# NVIDIA Developer Tools Catalog  

NVIDIA pioneered accelerated computing by extending the most successful parallel processor in history, the GPU, to general-purpose computing. However, accelerated computing requires more than just powerful chips. We help developers achieve incredible speedups through full-stack invention, from the chips and systems to the algorithms and applications they run. These algorithms are optimized and packaged into software developer kits (SDKs), where they help millions of developers across industries solve complex problems.

## Browse NVIDIA’s extensive suite of Developer Tools below:



| created_at | description | links | name | workload |
| --- | --- | --- | --- | --- |
| 2024-04-29T17:28:31+00:00 | NVIDIA Aerial™ CUDA®-Accelerated RAN is an application framework for building commercial-grade, software-defined, GPU-accelerated, cloud-native 5G and 6G networks. The platform supports full-inline GPU acceleration of layers 1 (L1) and 2 (L2) of the 5G stack. The Aerial CUDA-Accelerated RAN platform is the key building block for the accelerated 5G virtualized distributed unit (vDU) and has been deployed in commercial and research networks. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/aerial-cuda-accelerated-ran"} | Aerial CUDA Accelerated RAN | Other |
| 2024-04-29T17:33:25+00:00 | NVIDIA Aerial is an Application framework for building high performance, software-defined, cloud-native 5G applications to address increasing consumer demand. Optimize your results with parallel processing on GPU for baseband signals and data flow. Designed to jumpstart performance evaluation and benchmarking for RAN development, the NVIDIA Aerial™ Developer Kit includes preconfigured software and test vectors to deliver an out-of-the-box guided experience. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/aerial-sdk"} | Aerial Omniverse Digital Twin | Other |
| 2023-04-19T16:38:27+00:00 | Audio effects microservice is a ready-to-use containerized package built from state-of-the-art, pretrained models for enhancing audio using AI. This container includes all necessary dependencies, which can be easily deployed on public and private clouds. The microservices integrate applications with Maxine algorithms through cloud-based GPU computing. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/maxine"} | Audio Effects Microservice | Computer Vision / Video Analytics, Content Creation / Rendering |
| 2022-02-22T04:16:00+00:00 | The Audio Effects SDK enables developers to utilize AI in real-time to remove distracting background noise, isolating human speech in audio from incoming and/or outgoing audio feeds. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/maxine#:~:text=AUGMENTED%20REALITY%20SDK%20%C2%A0-,Audio%20Effects%20SDK,-The%20Audio%20Effects"} | Audio Effects SDK | Content Creation / Rendering |
| 2022-02-22T04:16:00+00:00 | The AR Effects SDK enables developers to create fun and engaging AR effects with real-time 3D tracking of a person?s face and body using a standard web camera. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/maxine#:~:text=Play%20Video-,Augmented%20Reality%20SDK,-The%20Augmented%20Reality"} | Augmented Reality (AR) SDK | AR / VR, Content Creation / Rendering |
| 2022-10-03T23:20:42+00:00 | BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at supercomputing scale.The service includes pretrained large language models (LLMs) and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/gpu-cloud/bionemo/"} | BioNeMo Framework | Data Center / Cloud, Data Science, Simulation / Modeling / Design, Other, Agentic AI / Generative AI |
| 2025-03-04T22:47:41+00:00 | The concept for the CUDA Core Compute Libraries (CCCL) grew organically out of the Thrust, CUB, and libcudacxx projects that were developed independently over the years with a similar goal: to provide high-quality, high-performance, and easy-to-use C++ abstractions for CUDA developers. Naturally, there was a lot of overlap among the three projects, and it became clear the community would be better served by unifying them into a single repository | {"text" => "Visit Product Page", "url" => "https://nvidia.github.io/cccl/cpp.html"} | CCCL-CUDA Core Compute Library | Data Center / Cloud, Simulation / Modeling / Design |
| 2022-02-22T04:16:00+00:00 | The CUDA Math library is an industry proven, highly accurate collection of standard mathematical functions. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cuda-math-library"} | CUDA MATH API | Simulation / Modeling / Design |
| 2022-02-22T04:16:00+00:00 | CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cuda-toolkit"} | CUDA Toolkit | Simulation / Modeling / Design |
| 2022-02-22T04:16:00+00:00 | The NVIDIA® CUDA Profiling Tools Interface (CUPTI) is a dynamic library that enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cupti"} | CUPTI | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Robotics, Simulation / Modeling / Design, Trustworthy AI / Cybersecurity, Agentic AI / Generative AI |
| 2022-02-22T04:16:00+00:00 | CUTLASS (CUDA Templates for Linear Algebra Subroutines), a collection of CUDA C++ templates and abstractions for implementing high-performance GEMM computations at all levels and scales within CUDA kernels. | {"text" => "Visit Product Page", "url" => "https://github.com/NVIDIA/cutlass"} | CUTLASS | Simulation / Modeling / Design |
| 2022-09-20T16:50:34+00:00 | CV-CUDA is an open source project that enables developers to build highly efficient, graphics processing unit (GPU)-accelerated pre- and post-processing pipelines in cloud-scale Artificial Intelligence (AI) imaging and computer vision (CV) workloads. With a specialized set of CV and image processing kernels that are hand-optimized for performance on data center GPUs, CV-CUDA assures that your processing pipelines built with these kernels are being executed to deliver a much higher throughput across the entire complex workload | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cv-cuda/early-access?nvid=nv-int-bnr-525531#cid=dev02_nv-int-bnr_en-us"} | CV-CUDA | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Data Science, Agentic AI / Generative AI |
| 2022-02-22T04:16:00+00:00 | NVIDIA Cloud Native Core (formerly known as EGX Stack) is a collection of software to run cloud native workloads on NVIDIA GPUs. From the enterprise to the edge, the NVIDIA EGX™ stack delivers a cloud-native platform for GPU-accelerated machine learning, deep learning, and high-performance computing (HPC). The EGX stack can be used to quickly and painlessly run GPU-optimized NGC™ containers on NVIDIA-Certified servers | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/egx-stack"} | Cloud Native Stack | Data Center / Cloud |
| 2022-02-22T04:16:00+00:00 | The NVIDIA CloudXR SDK provides a way to stream graphics-intensive augmented reality (AR), virtual reality (VR) or mixed reality (MR), content often called XR, over a radio signal (5G or Wifi) or ethernet. The SDK enables immediate streaming of OpenVR applications to a number of 5G-connected Android devices providing the benefits of graphics-intensive applications on relatively low-powered graphics hardware. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-cloudxr-sdk"} | CloudXR | AR / VR, Data Center / Cloud |
| 2022-02-22T04:16:00+00:00 | NVIDIA Data Loading Library (DALI) is a portable, open source library for decoding and augmenting images, videos and speech to accelerate deep learning applications. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/DALI"} | DALI | AR / VR, Computer Vision / Video Analytics |
| 2022-02-22T04:16:00+00:00 | NVIDIA Data Center GPU Manager (DCGM) is a suite of tools for managing and monitoring NVIDIA datacenter GPUs in cluster environments. It includes active health monitoring, comprehensive diagnostics, system alerts and governance policies including power and clock management. It can be used standalone by infrastructure teams and easily integrates into cluster management tools, resource scheduling and monitoring products from NVIDIA partners. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/dcgm"} | DCGM | Data Center / Cloud |
| 2022-02-22T04:16:00+00:00 | NVIDIA DLSS is a new and improved deep learning neural network that boosts frame rates and generates beautiful, sharp images for your games. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/dlss"} | DLSS | Content Creation / Rendering |
| 2022-02-22T04:16:00+00:00 | DOCA is a software framework that enables developers to rapidly create applications and services on top of NVIDIA BlueField® data processing units (DPUs), leveraging industry-standard APIs. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/networking/doca"} | DOCA | Data Center / Cloud, Networking / Communications, Trustworthy AI / Cybersecurity |
| 2022-02-22T04:16:00+00:00 | The open NVIDIA DRIVE® SDK gives developers all the building blocks and algorithmic stacks needed for autonomous driving. It empowers developers to efficiently build and deploy a variety of state-of-the-art AV applications more efficiently, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/drive/drive-sdk"} | DRIVEOS | Computer Vision / Video Analytics, Other |
| 2022-02-22T04:16:00+00:00 | NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/deepstream-sdk"} | DeepStream SDK | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Edge Computing, Robotics, Agentic AI / Generative AI |
| 2022-07-29T21:09:33+00:00 | The NVIDIA® DriveWorks SDK is the foundation for all autonomous vehicle (AV) software development. It provides an extensive set of fundamental capabilities, including processing modules, tools and frameworks that are required for advanced AV development. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/drive/driveworks"} | DriveWorks | Robotics |
| 2025-11-07T19:51:49+00:00 | FlashInfer is a library and kernel generator for Large Language Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, SparseAttention, PageAttention, Sampling, and more. FlashInfer focuses on LLM serving and inference, and delivers state-of-the-art performance across diverse scenarios. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/blog/run-high-performance-llm-inference-kernels-from-nvidia-using-flashinfer/"} | FlashInfer | Agentic AI / Generative AI |
| 2022-02-22T04:16:01+00:00 | FrameView is a software tool designed to capture and measureperformance and power utilization of PC-based graphics and CPU hardware. | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/geforce/news/nvidia-frameview-power-and-performance-benchmarking-app-download/"} | Frameview SDK | Content Creation / Rendering, Other |
| 2022-02-22T04:16:01+00:00 | Magnum IO GPUDirect® Storage creates a direct data path between local or remote storage, such as NVMe or NVMe over Fabrics (NVMe-oF), and GPU memory. By enabling a direct-memory access (DMA) engine near the network adapter or storage, it moves data into or out of GPU memory—without burdening the CPU. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/gpudirect"} | GPUDirect Storage | Data Center / Cloud |
| 2022-02-22T04:16:01+00:00 | Allow developers to manage their content on the GFN service, triage issues, and move more of their game development workflow into the cloud. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/join-geforce-now-dev-program"} | GeForce Now DevTools | Content Creation / Rendering |
| 2022-02-22T04:16:01+00:00 | The GeForce NOW SDK (GFN SDK) is a means for game developers and publishers to directly integrate with GeForce NOW, NVIDIA's Cloud Gaming Service. The GFN SDK is ever-evolving to provide easy integration of GeForce NOW features into publisher applications and games, as well as more efficient way to integrate games into the GeForce NOW ecosystem. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/geforce-now-sdk"} | GeForce Now SDK | Content Creation / Rendering, Data Center / Cloud |
| 2025-02-28T22:56:03+00:00 | The NVIDIA HPC-Benchmarks collection provides four benchmarks (HPL, HPL-MxP, HPCG, and STREAM) widely used in the HPC community optimized for performance on NVIDIA accelerated HPC systems.
 
 NVIDIA's HPL and HPL-MxP benchmarks provide software packages to solve a (random) dense linear system in double precision (64-bit) arithmetic and in mixed precision arithmetic using Tensor Cores, respectively, on distributed-memory computers equipped with NVIDIA GPUs, based on the Netlib HPL benchmark and HPL-MxP benchmark. | {"text" => "Visit Product Page", "url" => nil} | HPC Benchmarks | Simulation / Modeling / Design |
| 2022-02-22T04:16:01+00:00 | A Comprehensive Suite of Compilers, Libraries and Tools for HPC. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/hpc-sdk"} | HPC SDK | Data Center / Cloud, Simulation / Modeling / Design |
| 2022-02-22T04:16:01+00:00 | NVIDIA® HPC-X® is a comprehensive software package that includes Message Passing Interface (MPI), Symmetrical Hierarchical Memory (SHMEM) and Partitioned Global Address Space (PGAS) communications libraries, and various acceleration packages. This full-featured, tested, and packaged toolkit enables MPI and SHMEM/PGAS programming languages to achieve high performance, scalability, and efficiency and ensures that communication libraries are fully optimized by NVIDIA Quantum InfiniBand networking solutions. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/networking/hpc-x"} | HPC-X | Networking / Communications |
| 2024-06-27T17:45:35+00:00 | NVIDIA Holoscan for Media provides a unified, scalable infrastructure for real-time AI in live media. It supports flexible, software-defined workflows and accelerates emergent AI use cases across live media, news, and sports. The platform enables container orchestration for multi-vendor live production, is an IP-based solution built on industry standards like ST 2110 and includes integrated services like Precision Time Protocol (PTP) and NMOS for interoperability and manageability. This, combined with NVIDIA accelerated compute as its foundation, means that broadcasters, content creators, and streamers can power next-generation production infrastructure that redefines live production, drives monetization, and delivers transformative experiences for global audiences.  | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/holoscan-for-media"} | Holoscan for Media | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Edge Computing, Robotics |
| 2022-02-22T04:16:01+00:00 | NVIDIA IndeX is a 3D volumetric interactive visualization SDK that allows scientists and researchers to visualize and interact with massive data sets, make real-time modifications, and navigate to the most pertinent parts of the data, all in real-time, to gather better insights faster. IndeX leverages GPU clusters for scalable, real-time, visualization and computing of multi-valued volumetric data together with embedded geometry data. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-index"} | IndeX | Content Creation / Rendering, Data Center / Cloud, Simulation / Modeling / Design |
| 2024-07-31T20:54:37+00:00 | NVIDIA Isaac Lab is a lightweight sample application built on Isaac Sim and optimized for robot learning that's pivotal for robot foundation model training. | {"text" => "Visit Product Page", "url" => "https://docs.omniverse.nvidia.com/isaacsim/latest/isaac_lab_tutorials/index.html"} | Isaac Lab | Robotics |
| 2024-07-30T16:26:17+00:00 | NVIDIA Isaac™ Manipulator, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libraries and AI models that enables developers to build AI-enabled robot arms, or manipulators, that can perceive, understand, and interact with their environments. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac/manipulator"} | Isaac Manipulator | Robotics |
| 2024-07-30T16:30:05+00:00 | NVIDIA Isaac(TM) Perceptor, built on Isaac ROS, is a reference workflow of NVIDIA-accelerated libs and AI models that gives 3D Surround perception and localization solutions for mobile robots of all kinds. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac/perceptor"} | Isaac Perception | Robotics |
| 2022-02-22T04:16:01+00:00 | NVIDIA® Isaac ROS GEMs are hardware accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac-ros-gems"} | Isaac ROS | Computer Vision / Video Analytics, Edge Computing, Robotics |
| 2022-02-22T04:16:01+00:00 | NVIDIA Isaac Sim, powered by Omniverse, is a scalable robotics simulation application and synthetic data generation tool that powers photorealistic, physically-accurate virtual environments to develop, test, and manage AI-based robots. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac-sim"} | Isaac Sim | Computer Vision / Video Analytics, Robotics, Simulation / Modeling / Design |
| 2025-08-13T17:28:27+00:00 | NVIDIA Isaac for Healthcare is a domain-specific framework built on top of NVIDIA Isaac Sim, Nvidia Isaac Lab, NVIDIA Omniverse and Nvidia Holoscan, enabling developers to design, simulate, test, train and deploy AI-enabled robots and autonomous systems, and generate synthetic data across: Therapeutics: e.g., surgical robotics, interventional radiology and radiotherapy
 Diagnostics: e.g., ultrasound (US), computed tomography (CT), cone-beam CT (CBCT) Hospital & patient care: e.g. hospitals, operating rooms and intensive care units with medication delivery, supply transport, disinfection robots, 
 Rehabilitation & assistive technologies: e.g., physical therapy robots, exoskeletons, etc. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac/healthcare"} | Isaac for Healthcare | Computer Vision / Video Analytics, Robotics, Simulation / Modeling / Design |
| 2022-09-20T14:37:44+00:00 | JAX is a Python library designed for high-performance numerical computing and machine learning research. JAX can automatically differentiate native Python and implement the NumPy API. With just a few lines of code change, JAX enables distributed training across multi-node, multi-GPU systems, with accelerated performance through an XLA-optimized kernel on NVIDIA GPUs. Both Python and NumPy are widely used and familiar, making JAX simple, flexible, and easy to adopt | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/deep-learning-frameworks#jax"} | JAX | Data Science, Simulation / Modeling / Design |
| 2022-02-22T04:16:01+00:00 | NVIDIA JetPack SDK is the most comprehensive solution for building end-to-end accelerated AI applications. All Jetson modules and developer kits are supported by JetPack SDK. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/embedded/jetpack"} | JetPack SDK | Computer Vision / Video Analytics, Content Creation / Rendering, Edge Computing, Robotics, Agentic AI / Generative AI |
| 2023-01-17T22:31:41+00:00 | Omniverse Kaolin is an interactive application for researchers working on 3D Deep Learning. This application leverages the Omniverse platform, USD format and RTX rendering to provide interactive tools that allow visualizing 3D outputs of any Deep Learning model as it is training, inspecting 3D datasets to find inconsistencies and gain intuition, and rendering large synthetic datasets from collections of 3D data. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/kaolin"} | Kaolin | Simulation / Modeling / Design |
| 2022-02-22T04:16:01+00:00 | The NVIDIA Material Definition Language (MDL) is a programming language for defining physically based materials for rendering. The MDL SDK is a set of tools to integrate MDL support into rendering applications. It contains components for loading, inspecting, editing of material definitions as well as compiling MDL functions to GLSL, HLSL, Native x86, PTX and LLVM-IR. With the NVIDIA MDL SDK, any physically based renderer can easily add support for MDL and join the MDL eco-system. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/mdl-sdk"} | MDL SDK | AR / VR, Content Creation / Rendering, Content Creation / Rendering, Simulation / Modeling / Design |
| 2022-02-22T04:16:01+00:00 | The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. | {"text" => "Visit Product Page", "url" => "https://github.com/Project-MONAI/MONAI"} | MONAI Core | Computer Vision / Video Analytics, Data Center / Cloud, Agentic AI / Generative AI |
| 2022-02-22T04:16:01+00:00 | MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain. | {"text" => "Visit Product Page", "url" => "https://github.com/Project-MONAI/monai-deploy-app-sdk"} | MONAI Deploy App SDK | Computer Vision / Video Analytics, Data Center / Cloud |
| 2023-01-17T19:36:42+00:00 | Orchestrates what has to be executed based on the clinical workflow specification and incoming requests. | {"text" => "Visit Product Page", "url" => "https://github.com/Project-MONAI/monai-deploy-workflow-manager"} | MONAI Deploy Workflow Manager | Computer Vision / Video Analytics, Data Center / Cloud |
| 2022-02-22T04:16:01+00:00 | MONAI Label is an intelligent image labeling and learning tool that enables creating training datasets and building AI annotation models to accelerate the development of AI applications in medical imaging. | {"text" => "Visit Product Page", "url" => "https://monai.io/"} | MONAI Label | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing |
| 2023-01-13T21:03:16+00:00 | MONAI toolkit is a development sandbox offered as part of MONAI Enterprise, an NVIDIA AI Enterprise-supported distribution of MONAI. It includes a base container and a curated library of 9 pre-trained models (CT, MR, Pathology, Endoscopy), available on NGC, that allows data scientists and clinical researchers to jumpstart AI development. The base container includes MONAI Core, MONAI label and MONAI Model Zoo | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/clara/monai/index.html#toolkit-libraries"} | MONAI Toolkit | Computer Vision / Video Analytics, Data Center / Cloud, Agentic AI / Generative AI |
| 2022-02-22T04:16:03+00:00 | NVIDIA Maxine, part of the NVIDIA AI platform, is a suite of GPU-accelerated SDKs that reinvent audio and video communications with AI, elevating standard microphones and cameras for clear online communications. Maxine provides state-of-the-art real-time AI audio, video, and augmented reality features that can be built into customizable, end-to-end deep learning pipelines. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/maxine"} | Maxine | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud |
| 2025-12-04T23:19:05+00:00 | NeMo Megatron is the fastest framework for training large language models and can efficiently train models with billions and trillions of parameters. It provides data curation as well as parallelism techniques (Data, tensor and pipeline). | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nemo-megatron-early-access"} | Megatron LM | Agentic AI / Generative AI |
| 2022-07-26T21:48:28+00:00 | Merlin HugeCTR (Huge Click-Through-Rate) is a deep neural network (DNN) training framework designed for recommender systems. It provides distributed training with model-parallel embedding tables, an embeddings cache, and data-parallel neural networks across multiple GPUs and nodes for maximum performance. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-merlin/hugectr"} | Merlin HugeCTR | Data Science |
| 2022-02-22T04:16:01+00:00 | NVIDIA Morpheus is a cybersecurity framework which uses AI to identify, capture, and act on threats and anomalies that were previously impossible to identify. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/morpheus-cybersecurity"} | Morpheus | Data Center / Cloud, Data Science, Edge Computing, Trustworthy AI / Cybersecurity |
| 2022-02-22T04:16:01+00:00 | Whether you want to see your work across multiple displays or project your ideas in 4K, you can with NVIDIA Mosaic™ multi-display technology. With NVIDIA Mosaic, you can easily span any application across up to 16 high-resolution panels or projectors from a single system, conveniently treating the multiple displays as a single desktop, without application software changes or visual artifacts. | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/design-visualization/solutions/nvidia-mosaic-technology/"} | Mosaic | Other |
| 2022-02-22T04:16:01+00:00 | The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and Networking. NCCL provides routines such as all-gather, all-reduce, broadcast, reduce, reduce-scatter as well as point-to-point send and receive that are optimized to achieve high bandwidth and low latency over PCIe and NVLink high-speed interconnects within a node and over NVIDIA Mellanox Network across nodes. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nccl"} | NCCL | Networking / Communications |
| 2022-02-22T04:16:01+00:00 | NPP is a library of over 5,000 primitives for image and signal processing that lets you easily perform tasks such as color conversion, image compression, filtering, thresholding, and image manipulation. You can now access GPU-accelerated image, video, and signal-processing functions that perform up to 30X faster than CPU-only implementations. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/npp"} | NPP (NVIDIA Performance Primitives) | Computer Vision / Video Analytics |
| 2025-11-05T17:01:20+00:00 | NVIDIA NPP_Plus is a library of functions for performing CUDA accelerated 2D image and signal processing.
 The primary set of functionality in the library focuses on image processing and is widely applicable for developers in these areas.  The NPP_Plus library is written to maximize flexibility, while maintaining high performance. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/cuda/nppplus/introduction.html"} | NPP+ | Computer Vision / Video Analytics |
| 2022-02-22T04:16:01+00:00 | NVAPI is NVIDIA's core software development kit that allows direct access to NVIDIA GPUs and drivers on all windows platforms. NVAPI provides support for categories of operations that range beyond the scope of those found in familiar graphics APIs such as DirectX and OpenGL. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvapi"} | NVAPI | Content Creation / Rendering |
| 2022-02-22T04:16:02+00:00 | FLARE (Federated Learning Active Runtime Environment) is Nvidia’s open source extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflow to a privacy preserving federated paradigm. FLARE makes it possible to build robust, generalizable AI models without sharing data. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/flare"} | NVFLare | Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Edge Computing, Agentic AI / Generative AI |
| 2022-09-20T14:43:25+00:00 | NVIDIA Omniverse™ Avatar Cloud Engine (ACE), is a collection of cloud-based AI models and services for developers to easily build, customize and deploy engaging and interactive avatars | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-omniverse-platform/ace"} | NVIDIA ACE for Games | Agentic AI / Generative AI |
| 2025-03-31T22:30:02+00:00 | NVIDIA Dynamo is an open-source modular inference framework for serving generative AI models in distributed environments. It enables seamless scaling of inference workloads across large GPU fleets with dynamic resource scheduling, intelligent request routing, optimized memory management, and accelerated data transfer. | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/ai/dynamo/"} | NVIDIA Dynamo | Developer Tools & Techniques |
| 2024-12-11T17:25:46+00:00 | The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Toolkit, automatic node labelling using GFD, DCGM based monitoring and others. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cupqc"} | NVIDIA GPU Operator | Developer Tools & Techniques |
| 2022-02-22T04:16:00+00:00 | NVIDIA Clara™ Holoscan is a hybrid computing platform for medical devices that combines hardware systems for low-latency sensor and network connectivity, optimized libraries for data processing and AI, and core microservices to run streaming, imaging, and other applications anywhere, from embedded to edge to cloud. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/clara-holoscan-sdk"} | NVIDIA Holoscan | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Edge Computing, Robotics |
| 2025-11-07T17:45:21+00:00 | The NVIDIA In-Game Inferencing (NVIGI) SDK offers a streamlined and high performance path to integrate locally run AI models into games and applications via in-process (C++) execution and CUDA in Graphics. NVIGI supports all major inference backends, across different hardware accelerators (GPU, NPU, CPU), so developers can take advantage of the full range of available system resources on a user’s PC. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/in-game-inferencing"} | NVIDIA In-Game Inferencing SDK | Developer Tools & Techniques |
| 2025-10-01T17:23:11+00:00 | NVIDIA Inference Xfer Library (NIXL) is targeted for accelerating point to point communications in AI inference frameworks such as NVIDIA Dynamo, while providing an abstraction over various types of memory (e.g., CPU and GPU) and storage (e.g., file, block and object store) through a modular plug-in architecture. | {"text" => "Visit Product Page", "url" => "https://github.com/ai-dynamo/nixl"} | NVIDIA Inference Xfer Library (NIXL) | Developer Tools & Techniques |
| 2025-05-29T22:16:18+00:00 | NVIDIA Isaac™ GR00T is a research initiative and development platform for developing general-purpose robot foundation models and data pipelines to accelerate humanoid robotics research and development. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/isaac/gr00t"} | NVIDIA Isaac GROOT | Robotics |
| 2022-02-22T04:16:00+00:00 | NVIDIA Clara™ Parabricks is a computational framework supporting genomics applications from DNA to RNA. It employs NVIDIA’s CUDA, HPC, AI, and data analytics stacks to build GPU accelerated libraries, pipelines, and reference application workflows for primary, secondary, and tertiary analysis. Clara Parabricks is a complete portfolio of off-the-shelf solutions coupled with a toolkit to support new application development to address the needs of genomic labs. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/clara-parabricks"} | NVIDIA Parabricks | Data Science |
| 2022-02-22T04:16:02+00:00 | NVIDIA works with Facebook and the community to accelerate PyTorch on NVIDIA GPUs in the main PyTorch branch as well as as ready-to-run containers in NGC. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/blog/pytorch-releases-pytorch-hub/"} | NVIDIA PyTorch | Data Science |
| 2022-02-22T04:16:03+00:00 | Do your best work with the NVIDIA RTX™ branch of Unreal Engine (NvRTX), an optimized and feature-rich branch that contains all of our latest developments in the world of ray tracing.  NVIDIA has made it easy for game developers to add leading-edge technologies to their Unreal Engine games by providing custom UE branches for NVIDIA technologies on GitHub. NvRTX is an interactive solution that’s engaging, will shorten your development cycles, and will help you create even more stunning visuals. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/game-engines/unreal-engine/rtx-branch"} | NVIDIA RTX branch of Unreal Engine (NvRTX) | Content Creation / Rendering |
| 2022-02-22T04:16:01+00:00 | The NVIDIA Real-Time Denoisers (NRD) are a spatio-temporal API agnostic denoising library that?s designed to work with low ray per pixel signals. It uses input signals and environmental conditions to deliver results comparable to ground truth images. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/ray-tracing/rt-denoisers"} | NVIDIA Real-Time Denoisers (NRD) SDK | Content Creation / Rendering, Content Creation / Rendering |
| 2025-07-17T14:56:11+00:00 | TensorRT for RTX brings optimized AI inference and cutting-edge acceleration to developers using NVIDIA RTX GPUs. Offering peak performance for PC AI workloads such as CNN, Transformers, Speech & Diffusion models, and engineered to be lean at under 200MB, TensorRT for RTX delivers fast engine build times, typically within 15 to 30s. Engines built with TensorRT for RTX are portable across GPUs and OS – allowing build once, deploy anywhere workflows.
 TensorRT for RTX supports NVIDIA GeForce and RTX GPUs from the Turing family all the way to Blackwell and beyond. SDKs can be available for both Windows and Linux development. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/tensorrt"} | NVIDIA TensorRT for RTX | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing |
| 2022-02-22T04:16:02+00:00 | Create block-compressed textures and write custom asset pipelines using NVTT 3, an SDK for CUDA-accelerated texture compression and image processing. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/gpu-accelerated-texture-compression"} | NVIDIA Texture Tools (NVTT)3 | AR / VR, Content Creation / Rendering, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | New version of the Photoshop Texture Plugin; allows creators to import and export GPU-compressed texture formats such as DDS and KTX, and to apply image processing effects on the GPU. Uses NVTT (NVIDIA Texture Tools, proprietary version - this is the separate Exporter) as the base library. Includes a command-line interface for scripting and use in developer toolchains. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-texture-tools-exporter"} | NVIDIA Texture Tools-Photoshop Plug in | AR / VR, Content Creation / Rendering, Content Creation / Rendering |
| 2023-02-03T20:05:01+00:00 | NVIDIA Tokkio leverages Omniverse Avatar Cloud Engine (ACE), a suite of cloud-native AI models and services that make it easier to build and customize lifelike virtual assistants and digital humans. ACE is built on top of NVIDIA’s Unified Compute Framework, which provides access to the rich software tools and APIs needed to harness the wide range of skills needed for highly realistic, fully interactive avatars. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-omniverse-platform/ace/tokkio-showcase"} | NVIDIA Tokkio | Computer Vision / Video Analytics, Agentic AI / Generative AI |
| 2022-03-24T16:19:11+00:00 | The NVIDIA® UFM® platforms revolutionize data center networking management by combining enhanced, real-time network telemetry with AI-powered cyber intelligence and analytics to support scale-out InfiniBand data centers. | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/networking/infiniband/ufm/"} | NVIDIA UFM | Data Center / Cloud, Networking / Communications |
| 2022-09-30T22:10:33+00:00 | NVIDIA Warp is a Python framework that gives coders an easy way to write GPU-accelerated, kernel-based programs in NVIDIA Omniverse™ and OmniGraph. With Warp, Omniverse developers are creating GPU-accelerated, 3D simulation workflows and fantastic virtual worlds. Key benefits include simulation performance on par with native code and shorter time to market with improved iteration time. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/warp-python"} | NVIDIA Warp | Computer Vision / Video Analytics, Simulation / Modeling / Design |
| 2025-03-31T22:59:14+00:00 | NVRTC is a runtime compilation library for CUDA C++. It accepts CUDA C++ source code in character string form and creates handles that can be used to obtain the PTX. The PTX string generated by NVRTC can be loaded by cuModuleLoadData and cuModuleLoadDataEx, and linked with other modules by using the nvJitLink library or using cuLinkAddData of the CUDA Driver API. This facility can often provide optimizations and performance not possible in a purely offline static compilation. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/cuda/nvrtc/"} | NVRTC | Developer Tools & Techniques |
| 2022-02-22T04:16:02+00:00 | OpenSHMEM standard for GPU memory, with extensions for improved performance on GPUs. Parallel programming interface that provides efficient and scalable communication for NVIDIA GPU clusters. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvshmem"} | NVSHMEM | Networking / Communications |
| 2025-03-31T22:55:24+00:00 | The NVIDIA Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resources in your applications. Applications which integrate NVTX can use NVIDIA Nsight VSE to capture and visualize these events and ranges.
 
 The NVTX API provides additional information to improve presentation of data. In general, the NVTX SDK adds additional value to NVIDIA’s tools while incurring almost no overhead when the tool is not attached to the application. The NVTX API provides two core services: Tracing of CPU events and time ranges and naming of OS and API resources. NVTX can be quickly integrated into an application. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/nsight-visual-studio-edition/2020.1/nvtx/index.html"} | NVTX | Developer Tools & Techniques |
| 2023-01-05T19:20:06+00:00 | NanoVDB adds real-time rendering GPU support for OpenVDB. OpenVDB is the Academy Award-winning industry standard data-structure and toolset used for manipulating volumetric effects. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nanovdb"} | Nano VDB | Content Creation / Rendering |
| 2025-11-07T16:58:54+00:00 | NVIDIA NeMo™ Agent Toolkit is an open-source AI framework for building, profiling, and optimizing agents and tools from any framework, enabling unified, cross-framework integration across connected AI agent systems. By exposing hidden bottlenecks and costs and optimizing the workflow, it helps enterprises scale agentic systems efficiently while maintaining reliability.
 
 NeMo Agent Toolkit is part of the NVIDIA NeMo software suite for managing the AI agent lifecycle, providing telemetry, orchestration, and observability tools that accelerate development, uncover bottlenecks, and streamline performance across multi-agent systems. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nemo-agent-toolkit"} | NeMo Agent Toolkit | Agentic AI / Generative AI |
| 2022-02-22T04:16:02+00:00 | NVIDIA NeMo is an open-source framework for developers to build and train state-of-the-art conversation AI models. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-nemo"} | NeMo Framework | Computer Vision / Video Analytics, Agentic AI / Generative AI |
| 2023-05-01T23:06:43+00:00 | NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more. | {"text" => "Visit Product Page", "url" => "https://github.com/NVIDIA/NeMo-Guardrails"} | NeMo Guardrails | Agentic AI / Generative AI |
| 2025-12-03T20:09:19+00:00 | NeMo RL is an open-source post-training library developed by NVIDIA, designed to streamline and scale reinforcement learning methods for multimodal models (LLMs, VLMs, etc.). | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/nemo/rl/latest/index.html"} | NeMo RL | Agentic AI / Generative AI |
| 2022-09-29T22:17:31+00:00 | Neural VDB is the next evolution of Open VDB, the industry standard library for simulating and rendering dynamic volumes. Itintroduces a structure of compact neural representations that reduces memory footprints up to 100x | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rendering-technologies/neuralvdb"} | Neural VDB | Content Creation / Rendering |
| 2022-02-22T04:16:02+00:00 | NVIDIA® Nsight? Aftermath SDK is a simple library you integrate into your D3D12 or Vulkan game?s crash reporter to generate GPU "mini-dumps" when a TDR or exception occurs. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-aftermath"} | Nsight Aftermath | Content Creation / Rendering, Developer Tools & Techniques |
| 2025-04-09T15:47:07+00:00 | Nsight Cloud is a suite of cloud-native components that enable Nsight tools to profile and operate in containerized cloud, cluster, data center, and HPC environments. It streamlines the deployment of Nsight tools so you can easily profile and capture data from the CPU, GPU, network, storage, workload, API, and more. This helps you identify and fix performance bottlenecks and optimize workloads. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-cloud"} | Nsight Cloud | Content Creation / Rendering, Data Center / Cloud, Data Center / Cloud, Edge Computing, Robotics, Networking / Communications |
| 2022-02-22T04:16:02+00:00 | DevTool for CUDA Kernel profiling & debugging | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-compute"} | Nsight Compute | Content Creation / Rendering, Data Center / Cloud, Developer Tools & Techniques |
| 2025-08-06T18:39:46+00:00 | Nsight Copilot is NVIDIA’s AI-powered accelerated computing assistant. It provides intelligent code suggestions and assistance for NVIDIA® CUDA® development. It’s made available as a Visual Studio Code extension, and integration in the Nsight Compute kernel profiler is now available in preview. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-copilot"} | Nsight Copilot | Agentic AI / Generative AI |
| 2022-02-22T04:16:02+00:00 | An integrated development environment for developers who wish to incorporate high-performance DL-based features into host applications either on the desktop or on the edge. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-dl-designer"} | Nsight Deep Learning Designer | Developer Tools & Techniques, Agentic AI / Generative AI |
| 2022-02-22T04:16:02+00:00 | NVIDIA® Nsight? Graphics is a standalone developer tool that enables you to debug, profile, and export frames built with Direct3D (11, 12, DXR), Vulkan (1.3, NV Vulkan Ray Tracing Extension), OpenGL, OpenVR, and the Oculus SDK. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-graphics"} | Nsight Graphics | Content Creation / Rendering, Developer Tools & Techniques |
| 2022-02-22T04:16:02+00:00 | NVIDIA® Nsight Perf SDK is a graphics profiling toolbox for DirectX, Vulkan, and OpenGL, enabling you to collect GPU performance metrics directly from your application. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-perf-sdk"} | Nsight Perf SDK | Content Creation / Rendering |
| 2022-02-22T04:16:02+00:00 | NVIDIA® Nsight™ Systems is a system-wide performance analysis tool designed to visualize an application’s algorithms, help you identify the largest opportunities to optimize, and tune to scale efficiently across any quantity or size of CPUs and GPUs; from large server to our smallest SoC. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-systems"} | Nsight Systems | Content Creation / Rendering, Data Center / Cloud, Data Center / Cloud, Edge Computing, Robotics, Networking / Communications, Developer Tools & Techniques |
| 2022-02-22T04:16:02+00:00 | NVIDIA Nsight™ Visual Studio Code Edition (VSCE) is an application development environment for heterogeneous platforms that brings CUDA® development for GPUs into Microsoft Visual Studio Code. NVIDIA Nsight™ VSCE enables you to build and debug GPU kernels and native CPU code as well as inspect the state of the GPU and memory. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-visual-studio-code-edition"} | Nsight Visual Studio Code Edition | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Robotics, Simulation / Modeling / Design, Developer Tools & Techniques, Trustworthy AI / Cybersecurity, Agentic AI / Generative AI |
| 2022-02-22T04:16:01+00:00 | NVIDIA® Nsight? Visual Studio Edition is an application development environment for heterogeneous platforms which brings GPU computing into Microsoft Visual Studio. NVIDIA Nsight? VSE allows you to build and debug integrated GPU kernels and native CPU code as well as inspect the state of the GPU and memory. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-visual-studio-edition"} | Nsight Visual Studio Edition | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Robotics, Simulation / Modeling / Design, Developer Tools & Techniques, Trustworthy AI / Cybersecurity, Agentic AI / Generative AI |
| 2022-12-19T18:43:41+00:00 | With Opacity Micro-Map, you can more efficiently map intricate geometries onto triangles and micro-meshes. This technology encodes the opacity of micro-triangles and makes it possible to ray trace, at high performance, extremely detailed scene elements such as vegetation and foliage. A traditional alpha texture requires a more costly any-hit shader to produce the same result. Opacity Micro-Map was designed to support real-time ray tracing of extremely detailed elements, like ferns or door screens, with little cost, creating headroom for dramatically increased richness and realism. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/ray-tracing/micro-mesh"} | Opacity Micromap (OMM) SDK | Content Creation / Rendering, Content Creation / Rendering |
| 2025-08-29T18:07:53+00:00 | OpenUSD Exchange SDK accelerates OpenUSD adoption by helping developers design, build, and test their own USD I/O solutions, producing consistent and correct USD assets across diverse 3D ecosystems.These libraries and modules provide higher-level convenience functions as a companion to lower-level USD concepts, so developers can quickly adopt OpenUSD best practices when mapping their native data sources to OpenUSD-legible data models. | {"text" => "Visit Product Page", "url" => "https://docs.omniverse.nvidia.com/usd/code-docs/usd-exchange-sdk/latest/index.html"} | OpenUSD Exchange SDK | Content Creation / Rendering |
| 2022-02-22T04:16:02+00:00 | Optical Flow SDK exposes the latest hardware capability of Turing and Ampere GPUs dedicated to computing the relative motion of pixels between images. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/opticalflow-sdk"} | Optical Flow SDK | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering |
| 2022-12-19T18:41:06+00:00 | The NVIDIA RTX™ Path Tracing Software Development Kit (SDK) merges years of best practices within real-time ray tracing and neural graphics development for building a real-time path tracer. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/path-tracing"} | Path Tracing SDK | Content Creation / Rendering, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | NVIDIA PhysX is a scalable multi-platform physics simulation solution supporting a wide range of devices, from smartphones to high-end multicore CPUs and GPUs. The powerful SDK brings high-performance and precision accuracy to industrial simulation use cases from traditional VFX and game development workflows, to high-fidelity robotics, medical simulation, and scientific visualization applications. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/physx-sdk"} | PhysX | Content Creation / Rendering, Robotics, Simulation / Modeling / Design, Agentic AI / Generative AI |
| 2022-02-22T04:16:01+00:00 | NVIDIA PhysicsNeMo  is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/modulus"} | PhysicsNeMo | Data Center / Cloud, Simulation / Modeling / Design |
| 2022-09-22T17:56:36+00:00 | PyTorch Geometric (PyG) is a library built upon PyTorch to easily write and train GNNs for a wide range of applications related to structured data. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/gnn-frameworks#pyg"} | PyTorch Geometric(PyG) Container | Data Science |
| 2022-02-22T04:16:03+00:00 | RAPIDS is a suite of open-source software libraries and APIs for executing data science pipelines entirely on GPUs—and can reduce training times from days to minutes. Built on NVIDIA® CUDA-X AI™, RAPIDS unites years of development in graphics, machine learning, deep learning, high-performance computing (HPC), and more. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rapids"} | RAPIDS | Data Center / Cloud, Data Science, Edge Computing, Trustworthy AI / Cybersecurity |
| 2025-02-28T23:38:52+00:00 | RTX Texture Filtering is a technique that allows for more flexibility in texture filtering. RTXTF effectively loads a texel per frame based on the target filter and the probability to select a texel in that filtering footprint. Over many frames, the texels are interpolated based on frequency of selection in the filtering footprint with a TAA upscaler. The best results of interpolating with a TAA upscaler have been observed with DLSS-SR for bilinear and for noisier higher order filters like bicubic or gaussian, DLSS-RR is recommended. Some of the main differences with RTXTF is that shading is performed prior to filtering and higher order filters can be used without adding performance degradation due to the stochastic filtering approach. | {"text" => "Visit Product Page", "url" => "https://research.nvidia.com/publication/2024-05_filtering-after-shading-stochastic-texture-filtering"} | RTX  Texture Filtering | Content Creation / Rendering |
| 2025-04-09T19:38:28+00:00 | RTX texture streaming is a technology that optimizes texture loading and management in games, allowing for higher visual fidelity and better performance, especially on systems with limited VRAM. It works by loading textures on-demand as the player moves through the game world, rather than loading all textures into memory at once. | {"text" => "Visit Product Page", "url" => "https://research.nvidia.com/publication/2024-05_filtering-after-shading-stochastic-texture-filtering"} | RTX  Texture Streaming | Content Creation / Rendering |
| 2025-03-01T00:01:50+00:00 | RTX Character Rendering (RTXCR) implements techniques that are used for rendering realistic human hair and skin.
 RTXCR implements two hair shading techniques, the traditional near-field Chiang BSDF [ Chiang15 ], and a novel far-field analytical approach developed by the Omniverse team. For more information on the that solution and how to integrate it, please check the RTXCR Hair Guide
 RTXCR introduces a novel hair data structure called Linear-Swept Sphere (LSS). It delivers high performance in tracing and BVH updates while maintaining exceptionally low memory consumption. Additionally, it enables SOL tracing using the LSS Hardware Intersector on 4th-generation Ray Tracing Cores in Blackwell GPUs. For other RTX GPUs, we provide a fallback solution known as Disjoint Orthogonal Triangle Strips (DOTS), which replaces traditional triangle-based strands. For more details, check our LSS Technical Blog. | {"text" => "Visit Product Page", "url" => nil} | RTX CR-Character Rendering | Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | Imagine adding millions of dynamic lights to your game environments without worrying about performance or resource constraints. RTXDI makes this possible while rendering in real time. Geometry of any shape can now emit light and cast appropriate shadows: Tiny LEDs. Times Square billboards. Even exploding fireballs. RTXDI easily incorporates lighting from user-generated models. And all of these lights can move freely and dynamically. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/ray-tracing/rtxdi"} | RTX Direct Illumination (RTXDI) | Content Creation / Rendering, Content Creation / Rendering |
| 2025-02-28T23:25:33+00:00 | NVIDIA RTX™ Kit is a suite of neural rendering technologies including NVIDIA’s latest graphics SDKs for realistic path traced lighting and life-like character rendering. This document provides all the necessary supplemental materials to help you learn about RTX Kit and its components, and get started with development. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx-kit/."} | RTX Kit | Content Creation / Rendering |
| 2025-02-28T23:57:29+00:00 | RTX Mega Geometry (RTXMG) is a DX12 code sample that shows how to use NvAPI to quickly build ray-tracing acceleration structures for subdivision surfaces with structured clusters. It contains a reference HLSL path tracing demo app that can be used as a learning tool to begin integration with your own graphics engine. | {"text" => "Visit Product Page", "url" => nil} | RTX MG-Mega Geometry | Content Creation / Rendering |
| 2025-02-28T23:44:09+00:00 | RTX Neural Shading (RTXNS) also known as RTX Neural Shaders, is intended as a starting point for developers interested in bringing Machine Learning (ML) to their graphics applications. It provides a number of examples to help the reader understand how to train their own neural networks and then use those models to perform inference alongside their normal graphics rendering. | {"text" => "Visit Product Page", "url" => nil} | RTX NS-Neural Shading | Content Creation / Rendering |
| 2025-02-28T23:37:01+00:00 | Neural Texture Compression (NTC) is an algorithm designed to compress all PBR textures used for a single material together. It works best when the texture channels are correlated with each other, for example, detail in the albedo texture corresponds to detail in the normal texture. Up to 16 texture channels can be compressed into one NTC texture set. Typical PBR materials have 9-10 channels: 3x albedo, 3x normal, metalness, roughness, ambient occlusion, opacity. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx-kit/."} | RTX NTC-Neural Text Compression | Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | Leveraging the power of ray tracing, the RTX Global Illumination SDK provides scalable solutions to compute multi-bounce indirect lighting without bake times, light leaks, or expensive per-frame costs. RTXGI is supported on any DXR-enabled GPU, and is an ideal starting point to bring the benefits of ray tracing to your existing tools, knowledge, and capabilities. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/ray-tracing/rtxgi"} | RTXGI | Content Creation / Rendering, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | NVIDIA Reflex SDK allows game developers to implement a low latency mode that aligns game engine work to complete just-in-time for rendering, eliminating the GPU render queue and reducing CPU back pressure in GPU-bound scenarios. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/reflex"} | Reflex | Content Creation / Rendering, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance. Riva is also available with fully optimized pipelines for deploying real-time AI speech applications such as transcription and virtual assistants. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/riva"} | Riva | Agentic AI / Generative AI |
| 2022-02-22T04:16:03+00:00 | Unique IP-based solution that boosts video and data streaming performance. Rivermax together with NVIDIA GPU accelerated computing technologies unlocks innovation for a wide range of applications in Media and Entertainment (M&E), Broadcast, Healthcare, Smart Cities and more. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/networking/rivermax"} | Rivermax | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Content Creation / Rendering, Content Creation / Rendering, Data Center / Cloud, Other, Networking / Communications |
| 2025-03-03T22:48:45+00:00 | STBN | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/blog/rendering-in-real-time-with-spatiotemporal-blue-noise-textures-part-1/"} | STBN-SpatioTemporal BlueNoise | Content Creation / Rendering, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | Sionna is our Python library for the simulation of the physical layer of wireless communication systems. It is fully differentiable so that it is straight-forward to replace certain processing blocks, for example channel estimation, by neural networks. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/sionna"} | Sionna | Simulation / Modeling / Design |
| 2022-02-22T04:16:03+00:00 | The NVIDIA® Ethernet Switch SDK provides the flexibility to implement any switching and routing functionality, with sophisticated programmability that doesn’t compromise performance in packet rate, bandwidth, or latency.With the SDK, server and networking OEMs and network operating system (NOS) vendors can take advantage of the advanced networking features of the Ethernet switch family of integrated circuits (ICs) and build flexible, innovative, and cost-optimized switching solutions. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/networking/ethernet-switch-sdk"} | Spectrum Switch SDK | Data Center / Cloud, Edge Computing, Networking / Communications |
| 2022-09-21T20:57:27+00:00 | Streamline is an open-sourced cross-IHV solution that simplifies integration of the latest NVIDIA and other independent hardware vendors’ super resolution technologies into applications and games. This framework allows developers to easily implement one single integration and enable multiple super-resolution technologies and other graphics effects supported by the hardware vendor | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/rtx/streamline?nvid=nv-int-bnr-267421#cid=dev02_nv-int-bnr_en-us"} | Streamline | Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | NVIDIA Train, Adapt, and Optimize (TAO) Toolkit gives you a faster, easier way to accelerate training and quickly create highly accurate and performant, domain-specific AI models. (Formerly Transfer Learning Toolkit/TLT) | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/metropolis"} | TAO Toolkit | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Edge Computing, Robotics, Agentic AI / Generative AI |
| 2022-02-22T04:16:03+00:00 | NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/tensorrt"} | TensorRT | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing |
| 2025-11-10T16:34:53+00:00 | TensorRT-LLM is an open-source library for defining, optimizing, and executing large language models (LLM) for inference in production. It maintains the core functionality of FasterTransformer, paired with TensorRT’s Deep Learning Compiler, in an open source Python API to quickly support new models and customizations. | {"text" => "Visit Product Page", "url" => nil} | TensorRT Edge-LLM | Simulation / Modeling / Design |
| 2023-09-06T20:26:10+00:00 | TensorRT-LLM is an open-source library for defining, optimizing, and executing large language models (LLM) for inference in production. It maintains the core functionality of FasterTransformer, paired with TensorRT’s Deep Learning Compiler, in an open source Python API to quickly support new models and customizations. | {"text" => "Visit Product Page", "url" => nil} | TensorRT-LLM | Simulation / Modeling / Design |
| 2025-01-27T17:05:12+00:00 | torch-harmonics implements differentiable signal processing on the sphere. This includes differentiable implementations of the spherical harmonic transforms, vector spherical harmonic transforms and discrete-continuous convolutions on the sphere. The package was originally implemented to enable Spherical Fourier Neural Operators (SFNO) [1].
 
 The SHT algorithm uses quadrature rules to compute the projection onto the associated Legendre polynomials and FFTs for the projection onto the harmonic basis. This algorithm tends to outperform others with better asymptotic scaling for most practical purposes [2]. | {"text" => "Visit Product Page", "url" => nil} | Torch Harmonics | Simulation / Modeling / Design |
| 2022-02-22T04:16:03+00:00 | Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/tensorrt"} | Torch-TensorRT | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing |
| 2025-04-18T20:41:07+00:00 | NVIDIA® Transformer Engine is a library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/deeplearning/transformer-engine/"} | Transformer Engine | Data Science |
| 2022-02-22T04:16:03+00:00 | NVIDIA Triton™ Inference Server delivers fast and scalable AI in production. Triton Inference Server streamlines AI inference by enabling teams to deploy, run and scale trained AI models from any framework on any GPU- or CPU-based infrastructure. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-triton-inference-server"} | Triton Inference Server | Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Edge Computing, Trustworthy AI / Cybersecurity, Agentic AI / Generative AI |
| 2025-02-28T18:45:19+00:00 | Unified Communication - X Framework (UCX) is an acceleration library, integrated into the Open MPI (as a pml layer) and to OpenSHMEM (as an spml layer) and available as part of HPC-X. It is an open source communication library designed to achieve the highest performance for HPC applications. UCX has a broad range of optimizations for achieving low-software overheads in communication path which allows near native-level performance.
 
 UCX supports receive side tag matching, one-sided communication semantics, efficient memory registration and a variety of enhancements which increase the scalability and performance of HPC applications significantly. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/networking/display/hpcxv215/unified+communication+-+x+framework+library"} | UCX-Unified Communication X | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | The NVIDIA VRWorks Graphics SDK for HMD manufacturers provides custom tools to optimize performance and reduce latency while delivering the best image quality for high-resolution displays found in today?s VR HMDs. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/vrworks"} | VRWorks Graphics for HMD | AR / VR |
| 2022-02-22T04:16:03+00:00 | A comprehensive set of API including high-performance tools, samples and documentation for hardware accelerated video encode and decode on Windows and Linux. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-video-codec-sdk"} | Video Codec | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Data Center / Cloud, Networking / Communications |
| 2022-02-22T04:16:03+00:00 | The Video Effects SDK enables developers to utilize AI-based visual features in real-time, and transform noisy, low-resolution video streams into a pleasant end-user experience with a virtual background of their choice and higher resolution images with no video noise and reduced artifacts. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/maxine#:~:text=Maxine%20SDKs-,Video%20Effects%20SDK,-Maxine%E2%80%99s%20Video%20Effects"} | Video Effects SDK | Computer Vision / Video Analytics, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | NVIDIA WaveWorks enables developers to deliver a cinematic-quality ocean simulation for interactive applications. The simulation runs in the frequency domain using spectral wave model for wind waves and displacements plus velocity potentials for interactive waves. A set of inverse FFT steps then transforms to the spatial domain ready for rendering. The NVIDIA WaveWorks simulation is initialized and controlled by a simple C API and the results are accessed for rendering as native graphics API objects. Parameterization is via intuitive real-world variables, such as wind speed and direction. These parameters can be used to tune the look of the sea surface for a wide variety of conditions - from gentle ripples to a heavy storm-tossed ocean based on the Beaufort scale. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/waveworks"} | WaveWorks | Content Creation / Rendering, Content Creation / Rendering, Simulation / Modeling / Design |
| 2025-06-02T21:43:56+00:00 | NVIDIA Virtual Reality Capture and Replay (VCR) enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more. The tool records time-stamped HMD and controller inputs during an immersive VR session. The user can then replay the recording, without an HMD attached, to precisely reproduce the session. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/vcr-early-access"} | XCR | AR / VR, Content Creation / Rendering |
| 2022-02-22T04:16:03+00:00 | The cuBLAS Library provides a GPU-accelerated implementation of the basic linear algebra subroutines (BLAS). cuBLAS accelerates AI and HPC applications with drop-in industry standard BLAS APIs highly optimized for NVIDIA GPUs. The cuBLAS library contains extensions for batched operations, execution across multiple GPUs, and mixed and low precision execution. Using cuBLAS, applications automatically benefit from regular performance improvements and new GPU architectures. The cuBLAS library is included in both the NVIDIA HPC SDK and the CUDA Toolkit. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cublas"} | cuBLAS | Other |
| 2025-04-03T18:43:38+00:00 | NVIDIA cuBLASMp is a high-performance, multi-process, GPU-accelerated library for distributed basic dense linear algebra. cuBLASMp is compatible with 2D block-cyclic data layout and provides PBLAS-like C APIs.
 A companion library, CAL, contains utilities to manage communicators and to synchronize processes in a safe way. | {"text" => "Visit Product Page", "url" => nil} | cuBLASMp | Simulation / Modeling / Design |
| 2022-09-27T20:55:05+00:00 | If the problem size is too big to fit on the GPU, or your application needs single-node, multi-GPU support, cuBLASXt is a great option. cuBLASXt allows for hybrid CPU-GPU computation and supports BLAS Level 3 operations that perform matrix-to-matrix operations such as herk which performs the Hermitian rank update. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cublas"} | cuBLASXt | Simulation / Modeling / Design |
| 2022-02-22T04:16:03+00:00 | An extensible toolkit designed to provide GPU accelerated I/O, computer vision & image processing primitives for N-Dimensional images with a focus on biomedical imaging. | {"text" => "Visit Product Page", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtcspring21-s32194/"} | cuCIM | Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Agentic AI / Generative AI |
| 2023-01-20T21:21:34+00:00 | cuDF is a Python GPU DataFrame library (built on the Apache Arrow columnar memory format) for loading, joining, aggregating, filtering, and otherwise manipulating tabular data using a DataFrame style API in the style of pandas | {"text" => "Visit Product Page", "url" => nil} | cuDF | Data Center / Cloud, Data Science, Edge Computing |
| 2022-02-22T04:16:03+00:00 | NVIDIA CUDA® Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks with highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cudnn"} | cuDNN | Other |
| 2024-12-11T17:14:48+00:00 | NVIDIA cuDSS (Preview) is an optimized, first-generation GPU-accelerated Direct Sparse Solver library for solving linear systems with very sparse matrices. Direct Sparse Solvers are an important part of numerical computing for real-time applications like autonomous driving and process simulation, where increasing complexity and high throughput demands a robust direct solver. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cudss"} | cuDSS | Developer Tools & Techniques |
| 2025-02-27T21:51:42+00:00 | cuEquivariance is a Python library designed to facilitate the construction of high-performance equivariant neural networks using segmented tensor products. cuEquivariance provides a comprehensive API for describing segmented tensor products and optimized CUDA kernels for their execution. Additionally, cuEquivariance offers bindings for both PyTorch and JAX, ensuring broad compatibility and ease of integration.
 Marketing Description | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/cuda/cuequivariance/index.html"} | cuEquivariance | Developer Tools & Techniques |
| 2022-02-22T04:16:03+00:00 | The cuFFT Library provides GPU-accelerated FFT implementations that perform up to 10X faster than CPU-only alternatives. cuFFT is used for building commercial and research applications across disciplines such as deep learning, computer vision, computational physics, molecular dynamics, quantum chemistry, and seismic and medical imaging. Using cuFFT, applications automatically benefit from regular performance improvements and new GPU architectures. The cuFFT library is included in both the NVIDIA HPC SDK and the CUDA Toolkit. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cufft"} | cuFFT | Simulation / Modeling / Design |
| 2022-09-27T20:50:07+00:00 | To improve performance by avoiding unnecessary trips to global memory and allowing fusion of FFT kernels with other operations, check out cuFFT device extensions (cuFFTDx) . Part of the Math Libraries Device Extensions, it allows applications to compute FFTs inside user kernels. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cufft"} | cuFFTDx | Simulation / Modeling / Design |
| 2024-12-11T18:14:17+00:00 | cuGraph is a library of graph algorithms that seamlessly integrates into the RAPIDS data science ecosystem and allows the data scientist to easily call graph algorithms using data stored in cuDF/Pandas DataFrames or CuPy/SciPy sparse matrices. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/blog/beginners-guide-to-gpu-accelerated-graph-analytics-in-python/"} | cuGraph | Data Science |
| 2023-02-10T16:46:01+00:00 | cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.
 cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. | {"text" => "Visit Product Page", "url" => nil} | cuML | Data Science |
| 2024-11-27T17:57:15+00:00 | NVIDIA cuMotion is a software package for computing optimal-time, minimal-jerk trajectories for serial robot arms. It is capable of avoiding collisions with obstacles represented as a set of cuboids, meshes, signed distance fields (computed from one or more depth image streams using nvblox), or any combination of the three. cuMotion leverages NVIDIA hardware acceleration to compute such trajectories in a fraction of a second on Jetson AGX Orin or tens of milliseconds on a discrete GPU such as RTX 6000 (Ada Generation | {"text" => "Visit Product Page", "url" => "https://nvidia-isaac-ros.github.io/concepts/manipulation/index.html#nvidia-cumotion"} | cuMotion | Robotics |
| 2022-02-22T04:16:03+00:00 | NVIDIA® cuOpt™ is an Operations Research optimization API using AI to help developers create complex, real-time fleet routing. These APIs can be used to solve complex routing problems with multiple constraints and deliver new capabilities, like dynamic rerouting, job scheduling, and robotic simulations, with subsecond solver response time. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cuopt-logistics-optimization"} | cuOpt | Simulation / Modeling / Design |
| 2022-02-22T04:16:03+00:00 | NVIDIA cuNumeric aspires to be a drop-in replacement library for NumPy, bringing distributed and accelerated computing on the NVIDIA platform to the Python community. Library used for performing array-based numerical computations. cuNumeric achieves this by translating the NumPy application interface into the Legion programming model and leveraging the performance and scalability of the Legion runtime | {"text" => "Visit Product Page", "url" => "developer.nvidia.com/cuNumeric"} | cuPyNumeric | Data Science, Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | cuQuantum is an SDK of optimized libraries and tools for accelerating quantum computing workflows. Developers can use cuQuantum to speed up quantum circuit simulations based on state vector and tensor network methods by orders of magnitude. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cuquantum-sdk"} | cuQuantum | Simulation / Modeling / Design, Other |
| 2022-02-22T04:16:04+00:00 | The NVIDIA CUDA Random Number Generation library (cuRAND) delivers high performance GPU-accelerated random number generation (RNG). The cuRAND library delivers high quality random numbers 8x faster using hundreds of processor cores available in NVIDIA GPUs. The cuRAND library is included in both the NVIDIA HPC SDK and the CUDA Toolkit. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/curand"} | cuRAND | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | The NVIDIA cuSOLVER library provides a collection of dense and sparse direct linear solvers and Eigen solvers which deliver significant acceleration for Computer Vision, CFD, Computational Chemistry, and Linear Optimization applications. The cuSOLVER library is included in both the NVIDIA HPC SDK and the CUDA Toolkit. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cusolver"} | cuSOLVER | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | The cuSPARSE library provides GPU-accelerated basic linear algebra subroutines for sparse matrices that perform significantly faster than CPU-only alternatives. It provides functionality that can be used to build GPU accelerated solvers. cuSPARSE is widely used by engineers and scientists working on applications such as machine learning, computational fluid dynamics, seismic exploration and computational sciences. Using cuSPARSE, applications automatically benefit from regular performance improvements and new GPU architectures. The cuSPARSE library is included in both the NVIDIA HPC SDK and the CUDA Toolkit. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cusparse"} | cuSPARSE | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | cuSPARSELt, a high-performance CUDA library dedicated to general matrix-matrix operations in which at least one operand is a sparse matrix. The cuSPARSELt library lets you use NVIDIA third-generation Tensor Cores Sparse Matrix Multiply-Accumulate (SpMMA) operation without the complexity of low-level programming. The library also provides helper functions for pruning and compressing matrices. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cusparse"} | cuSPARSELt | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | The cuTENSOR Library is a GPU-accelerated tensor linear algebra library providing tensor contraction, reduction and elementwise operations. cuTENSOR is used to accelerate applications in the areas of deep learning training and inference, computer vision, quantum chemistry and computational physics. Using cuTENSOR, applications automatically benefit from regular performance improvements and new GPU architectures. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/cutensor"} | cuTENSOR | Simulation / Modeling / Design |
| 2025-02-27T21:59:59+00:00 | cuVS contains state-of-the-art implementations of several algorithms for running approximate and exact nearest neighbors and clustering on the GPU. It can be used directly or through the various databases and other libraries that have integrated it. The primary goal of cuVS is to simplify the use of GPUs for vector similarity search and clustering. | {"text" => "Visit Product Page", "url" => "https://docs.rapids.ai/api/cuvs/stable/"} | cuVS | Data Center / Cloud |
| 2023-01-19T22:44:20+00:00 | cuVSLAM provides accelerated performance (fps) delivering lowest* drift, angular error using stereo camera, robust visual odometry with fusion of Video and IMU sensor readings. Real time Loop Closure, high accuracy with ~1 mm in alignment in known locations (e.g. docking for charging). Versatility with distortion types - radial, fish eye and rational polynomial models - without the need to undistort the image. Consistent performance indoor/outdoor or environments with abrupt change in luminance without parameter adjustments. Ease of integration with minimum APIs or dependencies. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/isaac/packages/visual_slam/doc/elbrus_visual_slam.html"} | cuVSLAM | Robotics |
| 2022-02-22T04:16:04+00:00 | libcu++, the NVIDIA C++ Standard Library, provides a C++ Standard Library for your entire system which can be used in and between CPU and GPU code. | {"text" => "Visit Product Page", "url" => "https://github.com/NVIDIA/libcudacxx/"} | libcu++ | Simulation / Modeling / Design |
| 2022-02-22T04:16:04+00:00 | nvCOMP is a high performance GPU enabled data compression library. Includes both open-source and non-OS components. The nvCOMP library provides fast lossless data compression and decompression using a GPU. It features generic compression interfaces to enable developers to use high-performance GPU compressors in their applications. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvcomp"} | nvCOMP | Simulation / Modeling / Design |
| 2025-02-27T22:18:12+00:00 | The nvImageCodec is an open-source library of accelerated codecs with unified interface. It is designed as a framework for extension modules which delivers codec plugins.
 
 This nvImageCodec release includes the following key features:
 Unified API for decoding and encoding images
 Batch processing, with variable shape and heterogeneous formats images
 Codec prioritization with automatic fallback
 Builtin parsers for image format detection: jpeg, jpeg2000, tiff, bmp, png, pnm, webp
 Python bindings
 Zero-copy interfaces to CV-CUDA, PyTorch and CuPy
 End-end accelerated sample applications for common image transcoding | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/cuda/nvimagecodec/"} | nvImageCodec | AR / VR, Content Creation / Rendering, Data Science |
| 2022-02-22T04:16:04+00:00 | The nvJPEG library is a high-performance GPU-accelerated library for decoding, encoding and transcoding JPEG format images. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvjpeg"} | nvJPEG | Computer Vision / Video Analytics |
| 2022-02-22T04:16:04+00:00 | The nvJPEG2000 library is for decoding JPEG 2000 format images. Applications that rely on nvJPEG or nvJPEG2000 for decoding deliver higher throughput and lower latency compared to CPU-only decoding. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvjpeg"} | nvJPEG2K | Computer Vision / Video Analytics |
| 2025-02-28T18:34:30+00:00 | nvTIFF is a GPU accelerated TIFF(Tagged Image File Format) encode/decode library built on the CUDA platform. The library is supported on Volta+ GPU architectures. It supports the following TIFF feature set:
 Planar Separate and Contiguous modes
 
 Up to 16 Samples per pixel
 Compression
 JPEG(via nvJPEG) | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/cuda/nvtiff/userguide.html"} | nvTiff | Simulation / Modeling / Design |
| 2024-11-27T18:05:47+00:00 | Nvblox is a library for reconstruction and mapping targeted at robotics applications. It builds a voxel-based map from depth-images and/or 3D LiDAR scans. The library outputs a mesh of the world in real-time and a cost map for use in path planning. The library has been used for navigating Autonomous Mobile Robots (AMRs) and for motion generation for robotic arms. The library is optimized for discrete NVIDIA GPUs and Jetson devices. | {"text" => "Visit Product Page", "url" => "https://nvidia-isaac-ros.github.io/concepts/scene_reconstruction/nvblox/index.html"} | nvblox | Robotics |
| 2025-04-28T20:55:58+00:00 | nvmath-python (Beta) is an open source library that gives Python applications high-performance pythonic access to the core mathematical operations implemented in the NVIDIA CUDA-X™ Math Libraries for accelerated library, framework, deep learning compiler, and application development. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvmath-python"} | nvmath-python | Developer Tools & Techniques |
| 2022-02-22T04:16:04+00:00 | NVIDIA vMaterials are a curated collection of MDL materials and lights representing common real world materials used in design and AEC workflows. Integrating the Iray or MDL SDK quickly brings a library of hundreds of ready to use materials to your application without writing shaders. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/vmaterials"} | vMaterials | Content Creation / Rendering, Simulation / Modeling / Design |
| 2022-12-08T22:09:29+00:00 | VisRTX is an experimental, scientific visualization-focused implementation of the Khronos ANARI standard, and is developed by the HPC Visualization Developer Technology team at NVIDIA.VisRTX is designed to track ongoing developments of the ANARI standard and provide usable extensions where possible. | {"text" => "Visit Product Page", "url" => "https://github.com/NVIDIA/VisRTX"} | visRTX | Content Creation / Rendering, Data Center / Cloud, Simulation / Modeling / Design |
| 2022-07-26T22:19:28+00:00 | NeMo Megatron is the fastest framework for training large language models and can efficiently train models with billions and trillions of parameters. It provides data curation as well as parallelism techniques (Data, tensor and pipeline). | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nemo-megatron-early-access"} | NVIDIA Megatron Core | Agentic AI / Generative AI |
| 2026-01-07T19:21:04+00:00 | NeMo Megatron Bridge is a PyTorch-native library within the NeMo Framework that provides pretraining, SFT and LoRA for popular LLM and VLM models. It serves as a powerful bridge, conversion, and verification layer between Hugging Face and Megatron Core. It provides bidirectional checkpoint conversion between these formats, enabling other projects to leverage Megatron Core's parallelism capabilities or export models for various inference engines. The bridge includes built-in verification mechanisms to ensure conversion accuracy and checkpoint integrity across different model formats. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/nemo/megatron-bridge/latest/"} | NeMo Megatron Bridge | Agentic AI / Generative AI |
| 2026-03-04T22:47:34+00:00 | Nsight Cloud is a suite of cloud-native components that enable Nsight tools to profile and operate in containerized cloud, cluster, data center, and HPC environments. It streamlines the deployment of Nsight tools so you can easily profile and capture data from the CPU, GPU, network, storage, workload, API, and more. This helps you identify and fix performance bottlenecks and optimize workloads. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-cloud"} | Nsight Test | Computer Vision / Video Analytics, Content Creation / Rendering, Edge Computing, Networking / Communications |
| 2026-03-06T22:06:10+00:00 | The NVIDIA Blueprint for Video Search and Summarization (VSS) provides a suite of reference architectures for building vision agents and AI-powered video analytics applications. These reference architectures include accelerated vision-based microservices, VLMs, and LLMs which can be used in your existing applications, as standalone microservices, or as part of a larger vision agent built using the blueprint. | {"text" => "Visit Product Page", "url" => "https://docs.nvidia.com/vss/3.0.0/overview/3.0.0/index.html"} | Video Search and Summarization (VSS) | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Data Center / Cloud, Networking / Communications |
| 2022-02-22T04:16:02+00:00 | NVIDIA Omniverse? is a scalable, multi-GPU real-time reference development platform for 3D simulation and design collaboration, and based on Pixar's Universal Scene Description and NVIDIA RTX? technology. NVIDIA Omniverse is built from the ground up to be easily extensible and customizable with a modular development framework. While end-users and content creators leverage the Omniverse platform to connect and accelerate their 3D workflows, developers can plug into the platform layer of the Omniverse stack to easily build new tools and services. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nvidia-omniverse-platform"} | Omniverse Kit | AR / VR, Content Creation / Rendering, Robotics, Simulation / Modeling / Design, Agentic AI / Generative AI |
| 2022-02-22T04:16:03+00:00 | GPU-accelerated enhancements to gradient boosting library XGBoost to provide fast and accurate ways to solve large-scale AI and data science problems. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/blog/accelerating-spark-3-0-and-xgboost-end-to-end-training-and-hyperparameter-tuning/"} | RAPIDS Accelerator for Apache Spark | Data Science |
| 2026-05-29T18:49:25+00:00 | Nsight Python is a Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/nsight-python"} | Nsight Python | Content Creation / Rendering, Data Center / Cloud, Data Center / Cloud, Edge Computing, Robotics, Networking / Communications, Developer Tools & Techniques |
| 2026-06-12T18:16:42+00:00 | The Holoscan Sensor Bridge ensures real-time data processing, reducing latency by up to 10x compared to traditional systems. This means faster decision-making and more responsive applications, which are crucial in dynamic environments like autonomous vehicles and industrial automation. | {"text" => "Visit Product Page", "url" => "https://developer.nvidia.com/clara-holoscan-sdk"} | NVIDIA Holoscan Sensor Bridge | AR / VR, Computer Vision / Video Analytics, Content Creation / Rendering, Data Center / Cloud, Edge Computing, Robotics |



* * *

## Looking for More Information?

 ![](https://developer.download.nvidia.com/icons/m48-misc-question-faq.svg)
### Explore Forums

 ![](https://developer.download.nvidia.com/icons/m48-document-support-guide-2.svg)
### Read Documentation

 ![](https://developer.download.nvidia.com/icons/m48-people-group.svg)
### Join the NVIDIA Developer Program

 ![](https://developer.download.nvidia.com/icons/m48-document-support-guide-2.svg)
### Subscribe to Developer News