# Open Source for Developers

Browse a selection of Open Source projects NVIDIA's engineers contribute to, including the Linux Kernel, PyTorch, Universal Scene Description (USD), Kubernetes, TensorFlow, Docker, and JAX.

[Releases](https://github.com/nvidia "Github Repo")

## Browse a selection of NVIDIA Open Source Projects



| excerpt | interest_areas | links | title |
| --- | --- | --- | --- |
| An open-source integration that enables GPU-accelerated Apache Spark for data analytics, machine learning, and deep learning pipelines | Computer Vision / Video Analytics, Data Center / Cloud, Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/apache-spark-3/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidia/spark-rapids"} | RAPIDS Accelerator for Apache Spark |
| A PyTorch extension: Tools for easy mixed precision and distributed training in PyTorch | Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/automatic-mixed-precision"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/apex"} | Apex |
| Distributed multi-grid linear solver library on GPU | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/amgx"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/AMGX"} | AmgX |
| A hybrid computing platform for medical devices, both hardware and software | Data Science, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/clara-holoscan-sdk"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidia/clara-holoscan"} | Clara Holoscan SDK |
| Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala. | Conversational AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/deeplearning/triton-inference-server/archives/triton_inference_server_1120/triton-inference-server-guide/docs/client.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/client"} | Client |
| A reference architecture for managing GPU workloads with Kubernetes | Data Center / Cloud, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/datacenter/cloud-native/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/cloud-native-stack"} | Cloud Native Stack |
| Optimized primitives for collective multi-GPU communication | Data Center / Cloud, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nccl"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nccl"} | Collective Communication Library (NCCL) |
| Allows users to build and run GPU accelerated containers. | Data Center / Cloud, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/k8s/containers/container-toolkit"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nvidia-container-toolkit"} | Container Toolkit |
| A library of collective primitives and utilities | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://nvlabs.github.io/cub/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidia/cub"} | CUB |
| A collection of templates for high-performance general matrix multiplication (GEMM) computations within CUDA kernels | Data Center / Cloud, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://devblogs.nvidia.com/cutlass-linear-algebra-cuda/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/cutlass"} | CUDA Templates for Linear Algebra Subroutines (CUTLASS) |
| An open-source GPU-accelerated solver for decision optimization | Data Center / Cloud, Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/ai-data-science/products/cuopt/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/cuopt"} | cuOpt |
| An open-source array library for GPU-accelerated computing with Python and CUDA | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://cupy.dev/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/cupy/cupy"} | CuPy |
| An SDK of optimized libraries and tools for accelerating quantum computing workflows | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/cuquantum-sdk"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/cuQuantum"} | cuQuantum |
| Data pre-processing in deep learning applications | Computer Vision / Video Analytics, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/dali"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/DALI"} | Data Loading Library (DALI) |
| DPDK is a set of libraries and optimized network interface card (NIC) drivers for fast packet processing in a user space. Also provides a framework and common API for high-speed networking applications. | Networking | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/networking/dpdk"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/DPDK/dpdk"} | Data Plane Development Kit(DPDK) |
| Open-source accelerator for deep learning inference | Computer Vision / Video Analytics, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://nvdla.org/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvdla"} | Deep Learning Inference Accelerator (NVDLA) |
| A real-time rendering framework | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/falcor"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidiagameworks/falcor"} | Falcor |
| Open source library to accelerate and deploy multi-GPU, multi-node large language models | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/accelerated-inference-for-large-transformer-models-using-nvidia-fastertransformer-and-nvidia-triton-inference-server/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/FasterTransformer"} | FasterTransformer |
| An open-source, extensible SDK that allows researchers and data scientists to adapt existing machine learning and deep learning workflow to a privacy-preserving federated paradigm | Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/flare"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/NVFlare"} | Federated Learning Active Runtime Environment (FLARE) |
| A Fortran compiler targeting low-level virtual machine (LLVM) | Data Center / Cloud, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://www.phoronix.com/news/LLVM-Flang-Upstreaming-CUDA"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/flang-compiler/flang"} | Flang |
| Automates the lifecycle management of the software required to expose GPUs on Kubernetes. | Data Center / Cloud, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/gpu-operator"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/gpu-operator"} | GPU Operator |
| An NVIDIA plug-in that enables GPU support in Kubernetes | Data Center / Cloud, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/k8s-device-plugin"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/k8s-device-plugin"} | K8s Device Plug-in |
| PyTorch-based library with modular optimized functionality for 3D deep learning research |  | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nvidia-kaolin"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIAGameWorks/kaolin/"} | Kaolin Library |
| Physically accurate material standard and SDK | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/mdl-sdk"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/MDL-SDK"} | Material Definition Language (MDL) |
| Ongoing research for training transformer models at scale | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/nlp/megatron.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/Megatron-LM"} | Megatron-LM |
| Open-source framework for building high-performing recommender systems at scale | Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/merlin"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-Merlin/Merlin"} | Merlin |
| NVIDIA PhysicsNeMo is the platform for developing Physics-ML models | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/physicsnemo"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/modulus"} | PhysicsNeMo |
| PyTorch-based framework for deep learning in healthcare imaging | Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://monai.io/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/Project-MONAI"} | MONAI |
| Open-source framework that enables cybersecurity developers to create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data | Cybersecurity, Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/morpheus-cybersecurity"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nv-morpheus/Morpheus"} | Morpheus |
| Software for enforcing safety, compliance, and appropriate behavior in AI agent interactions and outputs. | Computer Vision / Video Analytics, Conversational AI, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/nemo/guardrails/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/NeMo-Guardrails"} | NeMo Guardrails |
| Automates the lifecycle management of the software for accelerated networking on Kubernetes. | Data Center / Cloud, Edge Computing, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/cloud-native/containers/network-operator"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/Mellanox/network-operator"} | Network Operator |
| TensorRT backend for ONNX | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/speed-up-inference-tensorrt/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/onnx/onnx-tensorrt"} | ONNX-TensorRT |
| Open-source release of CUDA GPU kernel modules for Linux | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/nvidia-releases-open-source-gpu-kernel-modules/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/open-gpu-kernel-modules"} | Open GPU Kernel Modules |
| An open source machine learning framework that accelerates the path from research prototyping to production deployment. | Computer Vision / Video Analytics, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://www.pytorch.org/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/pytorch/pytorch"} | PyTorch |
| A suite of open-source software libraries and APIs for executing data science pipelines entirely on GPUs. | Data Science, Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://rapids.ai"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/RAPIDSai"} | RAPIDS |
| High-performance reinforcement learning library | Edge Computing, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://pypi.org/project/rl-games/1.0.2/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/Denys88/rl_games"} | RL games |
| Hardware-accelerated packages for the robot operating system (ROS)—deep neural networks (DNNs), perception pipelines, and deep learning software | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/isaac-ros"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-ISAAC-ROS"} | ROS GEMs |
| An Open-Source Library for 6G Physical-Layer Research | Edge Computing, Robotics, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/sionna"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvlabs/sionna"} | Sionna |
| An Open Source Machine Learning Framework for Everyone | Conversational AI, Data Center / Cloud, Edge Computing, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://www.tensorflow.org/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/tensorflow/tensorflow"} | TensorFlow |
| Integration to PyTorch with TensorRT to get 4X faster inference in PyTorch with one line of code | Computer Vision / Video Analytics, Conversational AI, Data Center / Cloud, Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/tensorrt"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/pytorch/TensorRT"} | Torch-TensorRT |
| cuDF - GPU DataFrame Library | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/cudf/stable/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cudf"} | cuDf |
| cuGraph - RAPIDS Graph Analytics Library | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/cugraph/stable/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cugraph"} | cuGraph |
| cuML - RAPIDS Machine Learning Library | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/cuml/stable/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cuml"} | cuML |
| CUDA-accelerated GIS and spatiotemporal algorithms | Data Center / Cloud, Data Science, Robotics, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/cuspatial/legacy/user_guide/cuspatial_api_examples/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cuspatial"} | cuSpatial |
| GPU accelerated cross filtering with cuDF. | Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/cuxfilter/stable/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cuxfilter"} | cuXfilter |
| CV-CUDA is an open-source, GPU accelerated library for cloud-scale image processing and computer vision. | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/cv-cuda"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/CVCUDA/CV-CUDA"} | CV-CUDA |
| Tools for building GPU clusters | Data Center / Cloud, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/deploying-rich-cluster-api-on-dgx-for-multi-user-sharing/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/deepops"} | Deepops |
| A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology | Data Center / Cloud, Data Science, Networking, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/gdrcopy"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/gdrcopy"} | GDRCopy |
| HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training | Conversational AI, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nvidia-merlin/hugectr"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-Merlin/HugeCTR"} | HugeCTR |
| Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance. | Computer Vision / Video Analytics, Edge Computing, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/isaac-ros"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_visual_slam"} | Isaac Ros Visual Slam |
| An educational AI robot based on NVIDIA Jetson Nano. | Computer Vision / Video Analytics, Edge Computing, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetbot-ai-robot-kit/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/jetbot"} | Jetbot |
| NVIDIA container runtime library | Data Center / Cloud, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/libnvidia-container"} | Libnvidia-container |
| An efficient C++17 GPU numerical computing library with Python-like syntax | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/speeding-up-numerical-computing-in-c-with-a-python-like-syntax-in-nvidia-matx/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/MatX"} | MatX |
| Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data | Conversational AI, Edge Computing, Generative AI, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://research.nvidia.com/labs/adlr/Mellotron/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/mellotron"} | Mellotron |
| MONAI Label is an intelligent open source image labeling and learning tool. | Computer Vision / Video Analytics, Data Science, Generative AI, Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://monai.io/label.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/Project-MONAI/MONAILabel"} | MONAILabel |
| NCCL Tests | Cybersecurity, Data Center / Cloud, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nccl"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nccl-tests"} | NCCL-tests |
| NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems. | Data Center / Cloud, Data Science, Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nvidia-merlin/nvtabular"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-Merlin/NVTabular"} | NVTabular |
| RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. | Data Science, Edge Computing, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/raft/stable/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/raft"} | Raft |
| RAPIDS Memory Manager | Data Center / Cloud, Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/rmm/stable/basics/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/rmm"} | RMM |
| Making it easier to work with shaders | Computer Vision / Video Analytics, Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://shader-slang.org/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/shader-slang/slang"} | Slang |
| Spark RAPIDS plugin - accelerate Apache Spark with GPUs | Data Center / Cloud, Data Science, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/spark-rapids/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/spark-rapids"} | Spark-Rapids |
| Streamline Integration Framework | AR / VR, Computer Vision / Video Analytics, Data Center / Cloud, Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/rtx/streamline"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIAGameWorks/Streamline"} | Streamline |
| 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. | Conversational AI, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://nvidia.github.io/TensorRT-LLM/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/TensorRT-LLM"} | TensorRT-LLM |
| 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. | Conversational AI, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/transformers4rec-building-session-based-recommendations-with-an-nvidia-merlin-library/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-Merlin/Transformers4Rec"} | Transformers4Rec |
| The Triton Inference Server provides an optimized cloud and edge inferencing solution. | Conversational AI, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/triton-inference-server"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/server"} | Triton Inference Server |
| Provides tools for deploying YOLO models with DeepStream SDK and TensorRT, featuring quantization-aware training (QAT) for optimized performance on platforms like Jetson AGX Orin and Tesla T4. | Conversational AI, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_custom_YOLO.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/yolo_deepstream"} | YOLO DeepStream |
| An open-source repository built to reduce the complexity of building AI models in drug discovery by offering modular, GPU-accelerated AI model architectures | Data Center / Cloud, Data Science, Generative AI, Content Creation/Rendering, Simulation / Modeling / Design, Other | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/containers/bionemo-framework"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/bionemo-framework"} | BioNeMo Framework |
| An easy to use PyTorch to TensorRT converter | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/tensorrt-getting-started"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/torch2trt"} | Torch2TRT |
| Simple samples for TensorRT programming | Computer Vision / Video Analytics, Data Center / Cloud, Edge Computing, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/deeplearning/tensorrt/pdf/TensorRT-Sample-Support-Guide.pdf"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/trt-samples-for-hackathon-cn"} | TRT Samples for Hackathon CN |
| Implementations of recent research prototypes/demonstrations using MONAI. | Computer Vision / Video Analytics, Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://monai.io/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/Project-MONAI/research-contributions"} | Research Contributions |
| AIStore: scalable storage for AI applications | AR / VR, Conversational AI, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://aistore.nvidia.com/blog"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/aistore"} | AIStore |
| Documentation of NVIDIA chip/hardware interfaces | Edge Computing, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://nvidia.github.io/open-gpu-doc/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/open-gpu-doc"} | Open GPU Documentation |
| Experimental reference implementation of the Senders model for asynchronous and parallel programming. | Data Center / Cloud, Edge Computing, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://nvidia.github.io/stdexec/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/stdexec"} | StdExec |
| A beginner-friendly Vulkan path tracing tutorial in under 300 lines of C++. | Edge Computing, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/samples"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvpro-samples/vk_mini_path_tracer"} | VK Mini Path Tracer |
| Combined repo for the RTX-Remix runtime | Computer Vision / Video Analytics, Edge Computing, Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/geforce/rtx-remix/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIAGameWorks/rtx-remix"} | RTX Remix |
| NVIDIA GPU metrics exporter for Prometheus leveraging DCGM | Data Center / Cloud, Edge Computing, Networking | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/datacenter/dcgm/latest/gpu-telemetry/dcgm-exporter.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/dcgm-exporter"} | DCGM Exporter |
| A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes. | Data Center / Cloud, Virtualization | {"target" => "_blank", "text" => "Home", "url" => "https://www.pugetsystems.com/labs/hpc/run-docker-containers-with-nvidia-enroot-2142/?srsltid=AfmBOornaDX-oh4wsaFGISUqGs2m3WML-Z-VQ6XnwdyzB1gJdrSdf687"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/enroot"} | Enroot |
| A library that implements a common abstraction layer over multiple graphics APIs (GAPIs) | Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/writing-portable-rendering-code-with-nvrhi/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIAGameWorks/nvrhi"} | NVRHI |
| Describes the full end to end smart parking application that is available with DeepStream 5.0 | AR / VR, Generative AI, Content Creation/Rendering, Video Streaming / Conferencing | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/containers/deepstream_360d"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/deepstream_360_d_smart_parking_application"} | DeepStream 360 Smart Parking Application |
| Examples demonstrating available options to program multiple GPUs in a single node or a cluster | Data Center / Cloud | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/on-demand/session/gtc24-s61339/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/multi-gpu-programming-models"} | Multi-GPU Programming Models |
| A JupyterLab extension for displaying dashboards of GPU usage. | Data Science, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/gpu-dashboards-in-jupyter-lab/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/jupyterlab-nvdashboard"} | JupyterLab NVIDIA Dashboard |
| An Aspiring Drop-In Replacement for NumPy at Scale | Data Science | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/tag/cunumeric/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nv-legate/cunumeric"} | cuNumeric |
| Build and run containers leveraging NVIDIA GPUs | Data Center / Cloud, Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nvidia-container-toolkit"} | NVIDIA Container Toolkit |
| Unified framework for robot learning built on NVIDIA Isaac Sim | AR / VR, Computer Vision / Video Analytics, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://arxiv.org/html/2301.04195v2"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-Omniverse/Orbit"} | Orbit |
| HPC Container Maker | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/hpc-sdk//hpc-sdk-container/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/hpc-container-maker"} | HPC Container Maker |
| A project demonstrating how to use the libs of cuPCL. | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://forums.developer.nvidia.com/t/cupcl-voxeldownsampling-and-cluster-filter-warp-out-of-range-address/247301"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/cuPCL"} | cuPCL |
| A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC). | Data Center / Cloud, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://pcl.readthedocs.io/projects/tutorials/en/pcl-1.11.0/gpu_install.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/jitify"} | Jitify |
| Sample apps to demonstrate how to deploy models trained with TAO on DeepStream | Computer Vision / Video Analytics, Conversational AI, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_TAO_integration.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/deepstream_tao_apps"} | DeepStream TAO Apps |
| Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models. | Conversational AI, Data Center / Cloud, Edge Computing, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/user_guide/model_analyzer.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/model_analyzer"} | Model Analyzer |
| NVIDIA driver control panel | Other | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/content/Control-Panel-Help/vLatest/en-us/mergedProjects/nv3d/Manage_3D_Settings_(reference).htm"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nvidia-settings"} | NVIDIA Settings |
| CUDA C++ library for concurrent data structures, including hash maps. | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/maximizing-performance-with-massively-parallel-hash-maps-on-gpus/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/cuCollections"} | cuCollections |
| PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments. | Conversational AI, Generative AI, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/how-to-deploy-an-ai-model-in-python-with-pytriton/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/pytriton"} | PyTriton |
| Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures. | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://research.nvidia.com/publication/2019-03_timeloop-systematic-approach-dnn-accelerator-evaluation"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVlabs/timeloop"} | TimeLoop |
| Utilities for Dask and CUDA interactions | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.rapids.ai/api/dask-cuda/nightly/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/dask-cuda"} | Dask-CUDA |
| CUDA Kernel Benchmarking Library | Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://sites.google.com/view/nvbench/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/nvbench"} | NVBench |
| Accelerated computer vision and image processing software library for multidimensional images used in biomedical, geospatial, material and life science, and remote sensing use cases. | AR / VR, Computer Vision / Video Analytics, Content Creation/Rendering | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/cucim-for-image-io-processing"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/rapidsai/cucim"} | cuCIM |
| Common source, scripts and utilities for creating Triton backends. | Conversational AI, Data Center / Cloud, Data Science, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/blog/deploying-gpt-j-and-t5-with-fastertransformer-and-triton-inference-server/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/backend"} | Backend |
| A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras. | Computer Vision / Video Analytics, Robotics, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://nvidia-isaac-ros.github.io/concepts/scene_reconstruction/nvblox/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidia-isaac/nvblox"} | NVBlox |
| Sample app code for LPR deployment on DeepStream | Computer Vision / Video Analytics, Generative AI, Video Streaming / Conferencing | {"target" => "_blank", "text" => "Home", "url" => "https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/lprnet"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA-AI-IOT/deepstream_lpr_app"} | DeepStream LPR App |
| NeMo Megatron launcher and tools | Computer Vision / Video Analytics, Conversational AI, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/nemo-framework/user-guide/latest/launcherguide/launcherintro.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/NeMo-Megatron-Launcher"} | NeMo Megatron Launcher |
| NVIDIA/Cosmos: Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. Cosmos is purpose built for physical AI. The Cosmos repository will enable end users to run the Cosmos models, run inference scripts and generate videos. | AR / VR, Conversational AI, Edge Computing, Generative AI, Robotics | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/ai/cosmos/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/Cosmos"} | Cosmos |
| Easily write GPU-accelerated, kernel-based programs for simulation AI, robotics, and machine learning (ML) in Python. | Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/warp-python"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/warp"} | Warp |
| AI workload and GPU orchestration tool to manage and optimize compute resources across Kubernetes clusters. |  | {"target" => "_blank", "text" => "Home", "url" => "https://www.nvidia.com/en-us/software/run-ai"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/KAI-scheduler"} | KAI Scheduler |
| NeMo Agent ToolkitNVIDIA NeMo™ Agent toolkit is an open-source library that provides framework-agnostic profiling, evaluation, and optimization for production AI agent systems. | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nemo-agent-toolkit"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/NeMo-Agent-Toolkit"} | NeMo Agent Toolkit |
| The NVIDIA Physical AI Dataset, an open-source dataset composed of validated data used to build NVIDIA physical AI, available to developers on Hugging Face. | Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://huggingface.co/collections/nvidia/physicalai-67c643edbb024053dcbcd6d8"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/nvidia-cosmos"} | Physical AI Dataset |
| NVIDIA Dynamo is an open-source, low-latency, modular inference framework for serving generative AI models in distributed environments. It enables seamless scaling of inference workloads across large GPU fleets with intelligent resource scheduling and request routing, optimized memory management, and seamless data transfer. | Cybersecurity, Data Center / Cloud, Generative AI, Networking, Content Creation/Rendering, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/dynamo"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/ai-dynamo/dynamo"} | Dynamo |
| NVIDIA Dynamo-Triton, formerly NVIDIA Triton Inference Server™, standardizes AI model deployment and execution across every workload. It supports high-performance inference on both NVIDIA GPUs and x86 & Arm CPUs. It can be used to deploy models from all popular frameworks. These include NVIDIA TensorRT™-LLM, vLLM, TensorFlow, PyTorch, Python, ONNX, RAPIDS cuML, XGBoost, scikit-learn, RandomForest, OpenVINO, custom C++, and more. | Data Center / Cloud, Generative AI, Content Creation/Rendering, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/triton-inference-server/server"} | Dynamo-Triton (Previously Triton) |
| Newton is an open-source, GPU-accelerated, and extensible physics engine built on NVIDIA Warp and OpenUSD, Newton is optimized for robotics and compatible with learning frameworks such as MuJoCo Playground and NVIDIA Isaac Lab. Newton is co-developed by NVIDIA, Google DeepMind, and Disney Research, and is managed by the Linux Foundation. | Robotics, Simulation / Modeling / Design, Other | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/newton-physics"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/newton-physics"} | Newton Physics Engine |
| End-to-end toolkit for pre-training, post-training, and reinforcement learning of multi-modal generative AI models at scale. Designed to enable experimentation and research with advanced distribution training support. | Computer Vision / Video Analytics, Conversational AI, Generative AI | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nvidia-nemo"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/NeMo\n\nhttps://github.com/NVIDIA-NeMo/"} | NeMo Framework |
| NVIDIA Nemotron™ is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents. | Computer Vision / Video Analytics, Conversational AI, Cybersecurity, Data Science, Edge Computing, Generative AI, Content Creation/Rendering, Video Streaming / Conferencing, Other | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/nemotron"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://developer.nvidia.com/nemotron"} | NVIDIA Nemotron |
| NVIDIA Isaac Sim™ is an open-source reference framework built on NVIDIA Omniverse™ that enables developers to simulate and test AI-driven robotics solutions in physically based virtual environments. | Robotics, Simulation / Modeling / Design, Other | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/isaac/sim"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/isaac-sim/IsaacSim"} | NVIDIA Isaac Sim |
| AI models, simulation, and datasets for reasoning-based autonomous vehicles | Computer Vision / Video Analytics, Simulation / Modeling / Design | {"target" => "_blank", "text" => "Home", "url" => "https://developer.nvidia.com/alpamayo"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVlabs/alpamayo"} | Alpamayo |
| SDK for building commercial-grade and AI-native 5G/6G gNB software on NVIDIA platforms. | Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/aerial/cuda-accelerated-ran/latest/index.html"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/aerial-cuda-accelerated-ran"} | Aerial CUDA-Accelerated RAN |
| Toolchain for generating and executing GPU-accelerated 5G/6G pipelines from Python | Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/aerial/framework/latest/"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/aerial-framework"} | Aerial Framework |
| Example applications and reference implementations for NVIDIA AI Aerial | Edge Computing | {"target" => "_blank", "text" => "Home", "url" => "https://docs.nvidia.com/aerial/aerial-ran-colab-ota/current/text/product_description/index.html#extending-ran-functionality-with-dapps"}, {"target" => "_blank", "text" => "GitHub", "url" => "https://github.com/NVIDIA/aerial-sample-apps"} | Aerial Sample Apps |



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