NVIDIA Documentation Hub

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  • Documentation Center
    04/10/23
    The integration of NVIDIA RAPIDS into the Cloudera Data Platform (CDP) provides transparent GPU acceleration of data analytics workloads using Apache Spark. This documentation describes the integration and suggested reference architectures for deployment.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    06/11/24
    NVIDIA Fleet Command brings secure edge AI to enterprises of any size. Transform NVIDIA-certified servers into secure edge appliances and connect them to the cloud in minutes. From the cloud, deploy and manage applications from the NGC Catalog or your NGC Private Registry, update system software over-the-air and manage systems remotely with nothing but a browser and internet connection.
    • Cloud Services
    • Edge Computing
    • Data Center / Cloud
  • Documentation Center
    01/23/23
    This documentation should be of interest to cluster admins and support personnel of enterprise GPU deployments. It includes monitoring and management tools and application programming interfaces (APIs), in-field diagnostics and health monitoring, and cluster setup and deployment.
  • Documentation Center
    03/16/24
    Developer documentation for Megatron Core covers API documentation, quickstart guide as well as deep dives into advanced GPU techniques needed to optimize LLM performance at scale.
  • Documentation Center
    06/07/24
    NIM for LLMs makes it easy for IT and DevOps teams to self-host large language models (LLMs) in their own managed environments while still providing developers with industry standard APIs that enable them to build powerful copilots, chatbots, and AI assistants that can transform their business.
  • Documentation Center
    01/23/23
    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.
  • Product
    04/12/23
    NVIDIA Aerial™ is a suite of accelerated computing platforms, software, and services for designing, simulating, and operating wireless networks. Aerial contains hardened RAN software libraries for telcos, cloud service providers (CSPs), and enterprises building commercial 5G networks. Academic and industry researchers can access Aerial on cloud or on-premises setups for advanced wireless and AI/machine learning (ML) research for 6G.
    • Edge Computing
    • Telecommunications
  • Product
    04/27/23
    NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    06/12/23
    A simulation platform that allows users to model data center deployments with full software functionality, creating a digital twin. Transform and streamline network operations by simulating, validating, and automating changes and updates.
  • Documentation Center
    02/03/23
    NVIDIA Ansel is a revolutionary way to capture in-game shots and share the moment. Compose your screenshots from any position, adjust them with post-process filters, capture HDR images in high-fidelity formats, and share them in 360 degrees using your mobile phone, PC, or VR headset.
  • Documentation Center
    05/09/24
    Your guide to NVIDIA APIs including NIM and CUDA-X microservices.
  • Product
    10/30/23
    NVIDIA Base Command Manager streamlines cluster provisioning, workload management, and infrastructure monitoring. It provides all the tools you need to deploy and manage an AI data center. NVIDIA Base Command Manager Essentials comprises the features of NVIDIA Base Command Manager that are certified for use with NVIDIA AI Enterprise.
    • Data Center / Cloud
  • Documentation Center
    01/25/23
    NVIDIA Base Command Platform is a world-class infrastructure solution for businesses and their data scientists who need a premium AI development experience.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    04/18/23
    NVIDIA Base OS implements the stable and fully qualified operating systems for running AI, machine learning, and analytics applications on the DGX platform. It includes system-specific configurations, drivers, and diagnostic and monitoring tools and is available for Ubuntu, Red Hat Enterprise Linux, and Rocky Linux.
    • Data Center / Cloud
  • Documentation Center
    03/08/23
    NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous HPC and AI server clusters at the edge, in the data center and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a single node to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and orchestration with Kubernetes.
    • HPC / Scientific Computing
    • Edge Computing
    • Data Center / Cloud
  • Documentation Center
    01/23/23
    NVIDIA Capture SDK (formerly GRID SDK) enables developers to easily and efficiently capture, and optionally encode, the display content.
  • Documentation Center
    02/06/23
    NVIDIA’s program that enables enterprises to confidently deploy hardware solutions that optimally run accelerated workloads—from desktop to data center to edge.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    04/27/23
    NVIDIA® Clara™ is an open, scalable computing platform that enables developers to build and deploy medical imaging applications into hybrid (embedded, on-premises, or cloud) computing environments to create intelligent instruments and automate healthcare workflows.
    • Healthcare & Life Sciences
    • Computer Vision / Video Analytics
  • Product
    Serverless API to deploy and manage AI workloads on GPUs at planetary scale.
  • Product
    01/23/23
    NVIDIA cloud-native technologies enable developers to build and run GPU-accelerated containers using Docker and Kubernetes.
    • Cloud Services
    • Data Center / Cloud
  • Documentation Center
    02/27/23
    CloudXR is NVIDIA's solution for streaming virtual reality (VR), augmented reality (AR), and mixed reality (MR) content from any OpenVR XR application on a remote server--desktop, cloud, data center, or edge.
  • Documentation Center
    04/25/23
    Compute Sanitizer is a functional correctness checking suite included in the CUDA toolkit. This suite contains multiple tools that can perform different type of checks. The memcheck tool is capable of precisely detecting and attributing out of bounds and misaligned memory access errors in CUDA applications. The tool can also report hardware exceptions encountered by the GPU. The racecheck tool can report shared memory data access hazards that can cause data races. The initcheck tool can report cases where the GPU performs uninitialized accesses to global memory. The synccheck tool can report cases where the application is attempting invalid usages of synchronization primitives. This document describes the usage of these tools.
  • Product
    04/03/23
    The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    04/12/23
    The NVIDIA CUDA® Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, attention, matmul, pooling, and normalization.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    07/14/23
    NVIDIA cuOpt™ is a GPU-accelerated solver that uses heuristics and metaheuristics to solve complex vehicle routing problem variants with a wide range of constraints.
    • Data Science
    • Robotics
  • Product
    03/22/23
    The NVIDIA Data Loading Library (DALI) is a collection of highly optimized building blocks, and an execution engine, for accelerating the pre-processing of input data for deep learning applications. DALI provides both the performance and the flexibility for accelerating different data pipelines as a single library. This single library can then be easily integrated into different deep learning training and inference applications.
    • Aerospace
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
  • Documentation Center
    01/23/23
    NVIDIA Data Center GPU drivers are used in Data Center GPU enterprise deployments for AI, HPC, and accelerated computing workloads. Documentation includes release notes, supported platforms, and cluster setup and deployment.
  • Documentation Center
    02/03/23
    NVIDIA Data Center GPU Manager (DCGM) is a suite of tools for managing and monitoring NVIDIA Data Center GPUs in cluster environments.
    • Aerospace
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
  • Documentation Center
    01/23/23
    Deep Graph Library (DGL) is a framework-neutral, easy-to-use, and scalable Python library used for implementing and training Graph Neural Networks (GNN). Being framework-neutral, DGL is easily integrated into an existing PyTorch, TensorFlow, or an Apache MXNet workflow.
  • Documentation Center
    07/27/23
    GPUs accelerate machine learning operations by performing calculations in parallel. Many operations, especially those representable as matrix multipliers will see good acceleration right out of the box. Even better performance can be achieved by tweaking operation parameters to efficiently use GPU resources. The performance documents present the tips that we think are most widely useful.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    04/26/24
    NVIDIA DGX Cloud is an AI platform for enterprise developers, optimized for the demands of generative AI.
  • Product
    11/03/23
    Built from the ground up for enterprise AI, the NVIDIA DGX platform incorporates the best of NVIDIA software, infrastructure, and expertise in a modern, unified AI development and training solution. Every aspect of the DGX platform is infused with NVIDIA AI expertise, featuring world-class software, record-breaking NVIDIA-accelerated infrastructure in the cloud or on-premises, and direct access to NVIDIA DGXPerts to speed the ROI of AI for every enterprise.
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
    • HPC / Scientific Computing
  • Product
    03/17/23
    Deployment and management guides for NVIDIA DGX SuperPOD, an AI data center infrastructure platform that enables IT to deliver performance—without compromise—for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and high-performance computing (HPC) workloads, with industry-proven results.
    • Data Center / Cloud
  • Product
    04/24/23
    System documentation for the DGX AI supercomputers that deliver world-class performance for large generative AI and mainstream AI workloads.
    • Data Center / Cloud
  • Documentation Center
    02/03/23
    The NVIDIA Deep Learning GPU Training System (DIGITS) can be used to rapidly train highly accurate deep neural networks (DNNs) for image classification, segmentation, and object-detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best-performing model from the results browser for deployment.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    01/23/23
    Learn how to develop for NVIDIA DRIVE®, a scalable computing platform that enables automakers and Tier-1 suppliers to accelerate production of autonomous vehicles.
  • Documentation Center
    01/23/23
    The NVIDIA EGX platform delivers the power of accelerated AI computing to the edge with a cloud-native software stack (EGX stack), a range of validated servers and devices, Helm charts, and partners who offer EGX through their products and services.
  • Product
    06/26/23
    NVIDIA’s accelerated computing, visualization, and networking solutions are expediting the speed of business outcomes. NVIDIA’s experts are here for you at every step in this fast-paced journey. With our expansive support tiers, fast implementations, robust professional services, market-leading education, and high caliber technical certifications, we are here to help you achieve success with all parts of NVIDIA’s accelerated computing, visualization, and networking platform.
  • Documentation Center
    02/03/23
    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.
  • Product
    01/25/23
    Documentation for GameWorks-related products and technologies, including libraries (NVAPI, OpenAutomate), code samples (DirectX, OpenGL), and developer tools (Nsight, NVIDIA System Profiler).
    • Gaming
    • Content Creation / Rendering
  • Documentation Center
    02/03/23
    The GeForce NOW Developer Platform is an SDK and toolset empowering integration of, interaction with, and testing on the NVIDIA cloud gaming service.
  • Documentation Center
    06/14/24
    NVIDIA GPUDirect Storage (GDS) enables the fastest data path between GPU memory and storage by avoiding copies to and from system memory, thereby increasing storage input/output (IO) bandwidth and decreasing latency and CPU utilization.
    • Aerospace
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
  • Product
    05/30/24
    Grace is NVIDIA’s first datacenter CPU. Comprising 72 high-performance Arm v9 cores and featuring the NVIDIA-proprietary Scalable Coherency Fabric (SCF) network-on-chip for incredible core-to-core communication, memory bandwidth and GPU I/O capabilities, Grace provides a high-performance compute foundation in a low-power system-on-chip.
    • Data Center / Cloud
  • Documentation Center
    02/03/23
    NVIDIA GVDB Voxels is a new framework for simulation, compute and rendering of sparse voxels on the GPU.
  • Documentation Center
    02/03/23
    NVIDIA Highlights enables automatic video capture of key moments, clutch kills, and match-winning plays, ensuring gamers’ best gaming moments are always saved. Once a Highlight is captured, gamers can simply share it directly to Facebook, YouTube, or Weibo right from GeForce Experience’s in-game overlay. Additionally, they can also clip their favorite 15 seconds and share as an animated GIF - all without leaving the game!
  • Product
    07/25/23
    NVIDIA 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 surgical video, ultrasound, medical imaging, and other applications anywhere, from embedded to edge to cloud.
    • Healthcare & Life Sciences
  • Documentation Center
    01/23/23
    The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and development tools used for developing HPC applications for the NVIDIA platform.
  • Product
    03/23/23
    NVIDIA IGX Orin™ is an industrial-grade platform that combines enterprise-level hardware, software, and support. As a single, holistic platform, IGX allows companies to focus on application development and realize the benefits of AI faster.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    02/03/23
    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.
  • Product
    01/23/23
    NVIDIA virtual GPU (vGPU) software is a graphics virtualization platform that extends the power of NVIDIA GPU technology to virtual desktops and apps, offering improved security, productivity, and cost-efficiency.
  • Product
    04/27/23
    NVIDIA® Clara™ is an open, scalable computing platform that enables developers to build and deploy medical imaging applications into hybrid (embedded, on-premises, or cloud) computing environments to create intelligent instruments and automate healthcare workflows.
    • Healthcare & Life Sciences
    • Computer Vision / Video Analytics
  • Documentation Center
    04/17/23
    NVIDIA Triton Inference Server (formerly TensorRT Inference Server) provides a cloud inferencing solution optimized for NVIDIA GPUs. The server provides an inference service via an HTTP or gRPC endpoint, allowing remote clients to request inferencing for any model being managed by the server.
  • Documentation Center
    02/03/23
    NVIDIA Maxine is a GPU-accelerated SDK with state-of-the-art AI features for developers to build virtual collaboration and content creation applications such as video conferencing and live streaming. Maxine’s AI SDKs, such as Video Effects, Audio Effects, and Augmented Reality (AR) are highly optimized and include modular features that can be chained into end-to-end pipelines to deliver the highest performance possible on GPUs, both on PCs and in data centers.
    • Aerospace
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
  • Product
    04/26/23
    NVIDIA LaunchPad is a free program that provides users short-term access to a large catalog of hands-on labs. Now enterprises and organizations can immediately tap into the necessary hardware and software stacks to experience end-to-end solution workflows in the areas of AI, data science, 3D design collaboration and simulation, and more.
    • Edge Computing
    • Data Center / Cloud
  • Documentation Center
    02/03/23
    The GeForce NOW Developer Platform is an SDK and toolset empowering integration of, interaction with, and testing on the NVIDIA cloud gaming service.
  • Documentation Center
    02/03/23
    VRWorks™ is a comprehensive suite of APIs, libraries, and engines that enable application and headset developers to create amazing virtual reality experiences. VRWorks enables a new level of presence by bringing physically realistic visuals, sound, touch interactions, and simulated environments to virtual reality.
  • Documentation Center
    02/03/23
    NVIDIA Data Center GPU Manager (DCGM) is a suite of tools for managing and monitoring NVIDIA Data Center GPUs in cluster environments.
    • Aerospace
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
  • Product
    Deep learning (DL) frameworks offer building blocks for designing, training, and validating deep neural networks through a high-level programming interface. Widely-used DL frameworks, such as PyTorch, TensorFlow, PyTorch Geometric, DGL, and others, rely on GPU-accelerated libraries, such as cuDNN, NCCL, and DALI to deliver high-performance, multi-GPU-accelerated training.
  • Documentation Center
    02/03/23
    NVIDIA GVDB Voxels is a new framework for simulation, compute and rendering of sparse voxels on the GPU.
  • Product
    04/27/23
    NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    06/27/23
    NVIDIA MAGNUM IO™ software development kit (SDK) enables developers to remove input/output (IO) bottlenecks in AI, high performance computing (HPC), data science, and visualization applications, reducing the end-to-end time of their workflows. Magnum IO covers all aspects of data movement between CPUs, GPUsns, DPUs, and storage subsystems in virtualized, containerized, and bare-metal environments.
  • Product
    04/03/23
    The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. With the CUDA Toolkit, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    07/25/23
    Protecting sensitive and proprietary information using strong hardware-based security.
    • Healthcare & Life Sciences
    • Financial Services
    • Data Center / Cloud
  • Documentation Center
    04/10/23
    The integration of NVIDIA RAPIDS into the Cloudera Data Platform (CDP) provides transparent GPU acceleration of data analytics workloads using Apache Spark. This documentation describes the integration and suggested reference architectures for deployment.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    01/11/24
    Metropolis Microservices for Jetson is a platform that simplifies development, deployment and management of Edge AI applications on NVIDIA Jetson. It provides a modular & extensible architecture for developers to distill large complex applications into smaller modular microservice with APIs to integrate into other apps & services.
  • Product
    03/27/23
    The NVIDIA TAO Toolkit eliminates the time-consuming process of building and fine-tuning DNNs from scratch for IVA applications.
    • Public Sector
    • Edge Computing
    • Computer Vision / Video Analytics
  • Documentation Center
    02/03/23
    NVIDIA SDK Manager is an all-in-one tool that bundles developer software and provides an end-to-end development environment setup solution for NVIDIA SDKs. Learn about the prerequisite hardware and software to get started with NVIDIA SDK Manager. See the latest features and updates.
  • Documentation Center
    02/06/23
    NVIDIA’s program that enables enterprises to confidently deploy hardware solutions that optimally run accelerated workloads—from desktop to data center to edge.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    02/03/23
    NVIDIA Ansel is a revolutionary way to capture in-game shots and share the moment. Compose your screenshots from any position, adjust them with post-process filters, capture HDR images in high-fidelity formats, and share them in 360 degrees using your mobile phone, PC, or VR headset.
  • Product
    07/25/23
    NVIDIA 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 surgical video, ultrasound, medical imaging, and other applications anywhere, from embedded to edge to cloud.
    • Healthcare & Life Sciences
  • Product
    09/14/23
    The RAPIDS Accelerator for Apache Spark leverages GPUs to accelerate processing by combining the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. You can run your existing Apache Spark applications on GPUs with no code change by launching Spark with the RAPIDS Accelerator for Apache Spark plugin jar and enabling a single configuration setting.
    • Data Science
  • Product
    02/16/23
    NVIDIA® License System is used to serve a pool of floating licenses to NVIDIA licensed products. The NVIDIA License System is configured with licenses obtained from the NVIDIA Licensing Portal.
    • Data Center / Cloud
  • Documentation Center
    06/07/24
    NIM for LLMs makes it easy for IT and DevOps teams to self-host large language models (LLMs) in their own managed environments while still providing developers with industry standard APIs that enable them to build powerful copilots, chatbots, and AI assistants that can transform their business.
  • Documentation Center
    02/03/23
    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.
  • Product
    04/18/23
    NVIDIA Base OS implements the stable and fully qualified operating systems for running AI, machine learning, and analytics applications on the DGX platform. It includes system-specific configurations, drivers, and diagnostic and monitoring tools and is available for Ubuntu, Red Hat Enterprise Linux, and Rocky Linux.
    • Data Center / Cloud
  • Documentation Center
    01/25/23
    NVIDIA Base Command Platform is a world-class infrastructure solution for businesses and their data scientists who need a premium AI development experience.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    03/22/23
    NVIDIA Topology-Aware GPU Selection (NVTAGS) intelligently and automatically assigns GPUs to MPI processes, which reduces overall GPU-to-GPU communication time for Message Passing Interface (MPI) applications.
    • HPC / Scientific Computing
    • Data Center / Cloud
  • Documentation Center
    02/03/23
    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.
  • Documentation Center
    01/23/23
    The NVIDIA Virtual Reality Capture and Replay (VCR) SDK enables developers and users to accurately capture and replay VR sessions for performance testing, scene troubleshooting, and more.
  • Documentation Center
    06/02/24
    The Triton Inference Server provides an optimized cloud and edge inferencing solution.
  • Product
    04/24/23
    System documentation for the DGX AI supercomputers that deliver world-class performance for large generative AI and mainstream AI workloads.
    • Data Center / Cloud
  • Documentation Center
    01/23/23
    NVIDIA Capture SDK (formerly GRID SDK) enables developers to easily and efficiently capture, and optionally encode, the display content.
  • Documentation Center
    01/23/23
    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.
  • Product
    11/03/23
    Built from the ground up for enterprise AI, the NVIDIA DGX platform incorporates the best of NVIDIA software, infrastructure, and expertise in a modern, unified AI development and training solution. Every aspect of the DGX platform is infused with NVIDIA AI expertise, featuring world-class software, record-breaking NVIDIA-accelerated infrastructure in the cloud or on-premises, and direct access to NVIDIA DGXPerts to speed the ROI of AI for every enterprise.
    • Hardware / Semiconductor
    • Architecture / Engineering / Construction
    • HPC / Scientific Computing
  • Product
    04/12/23
    NVIDIA Aerial™ is a suite of accelerated computing platforms, software, and services for designing, simulating, and operating wireless networks. Aerial contains hardened RAN software libraries for telcos, cloud service providers (CSPs), and enterprises building commercial 5G networks. Academic and industry researchers can access Aerial on cloud or on-premises setups for advanced wireless and AI/machine learning (ML) research for 6G.
    • Edge Computing
    • Telecommunications
  • Product
    Serverless API to deploy and manage AI workloads on GPUs at planetary scale.
  • Documentation Center
    01/23/23
    NVIDIA works with Facebook and the community to accelerate PyTorch on NVIDIA GPUs in the main PyTorch branch, as well as, with ready-to-run containers in NGC.
  • Product
    08/28/23
    NVIDIA NVSHMEM is an NVIDIA based “shared memory” library that provides an easy-to-use CPU-side interface to allocate pinned memory that is symmetrically distributed across a cluster of NVIDIA GPUs.
    • Data Center / Cloud
  • Product
    04/28/23
    NVIDIA Modulus is a deep learning framework that blends the power of physics and partial differential equations (PDEs) with AI to build more robust models for better analysis.
    • HPC / Scientific Computing
    • Simulation / Modeling / Design
  • Documentation Center
    03/08/23
    NVIDIA Bright Cluster Manager offers fast deployment and end-to-end management for heterogeneous HPC and AI server clusters at the edge, in the data center and in multi/hybrid-cloud environments. It automates provisioning and administration for clusters ranging in size from a single node to hundreds of thousands, supports CPU-based and NVIDIA GPU-accelerated systems, and orchestration with Kubernetes.
    • HPC / Scientific Computing
    • Edge Computing
    • Data Center / Cloud
  • Product
    09/05/23
    Accelerated Networks for Modern Workloads: One-third of the 30 million data center servers shipped each year are consumed running the software-defined data center stack.
    • Networking
  • Product
    04/19/23
    The NVIDIA 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.
    • Healthcare & Life Sciences
    • Computer Vision / Video Analytics
  • Product
    02/14/23
    NVIDIA NGX makes it easy to integrate pre-built, AI-based features into applications with the NGX SDK, NGX Core Runtime and NGX Update Module. The NGX infrastructure updates the AI-based features on all clients that use it.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Documentation Center
    01/23/23
    Learn how to develop for NVIDIA DRIVE®, a scalable computing platform that enables automakers and Tier-1 suppliers to accelerate production of autonomous vehicles.
  • Documentation Center
    01/23/23
    The RAPIDS data science framework is a collection of libraries for running end-to-end data science pipelines completely on the GPU. The interaction is designed to have a familiar look and feel to working in Python, but utilizes optimized NVIDIA CUDA primitives and high-bandwidth GPU memory under the hood.
  • Documentation Center
    02/03/23
    The NVIDIA Deep Learning GPU Training System (DIGITS) can be used to rapidly train highly accurate deep neural networks (DNNs) for image classification, segmentation, and object-detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best-performing model from the results browser for deployment.
    • Architecture / Engineering / Construction
    • Media & Entertainment
    • Restaurant / Quick-Service
  • Product
    05/30/24
    Grace is NVIDIA’s first datacenter CPU. Comprising 72 high-performance Arm v9 cores and featuring the NVIDIA-proprietary Scalable Coherency Fabric (SCF) network-on-chip for incredible core-to-core communication, memory bandwidth and GPU I/O capabilities, Grace provides a high-performance compute foundation in a low-power system-on-chip.
    • Data Center / Cloud