Explore the NVIDIA Ecosystem

• AI Factories & Infrastructure

  Plan, build and operate the data center systems that train and serve AI at scale.

  • NVIDIA DGX
  • DGX SuperPOD
  • Mission Control

  8 profiles Explore

• GPUs & Accelerated Computing

  Work out which NVIDIA architecture, chip and system suits a workload.

  • Vera Rubin
  • Blackwell
  • Grace CPU

  2 profiles Explore

• AI Networking & Connectivity

  Connect GPUs within and across racks so large AI jobs are not held back by the network.

  • Spectrum-X Ethernet
  • Quantum InfiniBand
  • NVLink

  3 profiles Explore

• Enterprise AI & Agents

  Build and run AI assistants and agents on company data with controls in place.

  • AI Enterprise
  • NIM
  • NeMo

  7 profiles Explore

• AI Inference & LLM Optimization

  Serve AI models with lower latency and lower cost per token on NVIDIA GPUs.

  • Dynamo
  • Dynamo-Triton
  • TensorRT LLM

  7 profiles Explore

• Developer Tools & Frameworks

  Write, profile, debug and package GPU-accelerated software.

  • CUDA Toolkit
  • CUDA-X
  • Nsight Systems

  6 profiles Explore

• Data Science & Analytics

  Run pandas, Spark, scikit-learn and optimization jobs faster on GPUs with few code changes.

  • CUDA-X Data Science
  • cuDF
  • cuML

  2 profiles Explore

• Digital Twins & Simulation

  Model a real site or product in 3D and test changes before making them physically.

  • Omniverse libraries
  • OpenUSD
  • DSX Sim

  3 profiles Explore

• Robotics & Physical AI

  Train robots in simulation, then run their AI on the machine itself.

  • Isaac Sim
  • Isaac Lab
  • Isaac GR00T

  5 profiles Explore

• Vision AI & Smart Environments

  Turn camera feeds into searchable events and alerts across a site.

  • Metropolis
  • DeepStream
  • VSS Blueprint

  3 profiles Explore

• Edge AI & Embedded Computing

  Run AI on devices and machines where data is produced, without a round trip to the cloud.

  • Jetson Thor
  • Jetson Orin
  • IGX Thor

  4 profiles Explore

• Autonomous Vehicles & Transportation

  Develop, simulate and run driver assistance and self-driving software.

  • DRIVE AGX Thor
  • DriveOS
  • Hyperion

  1 profile Explore

• Healthcare & Life Sciences

  Speed up genomics, drug discovery, imaging AI and medical device software with GPUs.

  • BioNeMo
  • Parabricks
  • MONAI

  2 profiles Explore

• Cybersecurity & Secure AI

  Isolate workloads, protect data in use and contain AI agents on NVIDIA infrastructure.

  • BlueField
  • DOCA
  • DOCA Argus

  2 profiles Explore

• Gaming, Graphics & Creative AI

  Improve game graphics and creative work with RTX and on-device AI.

  • GeForce RTX
  • DLSS
  • RTX Remix

  1 profile Explore

• Media & Entertainment

  Speed up rendering, virtual production, video processing and AI services for media companies.

  • RTX PRO
  • Omniverse
  • Video Codec SDK

  In research Explore

• Energy, Climate & Simulation

  Forecast weather, simulate physical systems and manage the energy use of AI data centers.

  • Earth-2
  • Earth2Studio
  • PhysicsNeMo

  In research Explore

• High-Performance Computing & Research

  Run simulations and scientific codes on GPUs, from one node to a supercomputer.

  • HPC SDK
  • CUDA
  • CUDA-X

  3 profiles Explore

• Startups, Education & Developer Ecosystem

  Find NVIDIA programs, training and free resources for startups and developers.

  • NVIDIA Inception
  • Deep Learning Institute
  • Developer Program

  2 profiles Explore

Show all 19 categories

• Accelerated analytics
• Build a smart factory
• Build an AI factory
• Build an enterprise AI assistant
• Build autonomous robots
• Create AI agents
• Deploy an LLM
• Edge AI
• Healthcare AI
• Logistics optimization
• Reduce inference costs
• Secure AI agents
• Simulate an AI data center
• Traffic management
• Video analytics
• Warehouse digital twin

• Software suite

  NVIDIA AI Enterprise

  NVIDIA AI Enterprise is a commercial, supported software suite that bundles NVIDIA's AI frameworks, NIM microservices and SDKs with GPU drivers, Kubernetes operators and Run:ai orchestration, adding release branches, security patching and SLA-backed support for production AI.

  • Inference & runtime software
  • Operations & orchestration
  • Models & frameworks
• Product

  NVIDIA AI Workbench

  AI Workbench is NVIDIA's free tool for running containerized, Git-managed AI projects on a laptop, a GPU workstation, a remote server or a cloud instance with the same interface. It handles containers, GPU drivers and remote connections; the latest release, 2026.06.5, shipped in July 2026.

  • Applications & solutions
  • Operations & orchestration
  • Accelerated computing
• Platform

  NVIDIA BioNeMo

  BioNeMo is NVIDIA's development platform for AI in biology and drug discovery: open models, training recipes, libraries, NIM microservices and, since June 2026, an agent toolkit. The older BioNeMo Framework container is archived; NVIDIA now points users to BioNeMo Recipes on GitHub.

  • Applications & solutions
  • Models & frameworks
  • Inference & runtime software
• Hardware family

  NVIDIA BlueField

  NVIDIA BlueField is a family of data processing units (DPUs) that sit in servers and storage systems and run networking, storage and security services on their own processors and accelerators, so host CPUs and GPUs are left for application work.

  • Networking, power & facilities
  • Accelerated computing
• Reference design

  NVIDIA Blueprints

  NVIDIA Blueprints are open reference workflows for agentic and generative AI use cases such as retrieval-augmented generation, video search and summarization, and research agents. Each provides sample code, deployment files and documentation built on NIM microservices and other NVIDIA libraries, meant to be adapted.

  • Applications & solutions
• Platform

  NVIDIA Cosmos

  NVIDIA Cosmos is an open platform of world foundation models and tools for physical AI. Cosmos 3 reasons over images and video and generates video, sound and robot actions; Curator, Evaluator and Cosmos Framework cover data, scoring and post-training. Licenses differ by model (OpenMDW 1.1 for Cosmos 3).

  • Models & frameworks
  • Inference & runtime software
• Software suite

  NVIDIA CUDA Toolkit

  The NVIDIA CUDA Toolkit is the development kit for programming NVIDIA GPUs: a compiler, runtime and driver APIs, math and parallel libraries, debugging and profiling tools, and documentation. The current release is CUDA 13.4 Update 1, and the GPU driver is now installed separately.

  • Accelerated computing
• Library

  NVIDIA CUDA-X Data Science

  NVIDIA CUDA-X Data Science, known until August 2026 as RAPIDS, is a collection of open source GPU libraries for data science: cuDF for dataframes, cuML for machine learning and cuGraph for graph analytics. Several of them can speed up existing pandas, scikit-learn or NetworkX code without code changes.

  • Accelerated computing
  • Applications & solutions

1. Microservice

   NVIDIA NIM

   NVIDIA NIM packages an AI model, an inference engine and its runtime into a container with standard APIs, so teams can self-host models on NVIDIA GPUs in the cloud, a data center, a workstation or at the edge instead of building their own serving stack.

2. Product

   NVIDIA Dynamo-Triton

   NVIDIA Dynamo-Triton, formerly Triton Inference Server, is open source inference serving software that runs models from many frameworks, including TensorRT, PyTorch, ONNX, OpenVINO, Python and RAPIDS FIL, on GPUs and CPUs behind HTTP/REST and gRPC APIs.

3. Library

   NVIDIA TensorRT LLM

   NVIDIA TensorRT LLM (often written TensorRT-LLM) is an open source library that speeds up large language model and visual generation inference on NVIDIA GPUs, using custom kernels, quantization, in-flight batching, paged KV cache, speculative decoding and multi-GPU parallelism behind a Python LLM API.

Relationship: different roles in the serving stack that work together. A team can use one, two or all three.

• BMW Group · Automotive manufacturing

  BMW Group: planning car plants in an Omniverse-based Virtual Factory

  BMW Group plans and checks its car plants in a Virtual Factory built on NVIDIA Omniverse and OpenUSD. BMW says digital twins now cover more than 30 production sites, cut collision checks for new models from almost four weeks to about three days, and are projected to lower planning costs by up to 30 percent.

  Scaling

• Danish Centre for AI Innovation (DCAI) · Research and AI infrastructure (sovereign AI)

  DCAI Gefion: Denmark's sovereign AI supercomputer on DGX SuperPOD

  Gefion, operated by the Danish Centre for AI Innovation, is an NVIDIA DGX SuperPOD with 1,528 H100 GPUs, funded by the Novo Nordisk Foundation and Denmark's export and investment fund. It went live in October 2024, placed 21st on the November 2024 TOP500 list, and now serves researchers and companies.

  In production

• Deutsche Telekom (T-Systems) · Telecommunications and cloud services

  Deutsche Telekom Industrial AI Cloud: an NVIDIA-based AI factory in Munich

  Deutsche Telekom opened its Industrial AI Cloud in Munich on 4 February 2026, with nearly 10,000 NVIDIA Blackwell GPUs in DGX B200 systems and RTX PRO Servers. Telekom says it was over a third utilized at opening, with Agile Robots and PhysicsX among early users.

  In production

• Foxconn (Hon Hai Technology Group) · Electronics manufacturing

  Foxconn: digital twins for new server plants with Omniverse, Isaac and Metropolis

  Foxconn uses NVIDIA Omniverse digital twins to plan production lines, Isaac to simulate robots and Metropolis for camera-based monitoring, from Hsinchu to new server plants in Mexico and the US. Most published results are expectations, such as a forecast energy cut of over 30 percent in Mexico.

  In production

• Instacart (Maplebear Inc.) · Grocery retail technology

  Instacart: Caper smart carts on Jetson and GPU ranking with Dynamo

  Instacart runs item recognition on its Caper smart carts with NVIDIA Jetson Orin NX modules and moved online ad and item ranking to NVIDIA GPUs with Dynamo. Published results include 65 percent lower whole-page ranking latency and an incremental sales lift above 1 percent in A/B tests.

  Scaling

• Mayo Clinic · Healthcare and medical research

  Mayo Clinic: a DGX SuperPOD with DGX B200 for pathology foundation models

  Mayo Clinic deployed an NVIDIA DGX SuperPOD with DGX B200 systems in July 2025 and says its first work will be building foundation models for pathology, drug discovery and precision medicine. Mayo states the system cuts four weeks of slide analysis and model work to one; no measurement is published.

  In production

1. The Machine.

   The Machine: How Intelligence Is Manufactured

   Michael Kagan, Chief Technology Officer, NVIDIA

   Confirmed

2. The Mirror.

   The Mirror: How We Rehearse the Physical World Before We Build It

   Brian Harrison, Senior Director, Software Product Management, Digital Twins for Omniverse, NVIDIA

   Planned

3. The Makers.

   The Makers: Who Builds on the Platform Next

   Tobias Halloran, Director, Startups, EMEAI, NVIDIA

   Confirmed

• Illustrative scenario

  A city with 10,000 cameras

  Traffic, safety and privacy at city scale: what to model first, what to keep out of scope.

  Try it in the Digital Twin Opportunity Lab
• Illustrative scenario

  A startup building autonomous robots

  Simulation, on-robot computing and the startup resources that fit an early team.

  Try it in the Startup-to-NVIDIA Match
• Illustrative scenario

  An AI company spending $1 million a month on inference

  What a cheaper token does to the bill when demand grows, and where the break-even sits.

  Try it in the AI Factory Efficiency Lab