Robotics and Edge Computing Solutions

Robotics and Edge Computing Solutions

Innovative solutions to take on your robotics, edge, and vision AI challenges.

Overview

Accelerate Robotics Development

AI is transforming industries and tackling global challenges. NVIDIA’s robotics solutions are helping drive this revolution with tools for developing and deploying AI-powered robots and vision applications tailored to meet the needs of multiple industries. They’re powered by generative AI at the edge, scalable software, a modern AI stack, flexible microservices and APIs, production-ready ROS packages, and application-specific AI workflows. From hardware solutions on NVIDIA Jetson™ to software solutions on NVIDIA Isaac™, NVIDIA’s end-to-end robotics platform lets you train, develop, and deploy AI-enabled robots quickly and efficiently, so you can bring your products to market faster. 

NVIDIA Accelerates Worldwide Humanoid Robotics Development

Advance generative AI for robotics with NVIDIA NIM™ inference microservices for robotics simulation in Isaac Lab and Isaac Sim™, OSMO robot cloud compute orchestration service, teleoperated data capture workflows, and more.

NVIDIA Announces Generative AI Models and NIM Microservices for OpenUSD Language, Geometry, Physics and Materials

New services accelerate universal scene description-based workflows and development of industrial digital twins and robotics.

Technology

Discover The Technology Behind the Solutions

A Compact and Powerful Edge AI Computer

Deliver unparalleled AI compute, large unified memory, and high-speed interface support.

Purpose-Built Application Framework for Different Verticals

Enable faster time to market for vision AI, advanced robotics, real-time sensor processing, and generative AI.

An Extensive Hardware and Software Ecosystem

Connect with our extensive ecosystem partners specializing in hardware system design, sensor technologies, commercial OS,  software development, and more.

Cloud-Native Software and Workflow to Save Development Costs

Offer pretrained models, microservices, and reference workflows that streamline application development.

Solutions

Explore Our Robotics and Edge Computing Solutions

Robotics

  • Accelerate robotics with AI—from development to simulation to deployment.
  • Enable key robotic functions: mobility, grasping, and vision.
  • Build robots across industries, including manufacturing, retail, agriculture, logistics, delivery, healthcare, and more.

Edge Computing and AI

  • Bring the power of AI to edge devices and process data at the source.
  • Discover actionable, real-time insights to make better decisions, improve services, and streamline operations.
  • Improve security and reduce costs through local processing.

Vision AI

  • Uncover real-time, actionable insights through streaming video analytics.
  • Quickly transform data from your AI and IoT devices into valuable insights.
  • Bring visual data and AI together to improve efficiency and safety in multiple industries.

News

See the Latest Industry-Shaping Breakthroughs

NVIDIA Announces Omniverse Microservices to Supercharge Physical AI

NVIDIA Omniverse Cloud Sensor RTX generates synthetic data to speed AI development of autonomous vehicles, robotic arms, mobile robots, humanoids, and smart spaces.

NVIDIA Advances Physical AI at CVPR With the Largest Indoor Synthetic Dataset

For the annual AI City Challenge at CVPR, hundreds of teams from around the world tested their AI models on physically based datasets generated with NVIDIA Omniverse.

Industry Leaders Adopt NVIDIA Robotics for AI-Powered Robots

Innovators in robot development are using the NVIDIA Isaac robotics platform for the research, development, and production of next-generation AI-enabled autonomous machines and robots.

NVIDIA Enables Real-Time Healthcare, Industrial and Scientific AI at the Edge

Medtronic, SETI Institute, manufacturing leaders, and other innovators are building NVIDIA IGX systems to supercharge AI at the industrial edge.

Next Steps

Stay up to date on the latest robotics news from NVIDIA.