Robotics and Edge Computing Solutions

Advance Next-Generation

Robots and Edge AI Solutions

Overview

Train, Simulate, and Deploy AI with NVIDIA

As physical AI-powered edge systems and infrastructure increasingly automate, they must autonomously perceive, plan, and execute complex tasks—from traffic pattern detection and industrial inspection to autonomous mobile robots in warehouses and logistics.

To develop and deploy the next generation of autonomous AI systems, a new framework is required. This involves training multimodal, generalized AI models for various tasks, then testing and validating these models and their associated software in simulation. Finally, the entire stack is deployed on the physical edge AI system to perform actions in real time. 

NVIDIA’s three computers—for training, simulation, and deployment—are essential for achieving human-like intelligence for autonomous edge solutions.

 

NVIDIA Announces Isaac GR00T for Humanoid Robotics Development

The NVIDIA Isaac GR00T workflows for synthetic data and NVIDIA Cosmos world foundation models supercharge development of general humanoid robots.

NVIDIA Launches Cosmos World Foundation Model Platform for Developing Physical AI

NVIDIA Cosmos™ is a platform comprising state-of-the-art generative world foundation models, advanced tokenizers, guardrails, and an accelerated video processing pipeline built to accelerate the development of physical AI systems such as autonomous vehicles and robots.

Technology

Discover The Technology Behind the Solutions

Robot training icon

Train

NVIDIA DGX is the optimal platform for training large, generalized AI foundation models to perceive and act with the physical world. It delivers the optimal mix of compute, networking, and GPU-optimized frameworks, like NVIDIA NeMo™, deployable using NVIDIA NIM™.

Robot simulation icon

Simulate

NVIDIA OVX enables synthetic data generation, robot learning with NVIDIA Isaac™ Lab, and testing with OpenUSD and Omniverse Cloud Sensor RTX™ assess various scenarios using physically accurate simulations.

Robot deployment icon

Deploy

NVIDIA Jetson™ and IGX give you scalable platforms to deploy your entire robot stack with powerful AI compute, high-speed I/O, and NVIDIA AI software, including NVIDIA Metropolis for vision AI applications.

Solutions

Explore Our Robotics and Edge AI Solutions

AI-enabled Robotics Platform

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 Solutions For Enterprise

Edge 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.
 NVIDIA Metropolis - Video Analytics & Applications

Vision AI

  • Train, build, deploy, and scale vision AI applications from edge to cloud.
  • Unlock valuable insights for many spaces including retail, warehouses, cities, and more.
  • Bring visual data and AI together to improve efficiency and safety in multiple industries.

News

See the Latest Industry-Shaping Breakthroughs

Into the Omniverse: How OpenUSD and Synthetic Data Are Shaping the Future for Humanoid Robots
February 20, 2025
The NVIDIA Isaac GR00T Blueprint for synthetic motion data significantly accelerates the data generation and training of humanoid robots.
Into the Omniverse: OpenUSD Workflows Advance Physical AI for Robotics, Autonomous Vehicles
January 22, 2025
The next frontier of AI is physical AI. Physical AI models can understand instructions and perceive, interact and perform complex actions in the real world to power autonomous machines like robots and self-driving cars.  
NVIDIA Unveils ‘Mega’ Omniverse Blueprint for Building Industrial Robot Fleet Digital Twins
January 07, 2025
According to Gartner, the worldwide end-user spending on all IT products for 2024 was $5 trillion. This industry is built on a computing fabric of electrons, is fully software-defined, accelerated — and now generative AI-enabled. While huge, it’s a fraction of the larger physical industrial market that relies on the movement of atoms. Today’s 10 Read Article

Next Steps

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