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NVIDIA Advances Physical AI With Accelerated Robotics Simulation on AWS
- NVIDIA Isaac Sim on Amazon Web Services is being used by robotics start-ups Field AI, Vention and Cobot to develop physical AI-driven robots, such as self-driving cars and humanoid robots.
- AWS announced that Isaac Sim is now available on Amazon Elastic Cloud Computing G6e instances that use NVIDIA L40S GPUs, to test AI-driven robots in virtual environments.
- The combination of NVIDIA-accelerated hardware and software on the cloud allow teams of any size to scale their physical AI workflows.
- Developers are currently using three computers for training, simulation and inference to make progress with physical AI systems, though it's costly to test datasets in the real world.
- Simulation can significantly accelerate the training, testing, and deployment of AI-driven robots, and Amazon EC2 G6e instances using NVIDIA L40S GPUs can help.
- The instances accelerate the tech with a 2x performance gain over the previous architecture, shareable across various tasks from data generation to simulation to model training.
- Isaac Sim has gained an open-source robot learning framework called Isaac Lab, which provides a virtual training ground for building robot policies that can run on AWS Batch.
- Cobot is using Isaac Sim and its AI-powered assistant, Proxie, to optimize logistics in warehouses and other environments.
- Field AI is using Isaac Sim and Isaac Lab to evaluate where its robot foundation models are most likely to be adopted across industries such as construction, manufacturing, oil and gas or mining.
- Vention is harnessing Isaac Sim for developing and testing new capabilities for robot cells used by small- to medium-sized manufacturers.
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