At GTC, NVIDIA announces a number of product updates to broaden the use of robots.
GPU market leader NVIDIA is holding its virtual GPU Technology Conference (GTC). Over the years, GTC has evolved from a graphics and gaming show to an industry event dedicated to all things artificial intelligence (AI).
One of the major use cases for AI and NVIDIA technology is in the area of robotics. This includes the entire lifecycle of robot development including training, simulation, building, deployment and management.
NVIDIA’s Isaac robotics platform is accelerating the way intelligent robots are developed, deployed, and managed. The end-to-end solution aims to optimize the efficiency of robot fleets across different environments.
At GTC, NVIDIA made several major announcements related to the Isaac robotics platform, which are set to enhance the fields of robotic simulation, synthetic data generation, and more. Here is a recap:
For more information, also see: Top AI Software Isaac Sim on Omniverse Cloud
NVIDIA made its Isaac Sim robotic simulation platform available on Omniverse Cloud for enterprises.
Omniverse Cloud is NVIDIA’s platform-as-a-service (PaaS) offering for compute-intensive workloads, such as synthetic data generation and software validation. By integrating Isaac Sim with Omniverse Cloud, NVIDIA now offers access to its software development kits (SDKs) and tools. Other NVIDIA products like Drive and Universal Scene Description (USD) Composer will also be available on Omniverse Cloud for enterprises.
NVIDIA already offers various options for running Isaac Sim in the cloud. One option is to deploy Isaac Sim containers from the NGC repository—a catalog of AI frameworks—on any cloud service provider, which requires some setup and management by the enterprise. Another option is to use AWS RoboMaker and run a fully managed version of Isaac Sim.
Gerard Andrews, Senior Product Marketing Manager of Robotics at NVIDIA, emphasized the value of cloud computing in robotics, particularly when it comes to scalability of model training: “You’re always going to be training models, updating these models, and will continue to need a methodology to revalidate those models. We believe that type of interaction with the simulator is best done in a cloud infrastructure.”
On a related topic: What is Generative AI?Isaac ROS Enhancements
Isaac robot operating system (ROS) is a collection of GPU-accelerated modules aimed at providing perception AI to the robotics development community.
