NVIDIA Isaac Sim is now available on Amazon Elastic Cloud Compute (EC2) G6e instances.
At AWS re:Invent, NVIDIA announced the availability of Isaac Sim on Amazon Elastic Cloud Compute (EC2) G6e instances, powered by NVIDIA L40S GPUs and supported by NVIDIA OSMO, a cloud-native orchestration platform. This powerful combination allows developers to seamlessly manage and scale complex robotics workflows across AWS computing infrastructure, bringing state-of-the-art simulation and training capabilities to the cloud.
This collaboration marks a significant step in advancing physical AI, enabling teams of all sizes to innovate in autonomous machines and robotics, such as self-driving cars, industrial robots, humanoids, and automated factory systems. By leveraging NVIDIA’s accelerated hardware and software ecosystem, developers can scale their physical AI workflows with unprecedented speed and efficiency.
Physical AI requires a robust infrastructure to train, simulate, and deploy autonomous systems capable of interacting with the physical world. However, developing real-world datasets and testing robotics systems in physical environments is costly and often impractical. Simulation provides a cost-effective and scalable alternative for developing AI-driven robotics systems.
Together with NVIDIA Omniverse Replicator, Isaac Sim facilitates synthetic data generation for perception model training. Using generative AI tools, developers can create custom datasets for robotics simulations without the manual overhead of traditional approaches. Key features include:
This suite of tools, integrated with the Rendered.ai synthetic data platform, supports industries such as security, manufacturing, and agriculture in creating high-quality datasets for computer vision models.
NVIDIA Isaac Sim and its integrated platforms are driving innovation across diverse industries. Key examples include:
Robotics developers leverage NVIDIA Isaac Sim to simulate, validate, and optimize autonomous systems. Success stories include:
Isaac Lab, an open-source framework, complements Isaac Sim by providing a “virtual playground” for developing robot policies. When paired with AWS Batch, developers can run repeatable simulations to test and troubleshoot robotics systems. This reduces validation cycles and accelerates deployment timelines.
Dion Harris, Global Lead for Simulation and AI at NVIDIA, the impact of these technologies:
“By combining the power of NVIDIA L40S GPUs, Isaac Sim, and OSMO, developers now have the tools to build scalable, efficient, and innovative robotics solutions in the cloud. This marks a new era in physical AI, enabling seamless integration between simulation and real-world applications.”
NVIDIA’s advancements in cloud-based simulation and robotics workflows equip developers to address complex challenges in robotics and AI. By leveraging AWS infrastructure, L40S GPUs, and Isaac Sim’s capabilities, organizations can achieve breakthroughs in physical AI development, setting the stage for transformative growth in autonomous systems and their applications.
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