AWS HPC Blog
Author: Abhishek Srivastav
Abhishek Srivastav is a Principal Solutions Architect at Amazon Web Services, where he drives customer success through accelerated cloud adoption strategies. With deep technical expertise spanning AI/ML technologies, High Performance Compute, Simulation, and Physical AI, he specializes in architecting solutions for complex enterprise challenges. In his current role, Abhishek collaborates with CIOs, CTOs, and other technology executives to develop comprehensive roadmaps for Digital Transformation and Generative AI initiatives.
Running NVIDIA Cosmos world foundation models on AWS
Running NVIDIA Cosmos world foundation models on AWS provides powerful physical AI capabilities at scale. This blog covers two production-ready architectures, each optimized for different organizational needs and constraints.
Scale Reinforcement Learning with AWS Batch Multi-Node Parallel Jobs
Autonomous robots are increasingly used across industries, from warehouses to space exploration. While developing these robots requires complex simulation and reinforcement learning (RL), setting up training environments can be challenging and time-consuming. AWS Batch multi-node parallel (MNP) infrastructure, combined with NVIDIA Isaac Lab, offers a solution by providing scalable, cost-effective robot training capabilities for sophisticated behaviors and complex tasks.