NVIDIA and AWS describe how to run a continuous Physical AI “model factory” pipeline using NVIDIA Cosmos 3 on Amazon SageMaker HyperPod, moving through synthetic-data generation, post-training, and closed-loop evaluation on a single shared cluster and storage setup. Cosmos 3-Super is a 64B-parameter model that can be post-trained into a deployable policy. The workload no longer requires separate GPU pools per pipeline stage because the same persistent node pool under one control plane time-shares generation, training, and evaluation for better GPU goodput across the whole loop.
InstantStart lets an AI agent run multi-stage Amazon SageMaker HyperPod cluster setup by driving the same control-plane APIs behind the web console and terminal workflows. EKS control-plane creation takes about 8–12 minutes before dependency installation and HyperPod cluster creation proceed. As a result, long-running steps become retryable, the agent asks only decision inputs (like zone and instance details), and it returns a verified running cluster with storage mounted instead of a pending request.
Amazon Bedrock was integrated with Amazon Textract to let teams preprocess utility bills and query them instead of feeding raw documents directly into a RAG system. The setup deploys an AWS CloudFormation stack via bash custom_kb_deployment_setup.sh that creates 2 Lambda functions and an OpenSearch Serverless cluster. The pipeline now automatically converts uploaded multi-format files into a knowledge base format for more reliable LLM answers, with post-deployment configuration steps including syncing an Amazon Bedrock Knowledge Base and testing with an Amazon Nova Micro model.
Intuit built an agentic disaster recovery assistant, EWOK Agent, on top of its internal EWOK disaster recovery system using Amazon Bedrock. The assistant has been used to run failovers for eight months and reduced recovery times to about 20 minutes for supported workloads. Failover requests that previously required runbook lookups and engineer coordination are now validated and executed through a managed AI reasoning layer plus deterministic EWOK actions, returning an execution ID and status to engineers.
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