How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM aws.amazon.com Post date August 13, 2025 No Comments on How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM Related External Tags Amazon EC2, Amazon Elastic Container Service, architecture, AWS Trainium, Customer Solutions ← Build an intelligent financial analysis agent with LangGraph and Strands Agents → PwC and AWS Build Responsible AI with Automated Reasoning on Amazon Bedrock Leave a ReplyCancel reply This site uses Akismet to reduce spam. Learn how your comment data is processed.
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