Build and deploy scalable AI agents with NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands Agents
Machine Learning Blog
This article demonstrates building and deploying scalable AI agents using Strands Agents, Amazon Bedrock AgentCore, and NVIDIA NeMo Agent Toolkit.
- Strands Agents framework simplifies development with foundation models, tools, and prompts
- Amazon Bedrock AgentCore provides managed runtime, memory, gateway, identity, and observability services
- NVIDIA NeMo Agent Toolkit profiles, evaluates, and optimizes agent performance across frameworks
- Automated hyperparameter optimization achieved 35% accuracy improvement and 20% token efficiency gains
- GPU sizing calculator predicts infrastructure requirements for target concurrency and latency SLOs
- Containerized agents deploy to serverless Bedrock AgentCore Runtime with integrated observability
- End-to-end workflow moves agents from development through production with performance visibility
The integrated solution enables developers to build, evaluate, optimize, and deploy production-ready AI agents on AWS with predictable performance outcomes.
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