Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore

This article demonstrates building production-ready generative AI multi-agent systems combining NVIDIA NIM, Amazon Bedrock AgentCore, and Strands Agents for high-performance inference and orchestration.

• Multi-agent campaign review system with parallel persona, validator, and finalizer agents
• NVIDIA NIM provides GPU-accelerated inference via OpenAI-compatible APIs
• Strands Agents framework orchestrates multi-agent workflows with explicit control flow
• Amazon Bedrock AgentCore Runtime manages execution, checkpointing, and scales to thousands of concurrent invocations
• Built-in observability tracks execution paths, latency, token usage, and error rates
• AgentCore Memory enables shared context across agent invocations and multi-turn conversations
• AWS SAM template simplifies deployment with API Gateway integration
• React frontend asynchronously polls for results and displays agent feedback
• Step-by-step deployment guide includes prerequisites, infrastructure setup, and cleanup instructions

This architecture separates inference from orchestration, enabling independent scaling, context persistence, and operational visibility for production AI agent systems.