# Build a multi-agent music production pipeline on Amazon Bedrock AgentCore Runtime Instances

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/build-a-multi-agent-music-production-pipeline-on-amazon-bedrock-agentcore-runtime
> **Original Source**: [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/build-a-multi-agent-music-production-pipeline-on-amazon-bedrock-agentcore-runtime-instances/)
> **Author**: Evandro Franco (undefined)
> **Published Date**: Wednesday, September 30, 2026
> **Category**: CULTURE
> **Tags**: AI, AWS ML Blog, culture

## Executive Summary
Amazon Bedrock AgentCore Runtime Instances gives multi-agent workflows AWS managed EC2 infrastructure with GPUs, persistent volumes, and multi-day sessions.



## Full Coverage
As organizations move from single-purpose agents to multi-agent systems, the infrastructure requirements change. A lone agent handling customer queries can run in a serverless environment with short-lived sessions. But when you need three agents collaborating on a creative workflow that spans several days, sharing context and building on each other's output, serverless sessions that cap at a few hours don't cut it

In this post, we walk through deploying a music production pipeline: One agent runs a generative audio model on the instance's own GPU. The other two open the .wav file it wrote, off a shared volume. By the end, you will have a track you can play. You will also have learned how to create capacity providers, deploy agents from different artifact types, orchestrate agent-to-agent collaboration using shared sessions, and persist workflows across multiple days

Amazon Bedrock AgentCore offers two compute options for hosting agents. MicroVMs are the serverless option: fast cold starts, session isolation, and consumption-based pricing. Runtime Instances are the new option: AWS managed EC2 infrastructure for persistent, long-running agent workflows. Both use the same runtime APIs, but Instances add multi-day sessions, GPUs, persistent volumes, and the ability to colocate multiple agents on a single instance

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