AgentCore Runtime Instances: GPU Colocation and Persistent State for Multi-Agent Workflows
AWS just published a detailed walkthrough of AgentCore Runtime Instances, showing how they deploy multi-agent workflows on persistent GPU infrastructure. The example is a three-agent music production pipeline where agents colocate on one EC2 instance, share a filesystem, and hand work to each other over multiple days. This is not about payment authorization or spending limits (covered in previous…
AWS has introduced AgentCore Runtime Instances, which enable multi-agent workflows to run on persistent GPU infrastructure. This is demonstrated through a three-agent music production pipeline where agents share a GPU, filesystem, and communicate over multiple days without cold start latency or GPU waste. The runtime plumbing involves persistent EBS volume mounted at /mnt/workspace for shared filesystem, GPU colocation for multiple agents, and multi-day session support.
The trade-off is cost, as you pay for the instance even when agents are idle, but for frequently run workflows or low-latency handoffs, this approach is more cost-effective than cold-start overhead. The example pipeline consists of Composer, Arranger, and Mixing agents, all running on a g5.xlarge instance with one NVIDIA A10G GPU.
Agents share a session directory on the EBS volume, passing the session ID to each other, and do not rely on S3 or databases for coordination.
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