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AWS introduced AgentCore Runtime Instances, a managed EC2-based compute layer with GPUs, persistent volumes and multi-day sessions that lets multiple AI agents run on a single instance to complete long-running production tasks such as generating a full music track.

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AWS Launches AgentCore Runtime Instances for Multi-Agent Workflows on Bedrock

What's new?

FAQ

What are AgentCore Runtime Instances in Amazon Bedrock?

They are AWS-managed compute instances built on EC2 that include GPUs, persistent volumes and multi-day sessions, designed to run multi-agent workflows inside Amazon Bedrock AgentCore.

How do they differ from running agents on Lambda or plain containers?

According to the source, Runtime Instances offer longer sessions, GPUs and persistent volumes that let agents run on the same instance and share a filesystem, capabilities that short-lived environments like Lambda do not provide.

Are they useful for teams in the Middle East?

Yes. Regional organizations building agents for long tasks such as media analysis or creative production pipelines can use the managed layer to reduce operational overhead, while checking service availability in nearby AWS regions.

Source: AWS Machine Learning

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