AWS on Thursday said that it was upgrading the runtime layer of Amazon Bedrock AgentCore with greater compute capacity, more efficient memory utilization, and faster startup times to help enterprises deploy and scale AI agents more quickly and cost-effectively.
The greater compute capacity includes support for up to four times more compute than the previous version, with each session now supporting up to eight virtual CPUs (vCPUs) and 32GB of memory, the hyperscaler said in a statement.
In addition, the runtime supports container images of up to 10GB, it further said, adding that these upgrades will allow developers to run more demanding agent workloads, including large codebase compilations, browser-driven workflows, and local model inference.
