Red Hat publishes data on agentic AI pipeline slowdowns

Red Hat shared the first in a series of reports measuring performance bottlenecks in AI agent pipelines running on its OpenShift AI platform. Their tests show that adding security features like sandbox isolation increases end-to-end delays by less than 5%, and that GPUs remain underused even with 10 agents running. Most delays happen in the pipeline that manages agent logic, not in the underlying AI hardware.

• Sandbox isolation adds less than 5% to response delays
• Benchmarked up to 10 agents running at once
• GPU hardware far from maxed out in tests
• Most slowdown found in the agentic logic pipeline