TL;DR: An independent Broadcom benchmark measured the Envoy AI Gateway adding roughly 2 milliseconds of latency, about 0.01%, under realistic enterprise LLM traffic, according to Tetrate, with the throughput ceiling driven by GPU compute rather than the proxy. That matters because AI gateways can enforce routing, security, rate limits, and cost controls without becoming the user-visible bottleneck.
Editorial analysis by NHI Mgmt Group, based on content published by Tetrate: “Envoy AI Gateway Latency: Benchmarking Tetrate Agent Router Enterprise's Data Plane”.
By the numbers:
- An independent Broadcom benchmark measured approximately 2 milliseconds of gateway overhead, roughly 0.01%, under realistic enterprise LLM traffic.
- The benchmark measured time-to-first-token at 0.103 seconds during a three-hour endurance run at 190 concurrent users.
Key questions
Q: How should teams benchmark an AI gateway before production rollout?
A: Use realistic LLM traffic patterns, including streaming responses, bursty agent calls, and high-cardinality sessions.
Q: Why does an AI gateway become a security issue when latency rises under load?
A: Because slow enforcement stops being effective enforcement.
Q: What do security teams get wrong about AI gateway deployment?
A: They assume visibility alone equals control.
Practitioner guidance
- Benchmark on real streaming traffic Measure latency using long-lived LLM responses, bursty agentic calls, and high-cardinality sessions so the gateway's true overhead is visible under production-like load.
- Separate gateway latency from model latency Track upstream model time, downstream client experience, and proxy overhead as distinct metrics so the compute backend is not mistaken for a gateway problem.
- Align worker concurrency with container CPU limits Set the proxy --concurrency flag to match allocated CPU so Linux scheduler throttling does not create artificial multi-second spikes.
Bottom line: AI gateway performance should be judged as part of the identity and policy plane, not as a separate networking concern.
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