Built for Production AI at Scale

Founded in San Jose, CA, Inferex was built by engineers who ran inference at Google, NVIDIA, and OpenAI — and couldn't find a tool fast enough.

Our Story

In 2022, a group of infrastructure engineers from Google, NVIDIA, and OpenAI sat around a whiteboard with the same problem: production AI inference was brutally slow, brutally expensive, and brutally hard to scale. Every solution required re-architecting the stack.

So they built Inferex — a hardware-agnostic inference optimization layer that slots into any pipeline. No rewrites. No migrations. Just dramatically faster, cheaper, and more reliable inference.

Today, Inferex powers inference for 45+ enterprise customers across cloud, on-premise, and edge environments. We've served over 12 billion inferences and counting — with average P99 latency under 8ms.

Headquartered in San Jose, CA. Founded 2022. Still obsessed with the same problem.

Our Values

The principles that guide every line of code and every customer conversation.

Speed First

Every millisecond matters in production. We obsess over latency at every level of the stack, from kernel scheduling to network routing.

Reliability Always

Our 99.99% uptime SLA isn't marketing — it's a commitment backed by redundant infrastructure and 24/7 on-call engineering.

Developer Obsessed

We build for the engineers deploying models, not for slides. Our API docs are written by engineers who use them every day.

From Our CEO

"We built Inferex because we kept watching brilliant teams ship models that were too slow to matter. The model quality was there — the infrastructure wasn't. We fixed that. Now the only bottleneck is your imagination."

James Liu

CEO & Co-Founder, Inferex