The race for fast token generation has moved from benchmark sheets into production data centers, and the hardware blueprint for winning it is no longer a GPU-only story.
As agentic AI use cases multiply and users demand real-time interactivity, inference infrastructure is being redesigned from the rack up. The divide between compute-heavy prefill and latency-sensitive decode is forcing a new class of purpose-built accelerators into the picture, according to Sid Sheth (pictured, right), co-founder, president and chief executive officer of d-Matrix Corp.
