Cerebras Inference
Verified May 27, 2026Cerebras Inference runs open-weights models on the Wafer Scale Engine — a single-chip accelerator the size of a dinner plate — rather than clusters of GPUs. The architectural payoff is order-of-magnitude faster token generation: observed tokens-per-second on supported models routinely sits in the 1500–2500 range, with median time-to-first-token under 200ms.
The catalog is intentionally narrow: a curated set of Llama 3.x, Qwen 3, and Mistral models tuned for the WSE rather than an exhaustive open-weights menu. Pricing skews higher per token than commodity GPU hosts, reflecting the latency premium and limited supply.
Best deployed for real-time voice agents, low-latency chat UIs, and agentic loops that make many sequential small calls — workloads where end-to-end latency, not per-token cost, drives the bill.
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