AI Inference

This is called Speculative Decoding

Gaurav Sen explains speculative decoding, the technique Google published in 2022 to make large language models answer 2 to 3 times faster with the same output: a small model drafts several tokens, the large model verifies the draft's prefixes in parallel, and the method now serves production traffic at Google and DeepSeek.

Tutorial · AI Inference · Large Language Models · Machine Learning

How we deploy trillion-parameter frontier models on Cerebras

Sarah Chieng explains how Cerebras splits a frontier model too large for one 44 GB WSE-3T wafer across many wafers, using the ~3T-parameter open model Kimi K3 as the example: fitting weights and request state in on-chip memory, mapping layers across chips as a pipeline, and serving many concurrent requests at 1000-2000+ tokens per second.

Blog post · AI Inference · AI Hardware · Large Language Models · Distributed Systems