ASIC
AssessTechniques
Application-specific integrated circuit optimized for a narrow workload or model.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research breakthroughs, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 8The New Stack·7/20/2026breakthroughGoogle reportedly builds Gemini-specific inference chip
Google is reportedly developing an unannounced chip, codenamed Frozen v2, that would hardwire parts of the Gemini model’s architecture while keeping its weights updatable. The goal is to cut inference costs and power use, with internal estimates suggesting major gains in tokens per watt over current Google AI chips. The move reflects a broader industry shift toward model-specific silicon for AI inference.