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ASIC

Assess

Techniques

Application-specific integrated circuit optimized for a narrow workload or model.

Why it's here

Placed in Assess: 2 article(s) of evidence from 2 source(s), led by research breakthroughs, with 0 in the last 30 days. Confidence 40%.

Evidence (2)

  • 7Hacker News·8/20/2026research
    Waymo details its custom onboard compute stack for autonomous driving

    Waymo published a technical overview of the compute system that powers the Waymo Driver, emphasizing deterministic low-latency processing, ruggedized hardware, and built-in redundancy for fully autonomous operation. The post highlights its shift from off-the-shelf components to a heterogeneous stack with custom silicon, including a purpose-built 5nm ASIC for real-time sensor processing and neural network inference.

  • 8The New Stack·7/20/2026breakthrough
    Google 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.