ASIC

4 statements across 3 episodes · 2 bullish · 0 bearish · 3 people on the record · first statement Nov 3, 2025 by Quentin Anthony · across every show →

Everything said about ASIC, oldest first

Nov 3, 2025 positive
Opinion
Hyperscalers with fixed architectures should build custom AI inference ASICs
“If I was sort of in house, maybe XAI is a good example of this, or Microsoft is another one where they kind of know the model architecture a priori then they absolutely should make an ASIC that is custom designed for that model architecture that they're curren…”
Quentin Anthony Nov 3, 2025 ▶ 21:27 How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
Nov 3, 2025 neutral
Prediction Not checkable as stated
AI labs will increasingly co-design models alongside proprietary custom inference ASICs
“I definitely think things are moving towards you design a model. It's sized the way that fits well on hardware that you can design. You immediately start creating an inference hardware that is custom made to fit the sizes of your model. And then you can also s…”
Quentin Anthony Nov 3, 2025 ▶ 23:02 How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
Jun 3, 2026
Assertion Contradicted
Haneke: ASIC verification takes 3 to 4 times more resources than design
“My understanding is that the industry standard for design to verification in ASIC ASIC project is like one to three, one to four.”
RJ Haneke Jun 3, 2026 ▶ 47:52 Scaling Past Informal AI - Carina Hong, Axiom Math
Aug 3, 2026 bullish
Insight
Custom $50B ASICs become economically rational for $500B AI training runs
“If you have a trillion dollar or five hundred billion dollar training run, then take fifty billion of that and make an ASIC. Like, it's fine. Like you will get more than 10% efficiency from the ASIC. And like, that makes sense.”
Shawn Wang Aug 3, 2026 ▶ 1:06:55 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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