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GB 300

2 statements across 2 episodes · 1 bullish · 0 bearish · 2 people on the record · first statement Jul 22, 2026 by Eiso Kant · across every show →

Everything said about GB 300, oldest first

Jul 22, 2026 bullish
Assertion Not checkable as stated
Kant: Nvidia GB300 allows models to jump from 1T to 6T parameters
“The difference of a model you could train on hoppers versus GB 300 is the difference in a trillion parameter model and a five or six trillion parameter model.”
Eiso Kant Jul 22, 2026 ▶ 1:36:46 The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
Aug 3, 2026
Assertion Supported
Fitting a 2.8-trillion parameter model on one node requires eight GB300s
“You need GB 300 to fit it on a single node. It's simple math. NVFP four, 2.8 trillion parameters 1.4 terabytes. The GB 300 have 288 gigabytes each. So across eight of those you have enough room For the model”
Philip Kiely Aug 3, 2026 ▶ 1:11:37 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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