NVFP Four

topic on 1 show · 2 statements across 2 episodes

2 statements about NVFP Four, every show

LATENT SPACE 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

LATENT SPACE Opinion

Kant: Nvidia's NVFP4 precision format is underrated for AI model execution

“I think NVFP four is, you know, underrated in terms of what it is.”

Eiso Kant Jul 22, 2026 ▶ 1:42:18 The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI

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NVFP Four

2 statements about NVFP Four, every show

Turn any episode into a week of clips.