Expert: Small-Scale Experiments Feasible, But Public 100B+ Training Unlikely
zephyr_z9 · x · 2026-07-31
In a discussion on AI chips, zephyrz9 responds that small-scale data collection experiments are feasible, but we won't see public training of 100B+ parameter models on 950PR.
More from Infra
- OpenAI Models Rumored to Hit 750 Tokens/s on Cerebras by Month-End — kimmonismus · 2026-07-31
- AI Infrastructure Demand Surges: Data Center Orders Double, Supply Chain Strains — a16z Newsletter · 2026-07-31
- NVIDIA Tutorial: Run Your Polars Data Processing Code on the GPU — NVIDIAAI · 2026-07-31
- AI Costs Plummet: 'Intelligence as a Utility' Argument May Collapse — yacineMTB · 2026-07-31
- Prediction: Nvidia's Feynman Series May Split Grace CPU Line for Agent Sandboxes — zephyr_z9 · 2026-07-31
- Paper: HedgeSpec Enables Provably No-Regret Drafter Selection for LLMs — D3VAUX · 2026-07-31