Google DeepMind Releases 'How to Scale Your Model': A Systems View of LLMs on TPUs
mdancho84 · x · 2026-08-14
Matt Dancho shares Google DeepMind's 'How to Scale Your Model' guide, which explains how LLMs run on TPUs and GPUs, parallelism strategies, and cost estimation from a systems perspective.
Related event: Google Releases Free GPU Masterclass and Model Scaling Guide(2 posts)→
More from Infra
- Tencent squeezes 770B-parameter Hunyuan Hy4 Preview into 214 GiB at ~2.38 bits per weight — coolmum18 · 2026-10-16
- TokenSpeed MLA 2 hits NVIDIA Vera Rubin: up to 3.44x faster decode vs B200 — zhyncs42 · 2026-10-16
- US vs Chinese hyperscalers: Americans fund and schmooze, Chinese demand your BoM and cap you at 7% margin — jwt0625 · 2026-10-16
- How LiteLLM routes one OpenAI-shaped API across every model provider — Mahmoud_Zalt · 2026-10-16
- OpenAI-Broadcom custom AI chip Jalapeño named a TIME Best Invention of 2026 — itsclivetime · 2026-10-16
- Developer live-runs continual pretraining of a Luganda LLM on Colab, 41% done with loss dropping fast — weskambale · 2026-10-16