Google DeepMind publishes a hands-on guide to scaling LLMs on TPUs and GPUs
mdancho84 · x · 2026-07-27
Google DeepMind releases a detailed guide to scaling LLMs on TPUs and GPUs
The new How to Scale Your Model guide breaks down how large language models behave on real hardware, with a focus on:
- how TPUs and GPUs work internally
- how devices communicate during training and inference
- how to choose parallelism strategies at different scales
- how to estimate training cost, serving memory, and runtime
- how to think about hardware-aware algorithm design
The authors frame scaling as something that can be reasoned about systematically rather than treated as black magic. The guide is aimed at readers with basic LLM and Transformer knowledge, plus some JAX familiarity.
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