DeepMind releases book on scaling LLMs on TPUs, demystifying performance optimization
TheZachMueller · x · 2026-08-24
Google DeepMind has released a new online book titled "How To Scale Your Model," which provides a systems-level view of running Large Language Models on TPUs. The text aims to demystify the science behind scaling models, covering hardware operations, inter-device communication, and parallelization strategies.
Key topics include:
- Performance Analysis: Using Roofline models to gauge how close model components are to theoretical optima.
- Parallelism Schemes: Guidance on choosing between data, tensor, and pipeline parallelism at different scales.
- Cost Estimation: Methods to estimate the memory, time, and financial costs of training and serving models.
- Co-design: Designing algorithms for specific hardware constraints and vice versa.
The book assumes a basic understanding of LLMs and JAX, targeting engineers looking to optimize performance at massive scale.
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