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Free guide on scaling LLMs across TPUs and GPUs

Radar: a free online book that explains TPUs, GPUs and the parallelism used in training and inference of LLMs at large scale, with a focus on cost and memory.

According to the Radar page dated 12 November 2026, this is a free online book titled How to Scale Your Model. It explains how TPUs and GPUs work, how large language models run on real hardware, and how training and inference can be parallelized at large scale. The linked page presents the material as a way to demystify LLM scaling. According to the description, the content covers the hardware and parallelism math behind these processes, which makes it useful for estimating cost and memory.

The item reports no experimental results or new data; it is a pointer to study material. To consult the original, open the linked page from Radar and check the title, authorship and date shown on the site itself before citing it. When using AI to study this material, do not paste customer data, CPF, CNPJ, e-mail addresses or credentials into any tool. At Rota Nacional, personal data detection runs before any model processes the text, applying markers, removal or blocking according to the organization's policy; usage metadata stays in the dashboard, and the raw content is kept only in an AES-256-GCM encrypted audit archive.

Original source: How to Scale Your Model: guia gratuito sobre escalonamento de LLMs em TPUs e GPUs

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