Open book covers 12 chapters on AI infrastructure
Published on September 13, 2026, the book covers model architectures, accelerators, inference, and training. Its scope can help companies identify concrete infrastructure challenges.
Source: Livro aberto aborda infraestrutura de IA e design de sistemas (github.com). Text prepared with AI from this source.
What happened and what to do
Published on September 13, 2026, the open book contains 12 chapters on AI infrastructure. It spans model architectures and accelerators, inference optimization and distribution, training systems, and resource scaling. The work includes the complete manuscript, a PDF, tools, and experiments, and is presented as a reference for engineers working on LLM inference and training systems.
A company can use these topics to assess bottlenecks and plan its infrastructure: measure inference workloads and costs, evaluate private deployment options, and set resource-scaling policies. The right response depends on the models, available capacity, and performance and security requirements.
How the consultancy can help
Wendelmaques can diagnose a company’s infrastructure and workloads, define a scoped implementation proposal, and support operation of monitoring, inference, and resource-scaling systems.
Next step
Send a short description of your inference or training setup to receive a scoped proposal.
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I reply with scope and a proposal.