Open book surveys AI infrastructure in 12 chapters
Published on September 13, 2026, the book covers model architectures, accelerators, inference optimization and distribution, training systems, and resource scheduling.
An open book in 12 chapters covers AI infrastructure and systems design, from model architectures and accelerators to inference optimization, distributed inference, training systems, and resource scheduling. The release includes the complete manuscript, a PDF, tools, and experiments. It is dated September 13, 2026.
The book is presented as a broad reference for engineers working on LLM inference and training systems. To verify its scope and materials, consult the complete manuscript, PDF, and associated tools and experiments; compare claims with the chapters and results presented. If you use AI to study or apply the material, protect organizational data under your team’s policy and do not enter confidential information without authorization.