Books

The durable layer.

LinkedIn is the question. The book is the reference. The course is the transformation.

Placeholder cover for GPU Engineering: a dragon on a GPU. Guess the cover.

Packt · almost finished

GPU Engineering: AI Inference and System Design

Modern AI workloads don't fail at the prompt, they fail at the systems boundary. This book covers the anatomy of high-throughput inference serving. It starts where traffic hits: concurrency at the gateway versus the engine, multi-tenant isolation, and the divide between the control plane and the data plane. From there it works down to bare metal: interconnect fabric, silicon, compilers, and kernels.

Written for systems architects, infrastructure leads, and platform engineers who have to design the fleet rather than consume an endpoint.

Almost finished. Launch is end of 2026 or early 2027. The Maven course is a compressed version.

Cover of LLMOps: Managing Large Language Models in Production, O'Reilly

O'Reilly · written 2023-2024 · published 2025

LLMOps: Managing Large Language Models in Production

How language models actually get into production: evaluation, serving, cost, and the operational path from a demo to a system. Two years of writing, 2023-2024. Finished in December 2024, published in 2025. In English, now translated into Korean, Japanese, Russian, and Simplified Chinese.

LLMOps on O'Reilly

Cover of What is LLMOps, O'Reilly

O'Reilly · report · written 2023 · published 2024

What is LLMOps

A separate O'Reilly report. The short brief on what LLMOps is, not the production book. Written in 2023, published in 2024.

What is LLMOps on O'Reilly