Inference Engineering

Name: Inference Engineering
Availability: InStock
Author: philipkiely

by philipkiely·Feb 23, 2026·2 points·0 comments

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AI Analysis

●●SolidSolve My ProblemNiche Gem

Comprehensive inference survey from CUDA to Kubernetes, but it's a book not a tool.

Strengths

•Covers the full inference stack from hardware (GPUs, TPUs) through software (vLLM, TensorRT) to techniques (quantization, speculative decoding)
•Written by Baseten founder with direct production experience across real customer deployments
•Free digital download removes friction for engineers entering the inference space

Weaknesses

•No interactive elements, code examples, or hands-on labs—pure reference material
•Narrow audience: only valuable to engineers already working on or studying inference systems

Post Description

There is a ton of demand for inference, but there are relatively few engineers working in the space. This leaves novel, interesting, and deeply technical challenges left to solve at every level of the stack.

To make it easier for more engineers to learn about inference, I wrote a book that provides a survey of the dozens of technologies that work together to make inference possible, along with an introduction to the primary techniques for inference optimization as well as commentary on how those techniques apply across various modalities.

This book is completely free to download digitally, and I'll have print copies with me at various conferences + available to purchase once Amazon decides to approve my account.

I hope you find Inference Engineering useful! Am around to answer any questions.