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THE INFERENCE ENGINEER’S BOOKSHELF

Keep the reasoning.
Take it with you.

Five detailed references for the decisions between a model checkpoint and a reliable stream of tokens. Worked calculations, technical drawings and source notes, ready to read away from a browser.

5 reference booksPDF · searchable text · linked contentsOctober 2026 editions
01 / 66 pages

Open Weights, Serving Decisions

Compare model families through weight residency, attention state, numerical formats and deployment requirements. Includes a dated review of recent open-weight releases.

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02 / 64 pages

Accelerators for Token Serving

A hardware reference organized around serving decisions: memory per rank, interconnect limits, software support and useful throughput under a latency target.

Free with an account
03 / 106 pages

The Kubernetes Inference Runtime

Follow cache-aware routing, prefill and decode pools, multi-node workers and rollouts through a Kubernetes serving graph, with worked capacity and failure cases.

Premium PDF
04 / 117 pages

Operating the Token Path

An operating manual for engine configuration, latency clocks, memory limits, profiling, observability and incident recovery. Includes a CPU analysis companion.

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05 / 77 pages

The Inference Engineer’s Lexicon

A linked reference from GPU execution and memory traffic to distributed decoding and service metrics. Worked cases expose the distinctions that matter in inference reviews.

Premium PDF
A SHORTER START

The original inference field guide

Eight pages of serving decisions and worked calculations. Read the online edition with Premium, or download it with eligible PDF access.

Open the compact field guide →
READ WITH THE WORKLOAD IN VIEW

Check the edition, then test the assumption.

Each book states its source review dates. Specifications and engine behavior can change. Worked examples explain the arithmetic; the books do not claim new GPU benchmarks.

Work through the inference lab →