Modular launches LLM Inference Handbook, a free one-stop reference for inference engineering
techNmak · x · 2026-10-17
techNmak shared the LLM Inference Handbook from Modular, a free reference for engineers deploying, scaling, and operating LLMs in production.
- Coverage: core vocabulary (prefill, decode, KV cache, TTFT, tokens/s), performance metrics, optimization techniques (continuous batching, prefix caching, prefill-decode disaggregation), GPU architecture, and deployment patterns like BYOC and on-prem
- Highlights: interactive calculators, simulators, and visual tools; explains why goodput matters more than raw throughput for meeting SLOs
- Motivation: inference knowledge is fragmented across papers, vendor blogs, GitHub issues, and Discord threads — this pulls it together
- Any URL can be read as Markdown by appending .md; continuously updated
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