Courses · in production
Courses are coming.
Built like the posts: measured, runnable, no hand-waving. Each course ships with working code, real benchmarks, and exercises against actual inference stacks — not slideware.
KV Cache: The Complete Mental Model
Everything the KV cache touches — memory math, paging, prefix reuse, eviction, and what it all costs — until you can reason about any serving stack from first principles.
LLM Inference Performance Engineering
The deep end: vLLM internals, writing and profiling GPU kernels, quantization trade-offs, and the discipline of measuring serving systems honestly.
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