Making software fast and keeping it fast under load. Profiling, caching strategies, database tuning, and frontend performance measured in real numbers. Learn to find bottlenecks, set budgets, and scale horizontally without burning money.
A hardware-aware framework for deciding between 4-bit and 8-bit serving precision: the highest-ROI format per GPU generation, the weight-versus-KV-cache split, small-model safety margins, checkpoint provenance, and the H100/H200/B200 selection tree.
Benchmark numbers and architectural breakdown of vLLM versus Ollama on 128GB unified-memory workstations, explaining the throughput and latency gap through PagedAttention versus llama.cpp's memory model.
A side-by-side comparison of Caveman output compression, provider prompt caching, and tiered model routing — with concrete per-million-token math and a recommended stack order.