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ML Systems Desk
Updated 2026-08-21
Engineering analysis of distributed inference infrastructure, KV-cache memory optimization, post-training quantization, and high-throughput LLM serving runtimes.
Platform Architecture
Production Inference Architecture: Latency, Speculative Decoding, and Quantization Tradeoffs at Scale
A deep systems engineering analysis of high-throughput LLM serving, covering memory-bandwidth bottlenecks, speculative decoding verification dynamics, and FP8/INT4 quantization.