Published onMarch 15, 2026LLM Inference Optimization — Quantization, Speculative Decoding, and KV CacheinferenceoptimizationllmperformanceOptimize LLM inference speed by 10×. Master quantization tradeoffs, speculative decoding, KV cache management, flash attention, and batching strategies.
Published onMarch 15, 2026Self-Hosting LLMs With vLLM — Running Open-Source Models in Productionllminferenceself-hostingoptimizationDeploy open-source LLMs at scale with vLLM. Compare frameworks, optimize GPU memory, quantize models, and run cost-effective inference in production.