🚀HardInference OptimizationPREMIUM

Scaling LLM Inference

Deep dive into LLM inference optimization: KV-cache management, continuous batching, PagedAttention, and speculative decoding.

What you'll master

Prefill vs decode phases

KV-cache memory management

Static vs continuous batching

PagedAttention and vLLM

Speculative decoding

Memory-bandwidth bottleneck

Hard35 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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