🚀HardInference OptimizationPREMIUM

KV Cache & PagedAttention

Understand KV cache storage strategies for multi-tenant LLM inference, including PagedAttention, memory fragmentation mitigation, and vLLM architecture.

What you'll master

KV cache role in autoregressive generation

Memory fragmentation in multi-tenant batching

PagedAttention block allocation

Prefill vs decode phase scheduling

Continuous batching vs static batching

Copy-on-write mechanism

RadixAttention & Prefix Caching

Tensor/pipeline parallelism for serving

Hard30 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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