PagedAttention | PagedAttention Architecture Explained | LLM optimization

PagedAttention | PagedAttention Architecture Explained | LLM optimization

Discover how the PagedAttention architecture transforms large language model (LLM) inference with groundbreaking techniques like dynamic memory allocation, Copy-on-Write mechanisms, and efficient KV caching. Learn how PagedAttention enables real-time processing, reduces memory waste, and powers modern AI systems.

Key topics covered:
1. The PagedAttention architecture.
2. How does PagedAttention improve GPU utilization.
3. The Copy-on-Write mechanism in PagedAttention.
4. How does the block table work in PagedAttention.
5. What specific optimizations does vLLM offer alongside PagedAttention.
6. How does vLLM's continuous batching work in conjunction with PagedAttention.

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