75GB Wasted on 100 Users: Paged Attention's Brutal Fix for LLM Memory Hogging
100 concurrent chatbot requests. 75 gigabytes of GPU memory—gone, wasted. Paged Attention torches that nonsense.
⚡ Key Takeaways
- Naive KV cache wastes 75GB on 100 users—24% utilization.
- Paged Attention uses OS-style paging for 90%+ efficiency.
- Copy-on-write sharing doubles wins for batch prompts.
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Originally reported by MarkTechPost
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