feat(issue5): KV Cache store-vs-recompute bandwidth critical value model - #19
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feat(issue5): KV Cache store-vs-recompute bandwidth critical value model#19xyaohubery wants to merge 1 commit into
xyaohubery wants to merge 1 commit into
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Analytical model for determining when loading KV Cache from remote storage beats recomputing from scratch in LLM inference prefill. Includes: - Bandwidth critical value (B_crit) derivation from break-even analysis - TCP vs RDMA comparison with QPM estimates - Parameter sweep across hit rates (10%-90%) and context lengths (8K-256K) - Decision matrix for store-vs-recompute across configurations Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
Analytical model for the KV Cache bandwidth critical value problem, addressing Issue #5.
Key Finding
For a 128K context with 30% hit rate:
The Model
When actual bandwidth > B_crit, store-and-load wins. Otherwise recompute.
Usage
🤖 Generated with Claude Code