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Chapter 13

Conclusion

Summary of contributions and key takeaways.

Memory Expansion
User Capacity
95%
HBM Hit Rate
36%
Cost Reduction

Final Summary

Figures 13.1-13.3 — Conclusion & Key Takeaways Open Full Screen ↗

Key Contributions

1. Distributed Endpoint Architecture

CXL 3.0 computational storage endpoints with controller-resident intelligence for autonomous cache management.

2. Intelligent KV-Cache Management

Per-head importance tracking, EMA-based scoring, and RoPE-aware prefetching achieving 95% HBM hit rate.

3. 65× Latency Improvement

CXL.mem load/store semantics eliminate CPU interrupt handling for 250 ns vs 16 μs access.

4. Economic Impact

36% infrastructure cost reduction, 8× more concurrent users per GPU, enabling profitable long-context serving.