AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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OLED-MoE is proposed, an expert offloading system that uses confidence-guided inter-iteration prediction to retain high-value experts in GPU memory without introducing extra prefetch traffic and compensates unavoidable cache misses through CPU-GPU cooperative execution.
PatchKV, a profile-guided recovery system for suffix-preserving revisions, decomposes adjacent context versions into an exact prefix, an updated span, and an aligned suffix, and achieves a speedup in mean resume time-to-first-token over full suffix recomputation.
System is presented, a reference-aware codec that retrieves exact-token historical spans for prefill uplinks, reuses the reconstructed uplink state for same-round prefill downlinks, and generates boundary-specific decode references with lightweight causal predictors.
This work presents AsymSpec, which addresses uplink-gated verification and invalid dependent work with two corresponding mechanisms, and shows that AsymSpec delivers 2.82-28.03$\times the output-token throughput of the strongest baseline.
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