ArtificialIntelligence.io

The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

arXiv cs.LGPaper

When the KV Cache Is Slower Than the GPU: Scaling Remote KV Tiers for Context-Parallel Prefill

This is infrastructure troubleshooting with real teeth. A remote KV cache sounds efficient but the paper shows it can wreck p99 latency: 17.3s instead of 3.96s. The cost model (hit pays off only above B* = sR threshold, plus fixed per-hit engine cost) gives operators a way to decide when remote tiers make sense. If you're scaling long-context serving across multiple engines, this reframes the cache strategy conversation.