Agents Are Computing the Same Thing Billions of Times—Here's How to Stop It

This research exposes a critical inefficiency in LLM deployment: billions of agents redundantly re-computing identical documents, wasting massive compute resources globally. The proposed KV cache marketplace could achieve up to 50x compute savings by allowing publishers to precompute and share document caches, fundamentally reshaping the economics of LLM inference and enabling a new CDN-like service layer for AI workloads.