DeepSeek Achieves 98% Cache Hit Rate, Turning AI Inference into 'Energy Recovery'

Last week we were debugging an in-car voice assistant. Every wake-up required reloading the context, causing cold start latency to hit over 2 seconds. Users straight up cursed, saying "this car system is like a senior phone." We tried pre-warming the cache, which dropped latency to 400ms, but the cost was doubled power consumption, triggering battery life warnings again. I started wondering if there's a way to avoid full recomputation while still high-probability reusing previous results. Just saw DeepSeek-V4-Flash's 98% cache hit rate, and my brain immediately went—"if this could fit into a car system, the latency issues for voice interaction would be completely solved."