Inference provider tiers by Cache-hit rates, using openrouter data

<!-- SC_OFF --><div class="md"><p>doing infrastructure evaluation for inference workloads and running into the same problem everywhere: every platform publishes p50 cold start

<!-- SC_OFF --><div class="md"><p>Running Llama-3-70B with long contexts and hitting HBM limits constantly. 128K context burns approx 40GB just for KV cache — half the H100 gone

&#32; submitted by &#32; <a href="https://www.reddit.com/user/Which-Breadfruit-926"> /u/Which-Breadfruit-926 </a> <br /> <span><a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s5cggh/google_turboquant_blew_up_for_kv_cache_heres/"> <img alt="Google TurboQuant blew up for KV cache.

<!-- SC_OFF --><div class="md"><p>Wrote a deep dive on <strong>FlashAttention-4 (03/05/2026)</strong> that's relevant for anyone thinking about inference performance.</p>

<!-- SC_OFF --><div class="md"><p>Spoke with many providers who lurk in this sub, plus met folks who work in inference.</p> <p>For a 10k monthly revenue, a provider was able to