>An 82 GB footprint in DDR3 on a 2016 Xeon. About 25 GB of weights and 56 GB of KV cache at the full 262K context. The KV cache is larger than the model.
262k tokens is not much at all. with ~5 characters per token, that's only 1.3 MB of plaintext.
>An 82 GB footprint in DDR3 on a 2016 Xeon. About 25 GB of weights and 56 GB of KV cache at the full 262K context. The KV cache is larger than the model.
262k tokens is not much at all. with ~5 characters per token, that's only 1.3 MB of plaintext.
> LMCache extends the KV Cache from the NVIDIA GPU's fast HBM (Tier 1) to larger, more cost-effective tiers like CPU RAM and local SSDs.
https://cloud.google.com/blog/topics/developers-practitioner...
have things changed around this recently? I know openai optionally allows 24 hours but thought it was ~1h without that, and anthropic used to quote 5-15 minutes or something.
The #1 was to make Claude code token quota go further is to never let the 5 minute cache TTL expire. Either send a new request within the window, or use /clear and copy/paste, or use /clear and a framework that automatically generates session state that gets replayed from files after /clear.
suggests the can cache outside the gpu.