2026
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
ICML 2026poster
Large language models (LLMs) with extended context windows enable powerful applications but impose significant memory overhead, as caching all key–value (KV) states scales linearly with sequence length and batch size. Existing cache eviction methods address this by exploiting attention sparsity, yet…