Huawei releases KVarN for quantizing LLM key-value caches in vLLM

KVarN is a native vLLM backend that reduces memory overhead by quantizing key-value caches during inference. For indie makers running open-source LLMs, this means cheaper inference costs and the ability to serve larger models on constrained hardware—useful if you're bootstrapping an AI product on a budget.