Pliops and vLLM: Smarter KV Caching for LLM Inference

Optimize LLM inference with Pliops and vLLM. Enhance performance, reduce costs, and scale AI workloads with KV cache acceleration.

Pliops has announced a strategic partnership with the vLLM Production Stack, an open-source, cluster-wide reference implementation designed to optimize large language model (LLM) inference workloads. This partnership is pivotal as the AI community prepares to gather at the GTC 2025 conference. By combining Pliops’ advanced key-value (KV) storage backend with the robust architecture of the vLLM Production Stack, the collaboration sets a new benchmark for AI performance, efficiency, and scalability.