MemStitch Enables Zero-Copy Context Bridging for vLLM, Claiming 25× Faster Time‑to‑First‑Token

MemStitch is an open‑source tool aimed at improving vLLM performance. It introduces zero‑copy context bridging to reduce data movement overhead. The technique claims a 25× speedup in time‑to‑first‑token (TTFT). Faster TTFT can accelerate inference for large language models. The project is hosted on GitHub for community contributions. Developers can integrate MemStitch into existing vLLM pipelines. The approach targets workloads that require rapid token generation. Early benchmarks suggest notable efficiency gains over baseline. Further testing will determine real‑world impact across diverse models.