Intel Updates LLM-Scaler-vLLM Build For vLLM 0.26 & Other Improvements

Intel Updates LLM-Scaler-vLLM Build For vLLM 0.26 & Other Improvements

For those looking for the smoothest experience to get vLLM up and running on Intel Arc (Pro) graphics hardware, out today is the newest beta of Intel's LLM-Scaler-vLLM project for a Docker-based setup of vLLM ready to go on Intel GPUs. The new Intel LLM-Scaler-vLLM 0.26.0-b1 beta has upgraded against upstream vLLM 0.26. The upstream vLLM 0.26 release added DeepSeek-V4 kernel support, improved KV offloading, JIT warm-up infrastructure, and a variety of other performance optimization work. In addition to re-basing against vLLM 0.26, the new LLM-Scaler-vLLM also improves the time-to-first-token for Qwen models. There is also improved FP8 KV cache performance as well as fixing various bugs. Downloads and more details on the new LLM-Scaler-vLLM release via GitHub.

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