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Intel releases LLM-Scaler-vLLM PV 1.5

Intel software engineers released LLM-Scaler-vLLM PV 1.5, a Docker stack that runs large‑language models on Intel Arc Graphics. It also adds support for several Qwen and Gemma models, including Qwen3.6‑27B, Qwen3.8‑27B, Qwen3.6‑35B‑A3B, gemma‑4‑26B‑A4B‑it and gemma‑4‑31B‑it.

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Key points

  • Intel upgrades vLLM from 0.14 to 0.26 in LLM-Scaler-vLLM PV 1.5.
  • New Qwen and Gemma models added, plus FP8/INT4 quantization and faster token times.

New quantization options—online FP8 and symmetric INT4—are now available, along with FP8 KV cache support. The stack delivers faster time‑to‑first‑token for Qwen and Gemma 4 models, improved MTP decoding, and better LoRA serving performance. Bug fixes round out the release, which can be downloaded from the project’s GitHub repository. The work is part of Intel’s Project Battlematrix and precedes the upcoming Crescent Island Intel GPU D Series.

Full story from phoronix.com · via Reddit AI communitiesOpen source ↗

Intel LLM-Scaler-vLLM PV 1.5 brings big improvements

phoronix.com · 16 October 2026

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