What are the main features of LLM Scaler vLLM?

LLM Scaler vLLM supports INT4 and FP8 quantized online serving, multi-modal and omni model support, tensor/pipeline/data parallelism via CCL, embedding and reranker models, and a multi-modal WebUI for serving text generation models on Intel Arc Pro GPUs.

What generative AI capabilities does LLM Scaler Omni provide?

LLM Scaler Omni supports image generation and editing, video generation and animation, 3D generation, text-to-speech and voice cloning, and video upscaling through ComfyUI (Omni Studio mode) and OpenAI-API-compatible serving (Omni Serving mode) via SGLang Diffusion or Xinference.

Which GPU models does LLM Scaler run on?

LLM Scaler runs on Intel Arc Pro B60 and B70 GPUs, with support added for the B70 in May 2026.

Large Language ModelsAI Coding AssistantsOpen-Source AIHacker NewsAug 9, 2026Aug 10, 2026, 06:00 JST2 min read

Intel LLM Scaler adds Multi-token Prediction, LoRA support for Arc Pro GPUs

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Key takeaway

Intel's LLM Scaler software stack has been updated to support advanced features like Multi-token Prediction and LoRA fine-tuning on its Arc Pro B60 and B70 GPUs, expanding the range of generative AI workloads that can run on Intel hardware.
The platform now covers 60+ models across text, vision, audio, and video generation, with recent releases (August 2026) also adding per-block quantization support to improve efficiency.

3 Key Points

What happened
Intel released llm-scaler-vllm:0.21.0-b2 in August 2026, adding Multi-token Prediction (MTP) and LoRA Serving support for Qwen3.6-27B, Qwen3.6-35B-A3B, gemma-4-31B-it, and gemma-4-26B-A4B-it models, as well as support for per-block quantized models Qwen3.6-27B-FP8 and Qwen3.6-35B-A3B-FP8.
Why it matters
LLM Scaler enables developers and enterprises to run state-of-the-art generative AI models—for text, image, and video—natively on Intel Arc Pro B60 and B70 GPUs using standard frameworks like vLLM and ComfyUI, rather than relying solely on NVIDIA or other vendors' hardware.
What to watch
The platform now supports 60+ models across text generation (including DeepSeek, Qwen, Llama, Mistral, Gemma), multi-modal vision models, embedding and reranking models, and omni models for image, video, and audio generation. Omni Serving provides OpenAI-API-compatible endpoints for image and audio tasks.

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Context & Analysis

LLM Scaler represents Intel's strategy to enable its Arc Pro GPUs as viable alternatives for generative AI workloads. Rather than building proprietary software, the platform leverages open-source frameworks (vLLM, ComfyUI, SGLang Diffusion, Xinference) to ensure compatibility and ease of adoption for developers already familiar with these tools. The August 2026 release adds Multi-token Prediction and LoRA Serving—two features that improve both inference speed and fine-tuning capabilities—extending the platform's utility for both deployment and model customization.

The breadth of supported models has grown substantially: the platform now covers major open-weight models from OpenAI (GPT-OSS), Qwen, DeepSeek, Llama, Mistral, Gemma, and others, spanning text, vision, embedding, and omni (multimodal) architectures. Quantization options (INT4, FP8, MXFP4) allow operators to trade off precision for memory and speed, a critical capability for running larger models on GPU memory-constrained systems. The Omni Serving mode, which exposes image and audio generation via OpenAI-compatible APIs, lowers integration friction for applications already built on that interface.

FAQ

What are the main features of LLM Scaler vLLM?: LLM Scaler vLLM supports INT4 and FP8 quantized online serving, multi-modal and omni model support, tensor/pipeline/data parallelism via CCL, embedding and reranker models, and a multi-modal WebUI for serving text generation models on Intel Arc Pro GPUs.
What generative AI capabilities does LLM Scaler Omni provide?: LLM Scaler Omni supports image generation and editing, video generation and animation, 3D generation, text-to-speech and voice cloning, and video upscaling through ComfyUI (Omni Studio mode) and OpenAI-API-compatible serving (Omni Serving mode) via SGLang Diffusion or Xinference.
Which GPU models does LLM Scaler run on?: LLM Scaler runs on Intel Arc Pro B60 and B70 GPUs, with support added for the B70 in May 2026.

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