Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
-
Updated
Nov 7, 2026 - C++
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
Make use of Intel Arc Series GPU to Run Ollama, StableDiffusion, Whisper and Open WebUI, for image generation, speech recognition and interaction with Large Language Models (LLM).
Intel Iris Xe (Raptor Lake) Metal acceleration on macOS Tahoe — Dell XPS 13 Plus 9320 OpenCore hackintosh. Work in progress.
Pinned Intel Arc Pro B60/B70 inference recipes, engine patches and measurement records: Qwen3.8-27B EXL3 on one card (262,144 context, 63 tok/s; MTP3 measured lossy on 27% of a fixed 329-item set), Nemotron Bolt 74B, Flash-Next, dual-card routes, and a machine-checked catalog where each speculative row states whether the drafter changes the answer.
🎨ComfyUI standalone pack for Intel GPUs. | 英特尔显卡 ComfyUI 整合包
Benchmark results and performance data for the Intel Arc Pro B70 GPU (Xe2/Battlemage) - LLM inference, video generation, dual-GPU scaling.
End-to-end subtitle translation workstation with cloud and local OpenVINO model support.
GPU-accelerated LLaMA inference wrapper for legacy Vulkan-capable systems a Pythonic way to run AI with knowledge (Ilm) on fire (Vulkan).
a bunch of scripts that i made to automate your task and get the best battery life
KDE Plasma Widget that displays Intel GPU usage including whether or not video acceleration is being used.
A pure C inference engine designed for Intel Xe-LP iGPUs and Gemma 4 26B-A4B QAT.
Docker build scripts for TornadoVM on GPUs: https://github.com/beehive-lab/TornadoVM
Cross-Platform Vulkan Backend for PyTorch
Intel LevelZero JNI library for TornadoVM
A Rust operating system that runs on a real laptop: its own kernel, Intel GPU and Wi-Fi drivers, HTTPS, a Meridian desktop, and results collected from IBM's quantum hardware.
🚀 Intel GPU Support in TensorFlow & PyTorch This repo provides a quick guide to install, configure, and optimize TensorFlow & PyTorch for Intel GPUs (Intel Arc, Data Center GPU Max)
Fan research project: the real DLSS 5 (71-block DLSSNR) neural-rendering graph running live on Intel Arc via Vulkan cooperative-matrix (XMX) cores — Vulkan / DX9 / DX10 / DX11 / DX12 games + screen mode. Demo build.
To associate your repository with the intel-gpu topic, visit your repo's landing page and select "manage topics."