xpu

A high-throughput and memory-efficient inference and serving engine for LLMs

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

A scheduling framework for multitasking over diverse XPUs, including GPUs, NPUs, ASICs, and FPGAs

🎨ComfyUI standalone pack for Intel GPUs. | 英特尔显卡 ComfyUI 整合包

LLM finetuning on Intel XPUs - LoRA on intel discrete GPUs

Finetune an LLM to generate SQL from text on Intel GPUs (XPUs) using QLoRA

Purplecoin/XPU Core integration/staging tree

Self-contained Python lib with zero-dependencies that give you a unified device properties for gpu, cpu, and npu. No more calling separate tools such as nvidia-smi or /proc/cpuinfo and parsing it yourself.

Template for starting PyTorch projects with Intel GPUs (XPU) on Windows.

This repository is used to track the learning process for XPU GEMM.

E/W Network Management

basic,intermidate,advanced levels of devlopment's

TGI server setup for Intel Data Centre GPUs

Sentiment classification app built with RoBERTa and optimized using Intel OpenVINO for deployment on Intel XPU devices. This project demonstrates how large language models (LLMs) can be fine-tuned and accelerated for real-time inference, making it ideal for low-latency AI applications.