Speed up AI development using Intel®-optimized software on the latest Intel® Core™ Ultra processor, Intel® Xeon® processor, Intel® Gaudi® AI Accelerator, and GPU compute.
As a participant in the open source software community since 1989, Intel uses industry collaboration, co-engineering, and open source contributions to deliver a steady stream of code and optimizations that work across multiple platforms and use cases. We push our contributions upstream so developers get the most current and optimized software that works across multiple platforms and maintains security.
Check out the following repositories to jumpstart your development work on Intel:
- OPEA GenAI Examples - Examples such as ChatQnA which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
- AI PC Samples - A collection of notebooks designed to showcase generative AI workloads on AI PC
- Open3D - A modern library for 3D data processing
- Optimum Intel - Accelerate inference with Intel optimization tools
- Optimum Habana - Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
- Intel Neural Compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
- OpenVINO Notebooks - 📚 Jupyter notebook tutorials for OpenVINO™
Join us on the Intel DevHub Discord server to chat with other developers in channels like #dev-projects, #gaudi, and #large-language-models.
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Repositories
- SDM Public
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- gpu-base-operator Public
Intel GPU Base operator allows automatic deployment of GPU related components to enable use of Intel GPU hardware within the Kubernetes cluster.
- torchlib-xpu Public
This project contains a set of plugins for PyTorch* ecosystem libraries which enable hardware acceleration on Intel® GPUs thru the XPU PyTorch* device backend.
- metrics-discovery Public
- metrics-library Public
- intel-graphics-compiler Public
- SVS-Extension-for-PostgreSQL Public
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