Introduction
IPEX-LLM is Intel’s XPU acceleration library for PyTorch, providing optimizations to run LLMs efficiently on Intel XPU (integrated GPUs, Arc dGPUs, NPU) and CPUs.
Key Features
- Broad compatibility: integrates with llama.cpp, Ollama, vLLM, HuggingFace, LangChain, LlamaIndex and more.
- Low-bit & mixed precision: supports INT4/FP4/FP8 and mixed-precision optimizations to improve throughput and reduce memory footprint.
Use Cases
- High-performance inference and fine-tuning on Intel-based local and cloud deployments.
- Optimized LLM inference on resource-constrained devices (integrated GPUs or NPUs).
Technical Highlights
- Deep integration with PyTorch and support for hardware-specific optimizations and pipeline parallelism (e.g., DeepSpeed AutoTP).
- Production tooling: Docker/Helm deployment guides and benchmarking tools for performance evaluation.