Llama.cpp b9628 adds SYCL support for Intel GPU acceleration
New release enables LLM inference on Intel GPUs via SYCL backend
The latest llama.cpp release (b9628) introduces SYCL support to its automated release verification process, marking a significant step toward broader hardware compatibility for local LLM inference. SYCL (SYstemCL) is a royalty-free, cross-platform abstraction layer that enables C++ code to target various accelerators, including Intel GPUs, FPGAs, and other SYCL-compatible devices. This addition allows developers to more reliably build and test llama.cpp on Intel GPU hardware.
The release continues llama.cpp's tradition of extensive cross-platform support, offering pre-built binaries for macOS (Apple Silicon and Intel, with KleidiAI-enabled ARM64 builds), multiple Linux distributions (x64 and ARM64 with Vulkan, ROCm 7.2, OpenVINO, SYCL FP32/FP16), Android ARM64, and Windows (x64/ARM64 CPU, CUDA 12/13, Vulkan, SYCL, HIP). OpenEuler builds remain disabled. This update ensures that the popular C++ implementation of LLMs can leverage a wider range of consumer and enterprise GPUs, reducing reliance on NVIDIA-only solutions.
- SYCL added to CI/CD pipeline for automated release testing on Intel GPU accelerators
- Supports 20+ build configurations across macOS, Linux, Android, and Windows
- Includes CUDA 12/13, ROCm 7.2, Vulkan, OpenVINO, and SYCL FP16 backends
Why It Matters
Expands local LLM inference to Intel GPU users, democratizing access beyond NVIDIA and AMD hardware