oneAPI Specification source files
Open recipes, engine patches, and benchmark harnesses for LLM inference on Intel Arc Pro B60/B70 (Battlemage, Xe2). MoE 35B at 160 t/s decode / 7.5K t/s prefill single-stream, 27B at 50~ t/s decode / 1.7K t/s prefill single stream. vLLM XPU MTP unlocked. Muse Glimmer recipe added!!
Makes Intel Arc Pro B70 GPUs actually fast on Ubuntu Server. 11 llama.cpp cherry-picks that fix the big B70 bugs (MoE slot-init SEGV, Q8_0 reorder crash, OOM reorder, missing BF16 GET_ROWS, wrong Xe2 warptile, slow K-quant DMMV, etc.) + Mesa 26 + runtime env workarounds + SYCL/Vulkan backend-selection rules. 2-7x speedup on 4x B70, bench-verified.
VMAFX — perceptual video quality assessment. Modernized fork-evolved with SYCL/CUDA/HIP/Metal backends, tiny-AI models, MCP server, cloud-native (k8s/Helm) deployment. BSD-2-Clause-Patent.
Plug-and-play llama.cpp runtime for Intel Arc GPUs. Auto-detects your card, picks safe SYCL defaults, and exposes an OpenAI-compatible API.
ComfyUI custom node for llama-cpp-python with Intel GPU SYCL acceleration. Adapted for 0.3.39+ MTMD rewrite. Pair with allanmeng/llama-cpp-python-sycl-windows for SYCL whl builds.
Automated CUDA-to-ROCm GPU kernel translation via semantic BridgeIR. 316 HIP API mappings, wavefront-aware optimization, MFMA targeting, 6 multi-target backends. Break free from CUDA vendor lock-in.
GUI manager for llama.cpp (SYCL) with OpenAI-compatible API and automatic model switching.
DORSAL scripts
Boltz-2 on Intel Arc — NVIDIA-free protein folding + binding affinity (AlphaFold3-class) via torch.xpu.
Hardware monitoring, benchmarks, and technical reports for NPUs (Intel Meteor Lake, Apple Silicon, Qualcomm).
Run a 30B-class LLM, vision, image generation and a local coding agent on an Intel ThinkPad (Arc 140T iGPU) — host-native, reproducible
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