Show-off Saturday: Intel Arc B140 build.
Summary
A showcase of a personal local AI inference build featuring Intel Arc B140 GPUs and custom hardware, running llama.cpp with SYCL back-end on Ubuntu.
Similar Articles
Intel Arc Pro B70 llama.cpp benchmarks posted
Benchmark results for Intel Arc Pro B70 GPU running llama.cpp with SYCL on Qwen models show 63 tokens per second performance.
I built a weird, low-power llama.cpp server using an Intel N100 + RTX 5060Ti
A hobbyist describes building a low-power llama.cpp server using an Intel N100 motherboard and a refurbished RTX 5060 Ti, sharing performance numbers, power consumption, and model choices.
Intel LLM-Scaler vllm-0.14.0-b8.2 released with official Arc Pro B70 support
Intel’s LLM-Scaler vllm-0.14.0-b8.2 adds official support for the Arc Pro B70 GPU, enabling Docker-based large-model inference on Battlemage hardware.
@TeksEdge: Solved! Qwen3.6-27B-FP8 is now running on Intel Arc Pro B70! LocalMaxxing shows a working 4× Arc Pro B70 32GB run at ~5…
Qwen3.6-27B-FP8 model is now running on Intel Arc Pro B70 GPUs at ~50 tok/s with a vLLM bug fix, marking a significant milestone for Intel GPU local AI inference.
Ling-3.0 (BailingMoE3) lands in llama.cpp mainline - Quick benchmarks on Intel Arc B580
Ling-3.0 (BailingMoE3) is now officially supported in llama.cpp, with benchmarks on Intel Arc B580 showing efficient local inference including 128K context in 12GB VRAM.