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llama.cpp b11046 adds OpenCL flash attention
llama.cpp Releaseshigh confidence
Why it matters
- →Enables flash attention on OpenCL GPUs, expanding hardware options beyond CUDA/Vulkan.
- →Adds guarded prefill optimizations for OpenCL, improving inference speed on specific tasks.
- →Maintains comprehensive support across all major platforms including ROCm and KleidiAI.
llama.cpp has released version b11046, introducing OpenCL support for the flash_attn_f32_f16_bin kernel and guarded prefill optimizations. The release maintains broad compatibility with existing platforms including CUDA 12/13, ROCm 10.0, Vulkan, and various CPU architectures across macOS, Linux, Windows, and Android. This update specifically targets OpenCL users, allowing them to leverage flash attention mechanisms previously limited to other backends. The build includes standard binaries for major operating systems and hardware configurations.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1Llama.cpp Enhances OpenCL Flash Attention
llama.cpp Releases · June 28, 2026 · Same story
What happened next
- 2llama.cpp b12118 improves OpenCL decode performance
llama.cpp Releases · November 5, 2026 · Same story
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3 developments
- Sep 19 · llama.cpp Releases
llama.cpp b11046 adds OpenCL flash attention (This article) - Sep 22 · llama.cpp Releases
llama.cpp adds Intel Xe flash attention optimization - Sep 24 · llama.cpp Releases
llama.cpp b11140 optimizes sparse attention on CUDA↳ llama.cpp b11140 optimizes sparse flash attention prefill for NVIDIA GPUs, reducing batched sparse ops from 586 to 244 microseconds
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