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Home/Coding Tools
Coding Tools

llama.cpp b12400 release with CUDA 13 and ROCm 10

llama.cpp Releases·November 15, 2026·high confidence

Why it matters

  • →CUDA 13 support keeps llama.cpp compatible with the latest NVIDIA GPU drivers.
  • →ROCm 10 integration improves performance on modern AMD accelerators for local inference.
  • →OpenVINO and SYCL builds expand options for Intel hardware users.

llama.cpp has released version b12400, a standard update focusing on platform compatibility rather than architectural changes. The release adds support for CUDA 13.5 and ROCm 10.0 across Linux and Windows builds, alongside OpenVINO and SYCL variants. macOS KleidiAI builds are currently disabled in this iteration. The update ensures users with recent NVIDIA and AMD hardware can run local models without driver conflicts.

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The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

llama.cpp b11381 release with CUDA 13 and ROCm 10 — llama.cpp Releases1llama.cpp b12400 release with CUDA 13 and ROCm 10llama.cpp b12399 adds ROCm 10 and CUDA 13 builds — llama.cpp Releases2Oct 4You are hereNov 15

How we got here

  1. 1
    llama.cpp b11381 release with CUDA 13 and ROCm 10

    llama.cpp Releases · October 4, 2026 · Same story

What happened next

  1. 2
    llama.cpp b12399 adds ROCm 10 and CUDA 13 builds

    llama.cpp Releases · November 15, 2026 · Same story

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llama.cpp b12398 optimizes Vulkan Flash Attention for AMD

This release targets the persistent performance gap on AMD hardware by optimizing Vulkan Flash Attention specifically for RDNA3 and RDNA4 architectures. The changes include reducing shared memory usage through buffer reuse and fixing critical stability issues like NVIDIA hangs and sparse FA underflow bugs. While there are no new model architectures, these low-level shader optimizations directly translate to faster inference speeds for local users on modern AMD GPUs. It is a quiet but necessary engineering update that tightens the ecosystem for non-NVIDIA accelerators.

llama.cpp Releases·Nov 15, 2026
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llama.cpp b12399 adds ROCm 10 and CUDA 13 builds

This release quietly extends llama.cpp’s hardware support to the latest NVIDIA and AMD stacks. By shipping binaries for CUDA 13.5 and ROCm 10.0, it ensures users on cutting-edge GPUs don't have to compile from source to get performance gains. The Vulkan build also fixes header inclusion issues that previously broke compilation on some Linux distributions. It’s a maintenance update rather than a feature leap, but it keeps the local inference runtime compatible with the fastest consumer and datacenter hardware available today.

llama.cpp Releases·Nov 15, 2026
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llamafile b12401 adds s390x and ROCm 10 support

This release quietly expands llamafile's reach into enterprise mainframes with Q0 quant support for IBM's s390x architecture. It also updates CUDA builds to version 13.5 and introduces ROCm 10.0, keeping the runtime competitive against NVIDIA's latest drivers. Apple Silicon KleidiAI is disabled in this build, shifting focus toward broader hardware compatibility rather than optimized ARM performance. The inclusion of Snapdragon NPU support on Linux further broadens the edge computing footprint. This is infrastructure maintenance that ensures llamafile remains a viable option for diverse, non-standard hardware environments.

llama.cpp Releases·Nov 15, 2026

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