16 × AIAI signal, amplified
AI newsTopicsAboutSources
TelegramFollow on Telegram
AI newsTopicsAboutSources
16 × AIAI signal, amplified

An AI news engine that ingests trusted sources, scores with Claude, and posts only what clears the bar.

Follow on Telegram →

Subscribe

  • Telegram
  • RSS
  • All channels

Newsletter

Used only to send this newsletter. Privacy

Legal

  • Privacy
  • Imprint
© 2026 16 × AI. All rights reserved.A new issue every two days.
Home/Coding Tools
Coding Tools

llama.cpp b12404 adds CUDA 13 and Snapdragon support

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

Why it matters

  • →CUDA 13 support allows users with the latest NVIDIA drivers to run local models without downgrading or using legacy builds.
  • →Native Snapdragon Linux binaries enable efficient on-device AI inference for ARM-based mobile and edge devices.
  • →ROCm 10.0 integration continues to close the performance gap for AMD GPU users in the local LLM ecosystem.

llama.cpp has released version b12404, expanding its binary support to include CUDA 13 (version 13.5) for both x64 and arm64 Linux/Windows environments. The update also introduces native Snapdragon support for Linux, covering CPU, Adreno GPU, and Hexagon NPU execution paths. Additionally, ROCm 10.0 builds are now available for Ubuntu and Windows, alongside OpenVINO and SYCL optimizations. Notably, macOS KleidiAI support is currently disabled in this specific release.

Read original

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 b12058 adds CUDA 13 and Snapdragon support — llama.cpp Releases1llama.cpp b12124 adds CUDA 13 and Snapdragon support — llama.cpp Releases2llama.cpp b12404 adds CUDA 13 and Snapdragon supportNov 3You are here

How we got here

  1. 1
    llama.cpp b12058 adds CUDA 13 and Snapdragon support

    llama.cpp Releases · November 3, 2026 · Same story

  2. 2
    llama.cpp b12124 adds CUDA 13 and Snapdragon support

    llama.cpp Releases · November 5, 2026 · Same story

More from llama.cpp Releases

Coding Toolscoding

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
Coding Toolscoding

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
Coding Toolscoding

llama.cpp b12400 release with CUDA 13 and ROCm 10

This is a routine maintenance release for llama.cpp that quietly extends hardware support to the latest NVIDIA and AMD stacks. By adding CUDA 13.5 and ROCm 10.0 binaries, it ensures local inference remains viable on cutting-edge GPUs without waiting for community forks. The build also includes OpenVINO and SYCL variants, reinforcing its role as the universal runtime for diverse accelerators. While no new model architectures are introduced, this update keeps the toolchain compatible with modern driver ecosystems.

llama.cpp Releases·Nov 15, 2026

More in Coding Tools

Coding Toolscoding

Claude Code v2.1.325 patches security and MCP stability

This release prioritizes stability over new features, addressing a critical zstd decompression vulnerability that could have exposed response data. Beyond security, it significantly hardens the reliability of Model Context Protocol (MCP) integrations, fixing persistent connection drops and authentication loops that plagued background tasks. The update also resolves context compaction failures on third-party gateways, ensuring sessions no longer crash when hitting token limits. For developers relying on Claude Code for complex workflows, this patch removes several friction points that previously interrupted automated coding sessions.

Claude Code Releases·Nov 15, 2026
GitHub Copilot Deprecates Claude Haiku 4.5 in Dec 2026© GitHub Changelog
Coding Toolscoding

GitHub Copilot Deprecates Claude Haiku 4.5 in Dec 2026

GitHub is quietly removing Claude Haiku 4.5 from its entire Copilot ecosystem by December 2026, a move that forces enterprise and business users to migrate away from Anthropic’s fastest model. While individual annual subscribers retain access, the deprecation signals a strategic shift in GitHub’s default model stack, likely prioritizing higher-margin or more integrated options like GPT-4o or newer Claude variants. This isn't just a sunset notice; it's a mandate for workflow updates, requiring administrators to actively manage model policies rather than relying on passive defaults. The move highlights the fragility of relying on third-party models within closed IDE ecosystems, where access can be revoked unilaterally. Developers must now audit their settings to ensure compliance with new default stacks. This transition marks a clear boundary between individual flexibility and enterprise control in AI tooling.

GitHub Changelog·Nov 13, 2026
GitHub Copilot app supports Enterprise Server© GitHub Changelog
Coding Toolscoding

GitHub Copilot app supports Enterprise Server

The GitHub Copilot desktop app finally reaches parity with the web interface for enterprise users. Version 1.2.0 makes GitHub Enterprise Server support generally available, allowing developers to connect their GHES accounts directly within the IDE-like environment. This closes a significant gap for organizations that cannot or will not use GitHub.com, enabling remote repository and pull request workflows without leaving the app. While cloud sessions remain unavailable for these instances, local inference on enterprise code is now fully integrated.

GitHub Changelog·Nov 13, 2026