Coding Tools
llama.cpp b10993 adds ROCm 10 and CUDA 13 builds
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10 support allows AMD GPU users to run latest drivers without custom builds.
- →CUDA 13 binaries ensure compatibility with newest NVIDIA GPU architectures.
- →WebGPU CI integration signals progress toward browser-based local inference capabilities.
llama.cpp has released version b10993, expanding its pre-built binary support to include ROCm 10.0 and CUDA 13 libraries on Linux and Windows platforms. The update also integrates self-hosted WebGPU testing into the CI pipeline and adjusts CPU backend thread configurations for better stability. While no new model architectures or quantization techniques are introduced, this release ensures compatibility with recent GPU driver updates from both AMD and NVIDIA. The build remains focused on maintaining broad hardware support rather than introducing new features.
Read originalThe 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.
What happened next
- 1llama.cpp b11017 adds CUDA 13 and ROCm 10 builds
llama.cpp Releases · September 18, 2026 · Same story
- 2llama.cpp b11055 adds CUDA 13 and ROCm 10 builds
llama.cpp Releases · September 20, 2026 · Same story
More from llama.cpp Releases
Coding Toolscoding
llama.cpp b12022 adds ROCm 10 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.
llama.cpp Releases
Coding Toolscoding
llama.cpp b12023 fixes shared prefix bug
This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.
More in Coding Tools
Coding Toolscoding
Claude Code v2.1.316: Subagents and Gateway Budgets
Anthropic is tightening control over Claude Code's autonomous behavior with new environment variables that let you disable 'ultrathink' or cap subagent effort levels. For teams, the introduction of pooled group budgets on the gateway allows shared monthly spending limits across members, a practical fix for enterprise cost management. The release also patches critical bugs where shell commands would hang or crash on exit, stabilizing the developer experience significantly.
Claude Code Releases
© The Verge AICoding Toolscoding
