llama.cpp has released version b11027, adding pre-built binaries for CUDA 13 and ROCm 10.0 on Linux and Windows. The release includes CUDA 13.3 libraries for Ubuntu x64/arm64 and CUDA 13.4 DLLs for Windows, alongside existing CUDA 12 support. AMD ROCm 10.0 builds are now available for both platforms, expanding hardware compatibility. Notably, macOS KleidiAI support is disabled in this build, while openEuler ACL Graph support remains disabled. This update allows users with modern GPU drivers to run local models without manual compilation.
Read originalThis release quietly extends llama.cpp's hardware support to the latest NVIDIA and AMD stacks. By shipping native binaries for CUDA 13 and ROCm 10, it ensures compatibility with newer GPU architectures without requiring users to compile from source. The inclusion of both CUDA versions side-by-side is a pragmatic move for enterprise environments managing mixed infrastructure. While no new model formats are introduced, this update keeps the runtime relevant as hardware vendors push their latest drivers.
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10. For the first time, users on cutting-edge hardware can run local models without being forced into legacy driver versions or waiting for vendor-specific optimizations. The inclusion of both CUDA 12 and 13 binaries side-by-side removes a major friction point for developers managing mixed environments. While no new model architectures are added, this infrastructure update ensures compatibility with the fastest consumer and data center GPUs hitting the market right now.
This release stabilizes Claude Code by fixing crashes that occurred when resuming sessions with malformed transcripts or memory files. It also improves the developer experience by syncing skills and plugins from your claude.ai account to terminal sessions, ensuring consistency across environments. Security is tightened by preventing install scripts from running on npm-sourced plugins, while usability sees gains in artifact publishing and image handling. The update addresses critical edge cases that previously broke workflows, making the tool more reliable for daily use.
Anthropic quietly patched a critical regression in Claude Code that broke all API requests for users routing traffic through proxies or gateways. The issue stemmed from an invalid input tag 'advisor_20260301' introduced in the previous version, effectively locking out enterprise and custom infrastructure setups. This fix restores basic functionality for developers who cannot connect directly to Anthropic's endpoints, highlighting the fragility of recent CLI updates.