llama.cpp b10252 updates BoringSSL, expands platform support across CPUs and GPUs

llama.cpp, the wildly popular C++ implementation for running large language models locally, has released a new version tagged b10252. Published via GitHub Actions on August 4, this release is a security-focused update that vendors BoringSSL version 0.20260803.0. BoringSSL is Google's actively maintained fork of OpenSSL, so this change brings newer cryptographic algorithms, bug fixes, and performance improvements to llama.cpp's secure networking paths. For a project primarily used to run LLMs offline, this matters when users access remote model repositories or use HTTP-based inference servers.

The release stands out for its exhaustive matrix of prebuilt binaries. Builds cover macOS Apple Silicon (both standard and KleidiAI-enabled), Intel x64, iOS XCFramework, Linux distributions (x64, arm64, s390x) with CPU or Vulkan acceleration, plus specialized GPU backs like ROCm 7.2, OpenVINO, and SYCL (FP32/FP16). Windows users get options for CPU, CUDA 12.4, CUDA 13.3, Vulkan, OpenCL on Adreno, and HIP. Even openEuler (a Chinese enterprise Linux) is included with custom ACL Graph support for Ascend NPUs. This breadth means virtually any hardware setup can run the latest llama.cpp with a drop-in binary. The project's 123k stars and active maintenance underscore its position as a cornerstone of the self-hosted AI ecosystem.