llama.cpp b9190 fixes server memory allocation bug for heap
New release patches a critical buffer allocation issue in the router server.
The latest release of llama.cpp, tagged b9190, addresses a server-side memory management issue that could cause instability under load. The fix moves temporary buffer allocation from the stack to the heap in the server router component. This change prevents stack overflow errors when handling numerous simultaneous inference requests, improving reliability for production deployments.
The release supports an extensive array of hardware and platforms: Apple Silicon (with KleidiAI acceleration), Intel Macs, Linux with CPU, Vulkan, ROCm 7.2, OpenVINO, and SYCL (FP32/FP16); Windows with CPU, CUDA (12 & 13), Vulkan, HIP; plus Android ARM64 and openEuler (x86/arm64 with ACL Graph). The project, now with 111k stars and 18.3k forks, continues to dominate local LLM inference.
- Fixes server router memory allocation by moving tmp buffer to heap to prevent stack overflow
- Supports 20+ build targets including macOS, Linux, Windows, Android, and openEuler with various accelerators
- Project has 111k GitHub stars and 18.3k forks, indicating massive community adoption
Why It Matters
Stability fix ensures llama.cpp server can handle concurrent inference reliably for production local LLM deployments.