Models & Labs
vLLM v0.19.0 Released with New Features
vLLM Releaseshigh confidence
Why it matters
- →This release enhances the capabilities of vLLM, making it more versatile for developers working with advanced AI models and architectures.
The vLLM v0.19.0 release includes 448 commits and introduces support for Google Gemma 4 architecture, async scheduling with speculative decoding, and various model enhancements. It also improves compatibility with HuggingFace Transformers v5.
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llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
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