
Ollama has updated its MLX engine to achieve its highest performance yet on Apple Silicon. By utilizing Apple's unified memory and the Metal-backed MLX framework, the engine now delivers faster and more efficient model outputs. The update introduces support for NVIDIA's NVFP4 format, enhancing output quality while maintaining performance. Additionally, new optimizations have increased processing speed by 20%, and a snapshot system improves responsiveness in agent workflows. This update enhances the portability and efficiency of AI models on consumer hardware.
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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.
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Ollama 0.30 Enhances Performance and Model Support
2 developments
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.