
JetBrains has introduced Mellum2, a 12 billion parameter Mixture-of-Experts model optimized for low-latency text and code workloads. The model activates only 2.5 billion parameters per token, achieving over twice the inference speed of comparable models. Mellum2 is open-source under the Apache 2.0 license and is designed for high-throughput tasks in software engineering, such as code generation and summarization. This release highlights a trend towards specialized models that improve the efficiency and control of AI systems without replacing existing components.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
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.
© The Verge AIMIT News AI · February 26, 2026 · Background
Together AI Blog · March 4, 2026 · Background
Hugging Face Blog · May 8, 2026 · Related
Together AI Blog · May 19, 2026 · Background
llama.cpp Releases · May 22, 2026 · Related
vLLM Releases · May 31, 2026 · Background
llama.cpp Releases · June 14, 2026 · Related
MIT Technology Review AI · June 19, 2026 · Related
MIT Technology Review AI · August 10, 2026 · Related
Hugging Face Blog · August 25, 2026 · Related
Sam Witteveen · August 30, 2026 · Related
JetBrains Releases Mellum2: Efficient 12B MoE Model
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.