
NVIDIA has released the Nemotron 3 Ultra, a 550 billion parameter AI model available on Ollama's cloud platform. Designed for long-running agentic workflows, it features a 1 million token context to handle extensive codebases and research trails. The model uses NVFP4, a 4-bit floating point format, to optimize memory and speed. Benchmarks show it leads in accuracy and cost efficiency, offering up to 30% savings over other models. This positions Nemotron 3 Ultra as a top choice for developers needing robust AI capabilities.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
Together AI Blog · March 11, 2026 · Same story
Lev Selector · March 13, 2026 · Same story
Together AI Blog · April 28, 2026 · Same story
NVIDIA Blog · April 28, 2026 · Same story
Matt Wolfe · May 1, 2026 · Same story
Hugging Face Blog · June 1, 2026 · Related
Sam Witteveen · June 1, 2026 · Related
The Rundown AI · June 2, 2026 · Related
NVIDIA Blog · July 8, 2026 · Same story
Hugging Face Blog · July 8, 2026 · Same story
Ollama Blog · August 11, 2026 · Same story
Sam Witteveen · August 11, 2026 · Same story
Lev Selector · August 14, 2026 · Same story
NVIDIA Launches Nemotron 3 Ultra Model
3 developments
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 AIApple 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.
© Matt WolfeGoogle launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.