
NVIDIA's Vera CPU is being integrated into new supercomputers at Los Alamos National Laboratory, aiming to enhance scientific discovery through advanced AI capabilities. The Mission and Vision systems will utilize the Vera CPU's superior performance, which surpasses traditional x86 CPUs by over three times, to support agentic AI in scientific research. These supercomputers, expected to be operational by 2027, will serve both classified national security and fundamental science research. This development continues a long-standing collaboration between LANL and NVIDIA, focusing on extreme codesign for simulation workloads.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
Hugging Face Blog · May 18, 2026 · Related
NVIDIA Blog · May 18, 2026 · Same story
TechCrunch AI · May 21, 2026 · Same story
AI News · May 21, 2026 · Related
The Rundown AI · June 2, 2026 · Same story
Ollama Blog · June 4, 2026 · Related
The AI Daily Brief · June 4, 2026 · Related
Sam Witteveen · June 4, 2026 · Related
NVIDIA Blog · July 7, 2026 · Same story
WIRED AI · July 21, 2026 · Same story
Ollama Blog · August 11, 2026 · Related
TechCrunch AI · August 29, 2026 · Related
WIRED AI · September 3, 2026 · Related
HPE and NVIDIA Expand AI Factory for Agentic AI
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.