
Hewlett Packard Enterprise (HPE) and NVIDIA have expanded their AI Factory to support the development and deployment of agentic AI systems. This includes the introduction of the NVIDIA Vera CPU, designed for real-time data processing in agent systems, and the NVIDIA Agent Toolkit for managing autonomous agents. The expansion also features NVIDIA Confidential Computing for secure data handling. This collaboration aims to facilitate the transition of agentic AI from proof of concept to production, providing enterprises with the necessary tools and infrastructure for advanced AI applications.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
Matt Wolfe · May 11, 2026 · Related
NVIDIA Blog · May 18, 2026 · Same story
TechCrunch AI · May 21, 2026 · Related
The Rundown AI · June 2, 2026 · Same story
The AI Daily Brief · June 4, 2026 · Related
Sam Witteveen · June 4, 2026 · Related
Matt Wolfe · June 5, 2026 · Related
NVIDIA Blog · July 7, 2026 · Same story
WIRED AI · July 21, 2026 · Related
WIRED AI · September 28, 2026 · Same story
Together AI Blog · October 6, 2026 · Related
TechCrunch AI · October 7, 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.