
NVIDIA has introduced its first custom CPU, Vera, aimed at supporting agentic AI workloads. The Vera CPU, featuring 88 custom Olympus cores, is designed to handle the complex demands of AI agents, which extend beyond traditional GPU capabilities. Initial deliveries have been made to top AI labs including Anthropic, OpenAI, and SpaceXAI. This development marks a significant advancement in AI infrastructure, as Vera is built to enhance the efficiency and speed of AI operations. NVIDIA's move underscores its commitment to leading the next phase of AI computing with specialized 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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NVIDIA Launches Vera CPU for Agentic AI
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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.