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Wednesday113 items

  1. Hugging FaceFirst-partyProduct release
    AI score55

    NVIDIA Releases SimReady Central, an Open Library of Simulation-Ready 3D Assets, on Hugging Face

    NVIDIA has launched SimReady Central on Hugging Face, an open 3D asset library for robot and AI factory simulation. The assets are in OpenUSD format with simulation attributes such as mass, collision geometry, and friction. OEMs can use the SimReady Central submission skill to validate and submit CAD equipment models according to the SimReady configuration, while developers and AI agents can use NVIDIA USD Search to retrieve assets in natural language and assemble them into Isaac Sim scenes. The article uses a pick-and-place scenario with a FANUC robotic arm equipped with a Robotiq gripper and an AI factory layout comparison as examples to demonstrate the workflow of generating scene assembly and validation code with GPT-6 Astra.

    Same story · 6 reports

    #Product updates#Open-source ecosystem#Embodied AI

  2. NVIDIA：NewsroomFirst-partyProduct release
    AI score56

    NVIDIA Confidential Computing Adds Confidential Bare Metal Deployment Option

    NVIDIA is expanding its confidential computing capabilities with the launch of a Confidential Bare Metal deployment option, enabling frontier model builders to retain control over their models and data when running sensitive workloads on third-party dedicated infrastructure. This offering, together with the existing Confidential Containers and Confidential Virtual Machines, forms three deployment forms, and adds controls such as data protection in transit, platform integrity measurement, and hardware-level access restrictions. Cohere plans to integrate it into Cohere Model Vault, Google Cloud will support the capability on A4X Max instances based on GB300 NVL72, and providers such as CoreWeave, Microsoft Azure Infrastructure, and Nebius also support related deployments.

    #Product updates#English text is being prepared.#English text is being prepared.

  6. NVIDIA Developer · Generative AIFirst-partyProduct release
    AI score74

    NVIDIA Releases OpenShell Reference Architecture to Provide Security and Governance for Large-Scale AI Agent Workloads

    NVIDIA has released the OpenShell reference architecture, using an open-source runtime to treat agent workloads as untrusted objects and grant access on demand. The architecture consists of four components: Gateway, Supervisor, Sandbox, and Policy Prover, which are responsible for sandbox lifecycle and policy management, credential access brokering, workload isolation, and formal verification of policy permissions, respectively. CoreWeave's measurements show that on Vera CPUs, sandbox startup is more than 3 times faster than on x86, agent loops complete 1.8 times faster, and a single rack can support more than 11,000 concurrent agent environments.

    A comparison of NVIDIA Vera (green) against x86 (gray). Left chart shows sandbox startup speed in sandboxes per second, with Vera more than 3x higher than x86. Right chart shows per-task relative performance across 20 agentic loop tasks, with Vera bars consistently above the x86 baseline of 1.0, reaching up to 2x on tasks such as cobol-modernization, fix-git, db-wal-recovery, and openssl-selfsigned-cert. Geometric mean advantage: 1.8x.

    Same story · 9 reports

    #Product updates#Agents#Safety / alignment

  15. Ayi AI NotesProduct release
    AI score67

    Open-source project LangAlpha v2.0 launches an investment research agent system that connects to multiple brokerages

    The open-source project LangAlpha v2.0 has released an investment research system that puts a virtual analyst team and four tiers of trading authorization into the same workspace, and can connect to brokerages such as Robinhood, Interactive Brokers, and moomoo. The four authorization tiers are no trading, manual approval for every trade, produce a strategy plan before acting, and fully autonomous. The system uses a Chief of Staff to split tasks among the semiconductor team, portfolio management team, and earnings report team for concurrent processing, and outputs strategy reports with backtests and checkpoints. The project already has more than 1,800 Stars in the open-source community, and the author recommends locking in per-trade approval first and then gradually delegating authority.

    Quoted postAYi · @AYi_AInotes

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    #English text is being prepared.#Agents#English text is being prepared.

  16. X.PINProduct release
    AI score72

    DeepSeek Open-Sources Its Internal Inference Framework DeepInfer

    DeepSeek has open-sourced its internal inference framework DeepInfer, which it says powers the high-throughput, low-latency inference of DeepSeek-V4.1-Flash. The framework supports both Nvidia and Huawei Ascend hardware, and offers capabilities such as distributed inference, speculative decoding, SWA Bounded Replay, and structured output. DeepSeek also released deepseek-recipe, a production-grade tokenization component fully aligned with the official API.

    Quoted postDeepSeek · @deepseek_ai

    🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 https://t.co/JGAik1kgk0 1/4

    Same story · 29 reports

    #English text is being prepared.#English text is being prepared.#DeepSeek