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NVIDIA Expands Confidential Computing with New Confidential Bare Metal Option

NVIDIA announced Confidential Bare Metal, a new deployment option within its Confidential Computing portfolio that lets frontier model builders run sensitive workloads on dedicated third-party infrastructure while retaining control of models and data. The offering adds platform security controls for data in transit, platform integrity measurement and hardware-level access restrictions, alongside existing Confidential Containers and Confidential Virtual Machines modes. Support now extends to Grac

NVIDIA BlogOct 21, 2026Score 75
NVIDIAconfidential computingAI infrastructure security
Products

NVIDIA Expands Agent Toolkit With Agent Knowledge Foundation and Secure Runtime

NVIDIA expanded its open source Agent Toolkit with a new Agent Knowledge Foundation built on CUDA-X libraries, Nemotron Retriever and the Kumo structured models, aimed at grounding enterprise agents in company data. The toolkit also adds the OpenShell secure agent runtime, NemoClaw secure agent blueprints, and tools such as NeMo Relay and NeMo Compass. NVIDIA cites adoption by Palantir, Databricks, Snowflake, Zoom, SAP and ServiceNow, with AWS, IBM, Oracle and others also building on the foundat

NVIDIA BlogOct 21, 2026Score 73
NVIDIAenterprise AI agentsagent infrastructure
Models

NVIDIA Expands Open Model Portfolio Across Language, Robotics, Biology and Quantum

NVIDIA announced a broad expansion of its open model family, including Nemotron 3.5 Super VL and Bolt language models, Nemotron Retriever embedding and reranking models, and the new Kumo foundation models for structured business data. The lineup also covers Cosmos 3.5 world models, Alpamayo 2 Edge for autonomous vehicles, BioNeMo RFD4-Proteina for protein design and Ising for quantum computing. The company cites European partners including Mistral, Black Forest Labs and H-Company, plus enterpris

NVIDIA BlogOct 21, 2026Score 79
NVIDIAOpen-weight modelsEnterprise AI
Products

NVIDIA's GTC Berlin Keynote: DSX POD AI Factories, OpenShell Agent Security, New Open Models and Robotics Stack

At GTC Berlin, NVIDIA CEO Jensen Huang unveiled DSX POD, a modular reference design for complete Vera Rubin AI factories that NVIDIA says can cut onsite deployment from six months to 14 days, alongside claims of up to 100% reduced cooling water use and up to 30% less power. NVIDIA introduced the OpenShell Reference Architecture for policy-controlled, kernel-level sandboxing of AI agents, plus the Agent Knowledge Foundation and Kumo models for connecting agents to enterprise data. The keynote als

NVIDIA BlogOct 21, 2026Score 75
NVIDIAAI infrastructureAI agents
Industry Editor selected

NVIDIA Signs Joint Declaration with Germany on Industrial AI and Physics-Focused Models

NVIDIA and the German federal government signed a Joint Declaration of Intent to collaborate on advancing cutting-edge AI models for physical AI. The initiative expands NVIDIA's cooperation with Germany's Industry 4.0 Platform and emphasizes AI adoption among small and medium-sized manufacturers. NVIDIA also announced planned investments in four German startups — Agile Robots, Avelios Medical, Mirelo and Reflex Aerospace — as part of a roughly $10 billion European commitment. Separately, Siemens

Why it matters: This is a concrete government partnership plus named startup investments and technical milestones, giving readers substantive signals on industrial AI adoption in Europe.

NVIDIA BlogOct 20, 2026Score 80
NVIDIAGermanyindustrial AI
Industry

NVIDIA and EBU Expand Sovereign Agentic AI Framework for European Public Broadcasters

NVIDIA and the European Broadcasting Union are expanding the sovereign AI standards they introduced last year for European public service media, now adding sovereign cloud providers, open model developers and systems integrators. Microsoft, Nebius and NVIDIA Nemotron open models are involved in defining reference architectures for deploying agents while retaining control of data, infrastructure and models. Separately, Adobe is using NVIDIA GPUs (NVDEC, TensorRT, CUDA) for Frame.io semantic video

NVIDIA BlogOct 19, 2026Score 72
NVIDIAEuropean Broadcasting UnionAdobe
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NVIDIA Open Sources Run:ai Under Apache 2.0 for Kubernetes GPU Orchestration

NVIDIA has released the full Run:ai GPU orchestration platform as open source under Apache 2.0 on GitHub, offering production GPU scheduling, quotas and workload management for Kubernetes and OpenShift without a paid subscription. The release splits into four standalone components: KAI Scheduler, a CUDA 13.4-native GPU Fractioning Operator, KAI Resource Management for projects and quotas, and a Workload Map library. A local development script builds roughly 50 Go services and spins up a five-nod

Why it matters: Teams running shared Kubernetes GPU clusters get a self-hostable, inspectable orchestration stack with scheduling, quota and GPU-fractioning components they can adopt independently.

MarkTechPostOct 19, 2026Score 80
NVIDIARun:aiKubernetes GPU orchestration
Models Editor selected

NVIDIA Releases Nemotron 3.5 Super VL, a 120B Open Multimodal Agent Model

NVIDIA released Nemotron 3.5 Super VL, an open vision-language agent model with 120B total parameters and 12B active per token in a mixture-of-experts design, supporting text, image, document and video input with up to 1M-token context. It ships with an NVFP4 checkpoint runnable on a single DGX Spark, H200 or GB200, plus open datasets, training recipes and RL environments in NeMo Gym under the OpenMDW-1.1 license. NVIDIA-reported results include 89.90 on GPQA-Diamond and 71.07 on SWE-bench Verif

Why it matters: Developers get a concrete, deployable open multimodal agent model with published weights, licensing, hardware requirements and benchmark numbers to weigh against alternatives.

MarkTechPostOct 16, 2026Score 85
NVIDIANemotron 3.5open-weight LLMs
Models Editor selected

NVIDIA Expands Nemotron Family With Open Super VL and Bolt Models

NVIDIA released Nemotron 3.5 Super VL, an open 120-billion-parameter vision-language model aimed at multimodal agentic tasks such as tool use, instruction following and document understanding, along with open weights, datasets and training recipes. It also introduced two edge models, Nemotron 3.5 Bolt 74B-A9B 24GB for local agentic workloads and Bolt E4B 4GB for conversational and physical agents. Super VL and Bolt 74B-A9B are available now, with Bolt E4B due Oct. 23. NVIDIA says several organiz

Why it matters: It gives readers concrete details on three newly released open models spanning data center to edge, including deployment options, availability and enterprise customization efforts.

NVIDIA BlogOct 15, 2026Score 80
NVIDIANemotronopen-weight models
Industry

NVIDIA Announces New Investments in France’s Startups

NVIDIA announced planned investments in Doctolib, Entalpic, Genesis AI and Pigment, covering healthcare agents, materials discovery, physical AI and business planning. The post also details France-based agentic computing deployments, including Bull extending European AI server production to NVIDIA Vera Rubin Ultra NVL72 systems planned for 2028 and the Altair-1 satellite using NVIDIA Jetson AGX Orin modules and Mistral models. It highlights Nemotron open model adoption across French public-secto

NVIDIA BlogOct 13, 2026Score 69
NVIDIAFrance AI ecosystemAgentic computing
Products

Microsoft debuts Surface Laptop Ultra with Nvidia RTX Spark SoC and Windows AI changes

Microsoft held its first live event in two years, announcing the Surface Laptop Ultra, its first device with the Nvidia RTX Spark SoC, starting at $2,599 and shipping October 16. The laptop offers up to 128GB unified memory and Blackwell GPU configurations, aimed at developers and enthusiasts for local AI development and gaming. Microsoft also outlined Windows 11 changes tied to local-AI and agentic workflows.

Ars Technica AIOct 8, 2026Score 71
MicrosoftNvidiaWindows 11
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NVIDIA and Microsoft Bring AI Agents to Windows With RTX Spark PCs and DGX Station

At a Microsoft event in San Francisco, NVIDIA CEO Jensen Huang and Microsoft CEO Satya Nadella detailed co-engineered hardware and software for running AI agents on Windows PCs. Microsoft announced general availability of Microsoft Execution Containers (MXC), OS-level infrastructure for secure, persistent background agents. NVIDIA introduced RTX Spark, putting the full NVIDIA AI stack into Windows laptops and compact desktops, and previewed DGX Station for Windows, a deskside system with 748GB c

Why it matters: It marks a concrete platform shift toward local, agent-ready AI on Windows, with named hardware, software and availability details developers and IT buyers can act on.

NVIDIA BlogOct 8, 2026Score 88
NVIDIAMicrosoft Windowslocal AI inference
Products

OpenAI's GPT-6 Astra Ultrafast Runs on NVIDIA Blackwell GPUs with Up to 8x Faster Token Generation

NVIDIA and OpenAI announced that GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is now available in the OpenAI API and to eligible ChatGPT Work and Codex users. Ultrafast delivers up to 8x faster token generation than Astra Standard mode, aimed at shortening coding agents' edit-test-debug cycles and reducing latency between tool calls. OpenAI says it used its own models to optimize inference software on NVIDIA's programmable platform. The companies describe ongoing collaboration to kee

NVIDIA BlogOct 2, 2026Score 72
OpenAINVIDIAGPT-6 Astra Ultrafast
Industry Editor selected

Nvidia and LG Partner to Develop AI-Powered Humanoid Robots and Next-Gen Data Centers

Nvidia and LG Group have officially announced a strategic partnership to jointly develop AI-driven humanoid robots and next-generation data center infrastructure. By integrating Nvidia’s advanced artificial intelligence capabilities and computing pla<!--autointro-->

AITopic existing contentJun 8, 2026Score 80
humanoid robotsphysical AIautomation
Industry Editor selected

AI Super-Connected Era: Why CPO is the Next Trillion-Dollar Semiconductor Opportunity

Since ChatGPT burst onto the scene at the end of 2022, AI has successively ignited one semiconductor super-cycle after another, involving computing power (GPUs), storage power (memory), and command scheduling power (CPUs), creating multiple trillion-<!--autointro-->

AITopic existing contentJun 4, 2026Score 80
NVIDIACo-Packaged OpticsCPO