Latest AI updates

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 detailed AI-driven autonomous factory work with NVIDIA, and NVIDIA researchers ran a 104-qubit fault-tolerant quantum simulation on the JUPITER supercomputer.

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 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-node Kind cluster with eight simulated A10 GPUs, so no hardware is required. The free community edition does not include NVIDIA enterprise support.

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.

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.

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 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 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-->

NVIDIA and Doosan Group Expand Collaboration to Advance Physical AI, Robotics, and AI Factory Infras

NVIDIA and Doosan Group are expanding their collaboration to advance new opportunities in physical AI, robotics, and AI factory infrastructure. The partnership spans multiple Doosan entities, including Doosan Robotics, Doosan Bobcat, Doosan Enerbilit<!--autointro-->

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-->

Jim Cramer: Nvidia&#039;s Computex Keynote Reveals AI Market Winners &amp; Dispels Bubble Fears

📈&nbsp;Jim Cramer: Jensen Huang’s Computex Keynote Unveils New Winners in the AI BoomNvidia CEO Jensen Huang delivered a resounding success with his highly anticipated Computex keynote, powerfully arguing that computing power serves as the ultimate p<!--autointro-->

NVIDIA GTC 2026: Jensen Huang Unveils Alpamayo 2 Super, Vera CPU, and DSX AI Factory Blueprint

🚗 NVIDIA Unveils Alpamayo 2 Super: The Autonomous Driving &quot;Black Box&quot; is Finally Opened&quot;Alpamayo marks the era where vehicles transition from &#39;simply driving&#39; to &#39;safe reasoning,&#39;&quot; Jensen Huang declared at the NVID<!--autointro-->

NVIDIA AI Factory: Turning Electricity into Intelligence &amp; The Rise of Agentic AI Economics

🏭 NVIDIA Defines the &#39;AI Factory&#39;: New Infrastructure Turning Electricity into IntelligenceNVIDIA has introduced the groundbreaking concept of the&nbsp;&quot;AI Factory,&quot;&nbsp;defining it as a &quot;Token Factory&quot; that converts elec<!--autointro-->

AI Chip Cost Shift: HBM Memory Now Accounts for 63% of Component Spending

The cost pressure in the AI chip industry is shifting from &quot;who has the most powerful logic chip&quot; to &quot;who can secure enough high-bandwidth memory (HBM) at a reasonable price.&quot;According to estimates released by Epoch AI on May 21, <!--autointro-->

NVIDIA Unveils Space Computing Platform with Space-1 Vera Rubin Module to Power Orbital AI

📰 Press Release: NVIDIA Brings AI to Orbit with New Space Computing PlatformSAN JOSE, Calif. — GTC — March 16, 2026&nbsp;— NVIDIA today announced the dawn of a new era in space innovation with its latest generation of accelerated computing platforms.<!--autointro-->