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NVIDIA highlights how its European cloud partners — including Nscale, Crusoe, Nebius, Vultr, G42 and others — are scaling sovereign AI infrastructure built on Vera Rubin and the DSX platform, adding capacity, power-efficient inference and open-model support across Europe, the Nordics, Africa and Central Asia.
欧洲工业巨头正与 NVIDIA 合作，利用 CUDA-X、Omniverse、Cosmos 和 Nemotron 等技术革新工程与制造流程，并推出工厂运营蓝图 FOX，西门子、梅赛德斯-奔驰、Cadence 和 Autodesk 等企业已采用相关方案以提升生产力并降低成本。
NVIDIA cuDSS, a CUDA-X library for GPU-accelerated sparse linear system solving, is now generally available, with adoption by Applied Materials, COMSOL, Cadence, Dassault Systèmes, Siemens, and Synopsys to speed up engineering and scientific simulations by up to 10x.
NVIDIA expands its Confidential Computing layer with Confidential Bare Metal, new platform security controls, and support across Grace Blackwell and Rubin systems, letting frontier model builders securely run sensitive workloads on third-party infrastructure while retaining control of their models and data.
NVIDIA expands its open source Agent Toolkit with the new Agent Knowledge Foundation, adding CUDA-X libraries, Auto-Ontology, Nemotron Retriever and the Kumo family of structured-data models, alongside OpenShell runtime and NemoClaw blueprints, to help enterprises ground AI agents in proprietary company data with governance controls. Early adopters include Palantir, Databricks, Snowflake and Amazon OpenSearch Service.
NVIDIA announced an expanded family of open models across language, robotics, biology and quantum computing—including Nemotron 3.5 Super VL/Bolt, Nemotron Retriever, Kumo, Cosmos 3.5, Alpamayo 2 Edge, BioNeMo and Ising—to help European organizations build sovereign, locally customized AI applications.
NVIDIA推出了装在集装箱里的超级计算机DSX POD，内部布线达17公里，单个容器可提供1GW算力，装机成本约500亿美元，预计年收入达400亿美元。
在 GTC Berlin 2026 主题演讲中，NVIDIA CEO 黄仁勋宣布 DSX POD 与 DSX AI 工厂平台等新品，强调欧洲在 AI 经济中的角色，并将智能体（agents）视为新的计算平台。
NVIDIA participated in 84 rounds of AI funding, roughly double that of 2024, through investments, acquisitions, open models, and optimizing models from other labs, continuously reinforcing its niche across the entire AI tech stack — making its competitors face an entire ecosystem rather than a single company.
Video analysis of NVIDIA's $12.9 billion acquisition of Hugging Face — its largest acquisition ever, consolidating ecosystem control by acquiring the AI's "GitHub" in response to major customers developing their own chips to bypass NVIDIA.
ByteDance, Alibaba, and Tencent have placed over $35 billion worth of Nvidia chip orders, highlighting massive Chinese demand for advanced AI hardware despite export restrictions.
Jensen Huang advises German Chancellor Friedrich Merz on balancing AI innovation with regulation, warning that excessive regulation could stifle the German AI industry before it can thrive.
Google released TorchTPU as an open source project, letting developers run native PyTorch apps on its TPUs without rewriting code, joining Amazon's TorchNeuron in challenging Nvidia's dominance over AI chip software tooling.
NVIDIA 发布 Cosmos3-H-Dreams，这是首个基于临床腹腔镜胆囊切除手术记录训练、支持实时运动学控制的交互式生成式手术模拟器，可在单块 NVIDIA RTX PRO 6000 GPU 上流畅运行。
Ujval Kapasi of NVIDIA delivers a PyTorchCon 2026 keynote on what agentic workloads demand from the PyTorch stack, using NVIDIA Vera Rubin as a case study for hardware-software co-design across CPUs, GPUs, memory, and networking, covering optimizations in PyTorch, Triton, and vLLM.
Nvidia 投资了四家德国初创公司（Agile Robots、Avelios Medical、Mirelo、Reflex Aerospace），作为其近100亿美元欧洲AI基础设施承诺的一部分，并在柏林Invest in Germany峰会上与德国政府及西门子、奔驰达成工业AI合作。
European AI cloud providers and server manufacturers are adopting NVIDIA's Vera CPUs to build local, sovereign AI infrastructure optimized for agentic workloads, with early adopters reporting strong performance across data processing, analytics, and agent sandbox environments.
西班牙巴塞罗那超级计算中心（BSC）的AI Factory加速器计划正式投入运营，多家初创企业借助NVIDIA Inception计划与MareNostrum 5超算资源，在医疗、水务、制药等领域推出AI创新应用。
Tweets highlight long queues at the RTX Spark official launch in San Francisco, where demos built with the ODS software running a local model (Qwen 3.8 Next Flash) are being showcased.
Nvidia CEO Jensen Huang said he would cut off chip supply to customers building unsafe AI, while committing $250 million over five years to UK-based AI safety research at institutions including Oxford and UCL.