{"id":137108,"date":"2026-10-21T10:30:41","date_gmt":"2026-10-21T10:30:41","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=99232"},"modified":"2026-10-21T10:30:41","modified_gmt":"2026-10-21T10:30:41","slug":"nvidia-cloud-partners-scale-across-europe-sovereign-open-and-built-for-safe-ai-agents-2","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-cloud-partners-scale-across-europe-sovereign-open-and-built-for-safe-ai-agents-2\/","title":{"rendered":"NVIDIA Cloud Partners Scale Across Europe \u2014 Sovereign, Open and Built for Safe AI Agents"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div><p><span style=\"font-weight: 400;\">Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. Developers need compute closer to their data, open models they can customize and serve at scale, and full-stack infrastructure that is secure by design.\u00a0<\/span><\/p>\n<p><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/gpu-cloud-computing\/partners\/\"><span style=\"font-weight: 400;\">NVIDIA Cloud Partners<\/span><\/a><span style=\"font-weight: 400;\"> across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for model training and inference, helping developers build agentic and physical AI applications, and establishing boundaries around what agents can access and do.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Together, they\u2019re turning Europe\u2019s energy, data, research and industrial expertise into productive intelligence \u2014 supporting new models, applications, organizations and jobs while giving people more control over where and how they develop and deploy AI.<\/span><\/p>\n<div style=\"margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;\"><a style=\"display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;\" href=\"https:\/\/blogs.nvidia.com\/gtc-berlin-2026-news\/\">Read All NVIDIA in Europe Announcements<\/a><\/div>\n<div><\/div>\n<p>&nbsp;<\/p>\n<h2><strong>Sovereign: AI Clouds Building European AI Infrastructure<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Europe is home to world-class research, engineering talent, industrial expertise, data, the next generation of models and applications that requires large-scale computing close to where that knowledge resides. Regional AI clouds provide the infrastructure foundation on which model builders, enterprises and entire industries can grow.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As AI factories scale, power becomes a constraint which makes it critical for every watt to produce more intelligence. <\/span><span style=\"font-weight: 400;\">Nscale<\/span><span style=\"font-weight: 400;\"> is using the <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/products\/dsx\/maxlps\/\"><span style=\"font-weight: 400;\">NVIDIA DSX Platform<\/span><\/a><span style=\"font-weight: 400;\"> to coordinate power allocation with workload requirements. In tests using NVIDIA GB300 NVL72 systems, Nscale demonstrated that NVIDIA DSX MaxLPS enabled 37% more GPUs and nearly 50% higher aggregate inference throughput within the same provisioned power budget.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nscale<\/span><span style=\"font-weight: 400;\"> also plans to deploy NVIDIA Vera Rubin infrastructure for frontier-model training and production workloads to support leading model and application builders using its full-stack, vertically integrated platform with expansion across five European markets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Crusoe<\/span><span style=\"font-weight: 400;\"> is developing Spark, its liquid-cooled modular AI factories designed for the NVIDIA Vera Rubin platform, to bring Crusoe Cloud capacity closer to users for low-latency AI inference. Crusoe Cloud serves leading model and application builders across EMEA, including <\/span><span style=\"font-weight: 400;\">Base44, Gradium, LTX and Wonderful.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Aleria,<\/span> <span style=\"font-weight: 400;\">Cassava Technologies<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Firebird<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">G42<\/span><span style=\"font-weight: 400;\">,<\/span><span style=\"font-weight: 400;\"> Radiant, <\/span><span style=\"font-weight: 400;\">SWI Compute<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">Vultr<\/span><span style=\"font-weight: 400;\"> are also developing and expanding NVIDIA-powered AI infrastructure across Europe, the Nordics, Africa and Central Asia.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Regional capacity from AI clouds combines the full-stack <\/span><a  href=\"https:\/\/nvidianews.nvidia.com\/news\/european-ecosystem-builds-worlds-most-efficient-ai-factories-with-nvidia-dsx\"><span style=\"font-weight: 400;\">NVIDIA DSX AI Factory platform<\/span><\/a><span style=\"font-weight: 400;\">, including NVIDIA Vera Rubin, <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/networking\/products\/data-processing-unit\/\"><span style=\"font-weight: 400;\">NVIDIA BlueField<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/networking\/spectrumx\/\"><span style=\"font-weight: 400;\">NVIDIA Spectrum-X Ethernet<\/span><\/a><span style=\"font-weight: 400;\"> networking, giving customers greater choice and control over where workloads and data reside while advancing sovereign computing services and economic growth.\u00a0<\/span><\/p>\n<h2><strong>Open: Models and Libraries, From Training to Inference\u00a0<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Across the ecosystem, AI clouds are expanding NVIDIA-powered infrastructure and services for developers to build applications with open models and libraries. This new capacity supports model training, fine-tuning for specialized tasks and inference at scale, including applications deployed at the edge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For production inference, <\/span><span style=\"font-weight: 400;\">Nebius<\/span><span style=\"font-weight: 400;\"> has adopted NVIDIA Groq 3 LPX, using Spectrum-X Ethernet networking to integrate it with Vera Rubin NVL72 on <\/span><span style=\"font-weight: 400;\">Nebius<\/span><span style=\"font-weight: 400;\"> Token Factory. The combination will bring faster token generation to latency-sensitive applications and agentic systems through the platform\u2019s managed serverless and dedicated endpoints and familiar application programming interfaces.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For robotics and physical AI, <\/span><span style=\"font-weight: 400;\">Nebius<\/span><span style=\"font-weight: 400;\"> offers a purpose-built AI cloud solution that includes its full-stack Physical AI Workbench. Robotics companies including <\/span><span style=\"font-weight: 400;\">Rhoda AI<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">RoboForce<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">Sereact<\/span><span style=\"font-weight: 400;\"> are building on the platform. The company also launched three NVIDIA retail agent blueprints \u2014 covering inventory, store operations, and fine-tuning \u2014- into early access on Nebius infrastructure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nebius <\/span><span style=\"font-weight: 400;\">is expanding its cloud services widely across the continent with its Physical AI Living Lab, and in Germany as a computer supplier for the Next Frontier Challenge of SPRIND, the Federal Agency for Breakthrough Innovation.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Baseten<\/span><span style=\"font-weight: 400;\"> has developed a specialized model for code-review routing with Nemotron 3.5 Lightning used by<\/span><span style=\"font-weight: 400;\"> CodeRabbit.<\/span><span style=\"font-weight: 400;\"> Through supervised fine-tuning and reinforcement learning, <\/span><span style=\"font-weight: 400;\">CodeRabbit <\/span><span style=\"font-weight: 400;\">improved routing agreement from 75.8% to 80.7% while reducing estimated inference costs by 50% for the evaluated workload. The results demonstrate how AI developers can customize NVIDIA open models for specialized tasks while improving accuracy and inference efficiency.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Fireworks<\/span><span style=\"font-weight: 400;\"> and <\/span><span style=\"font-weight: 400;\">Era4<\/span><span style=\"font-weight: 400;\"> are partnering to bring open models to enterprises across the U.K. and Europe. The collaboration combines <\/span><span style=\"font-weight: 400;\">Fireworks<\/span><span style=\"font-weight: 400;\">\u2019 model training and inference platform with direct liquid-cooled capacity powered by NVIDIA Blackwell Ultra GPUs at <\/span><span style=\"font-weight: 400;\">Era4\u2019s<\/span><span style=\"font-weight: 400;\"> Chesterfield facility, supporting plans for enterprise AI solutions in financial services, insurance and life sciences.<\/span><\/p>\n<p><a  href=\"https:\/\/mistral.ai\/news\/mistral-nvidia-ai-for-industrial-engineering\"><span style=\"font-weight: 400;\">Mistral<\/span><\/a><span style=\"font-weight: 400;\"> is expanding its NVIDIA accelerated computing infrastructure to support model training, customization and inference. The expansion includes NVIDIA Vera Rubin infrastructure planned for delivery in 2027. Trained on 3,800 NVIDIA Grace Blackwell GPUs in <\/span><span style=\"font-weight: 400;\">Mistral<\/span><span style=\"font-weight: 400;\">-operated European data centers, <\/span><span style=\"font-weight: 400;\">Mistral<\/span><span style=\"font-weight: 400;\"> Large 4 is the company\u2019s latest frontier multimodal model, advancing capabilities across coding, agentic workflows and multimodal understanding.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Verda<\/span><span style=\"font-weight: 400;\"> plans to deploy NVIDIA Vera Rubin, continuing to promote open weight models with <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/foundation-models\/nemotron\/\"><span style=\"font-weight: 400;\">NVIDIA Nemotron<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai\/cosmos\/\"><span style=\"font-weight: 400;\">NVIDIA Cosmos<\/span><\/a><span style=\"font-weight: 400;\"> already in production, and using the <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/ai\/dynamo\/\"><span style=\"font-weight: 400;\">NVIDIA Dynamo<\/span><\/a><span style=\"font-weight: 400;\"> open source framework for inference optimization.<\/span><\/p>\n<h2><strong>Safe: Secure Boundaries for AI Agents, From Silicon to Software<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">As developers connect models to tools and business systems, they also need controls over what agents can access and do.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Announced at GTC Berlin, the <\/span><a  href=\"https:\/\/nvidianews.nvidia.com\/news\/openshell-reference-architecture\"><span style=\"font-weight: 400;\">NVIDIA OpenShell Reference Architecture<\/span><\/a><span style=\"font-weight: 400;\"> with support from AI cloud ecosystem partners. Built on the foundation of <\/span><a  href=\"https:\/\/build.nvidia.com\/openshell\"><span style=\"font-weight: 400;\">NVIDIA OpenShell<\/span><\/a><span style=\"font-weight: 400;\"> secure runtime software, the architecture is designed to give organizations full-stack control to deploy AI agents with clear boundaries around what agents can access and do.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">NVIDIA Vera Rubin NVL72 for model inference, <\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/vera-cpu\/\"><span style=\"font-weight: 400;\">NVIDIA Vera CPUs<\/span><\/a><span style=\"font-weight: 400;\"> with OpenShell for agent harnesses and tool use, and NVIDIA BlueField-4 DPUs running NVIDIA Sentry for in-silicon enforcement. Each play a distinct role in delivering that control, working together so agents can achieve what they\u2019re meant to do without moving beyond the boundaries people set for them.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Partners including <\/span><span style=\"font-weight: 400;\">Aleria<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Baseten<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Cassava<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">CoreWeave<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Crusoe<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">DigitalOcean<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Firebird<\/span><span style=\"font-weight: 400;\">, Fireworks, <\/span><span style=\"font-weight: 400;\">Firmus<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">G42<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">GMI Cloud<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">IREN<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Lambda<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Lightning AI,<\/span> <span style=\"font-weight: 400;\">Nebius<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">Nscale<\/span><span style=\"font-weight: 400;\">, Radiant <\/span><span style=\"font-weight: 400;\">Verda<\/span> <span style=\"font-weight: 400;\">and <\/span><span style=\"font-weight: 400;\">Vultr<\/span><span style=\"font-weight: 400;\"> are supporting the OpenShell Reference Architecture to enable secure agentic deployments for their customers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Together, European AI clouds are connecting regional infrastructure investment with the work of building and deploying AI. Expanded capacity gives builders more places to run workloads. Model and inference services help them put that capacity to use. Agent controls address what applications are allowed to do as they move into production.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Explore<\/span><a  href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/gpu-cloud-computing\/partners\/\"><span style=\"font-weight: 400;\"> NVIDIA Cloud Partners<\/span><\/a><span style=\"font-weight: 400;\"> for infrastructure and services, and the<\/span><a  href=\"https:\/\/nvidianews.nvidia.com\/news\/openshell-reference-architecture\"><span style=\"font-weight: 400;\"> OpenShell Reference Architecture<\/span><\/a><span style=\"font-weight: 400;\"> for agent deployment controls.<\/span><\/p>\n<div style=\"margin: 0 !important; padding: 0 !important; text-align: center; line-height: 1;\"><a style=\"display: inline-flex; align-items: center; justify-content: center; margin: 0 !important; padding: 10px !important; background-color: #76b900; color: #ffffff !important; font-family: 'NVIDIA Sans', Arial, sans-serif; font-size: 16px; font-weight: bold; line-height: 1 !important; text-align: center; text-decoration: none !important; white-space: nowrap; vertical-align: top;\" href=\"https:\/\/blogs.nvidia.com\/gtc-berlin-2026-news\/\">Read All NVIDIA in Europe Announcements<\/a><\/div>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. Developers need compute closer to their data, open models they can customize and serve at scale, and full-stack infrastructure that is secure by design.\u00a0 NVIDIA Cloud Partners across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for [\u2026]<\/p>\n","protected":false},"author":627,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[343],"tags":[13704,35,5898,13705,13681,13590,13723,7512,13709,13711,13731],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA Cloud Partners Scale Across Europe \u2014 Sovereign, Open and Built for Safe AI Agents - WebDomino.NET<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-cloud-partners-scale-across-europe-sovereign-open-and-built-for-safe-ai-agents-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Cloud Partners Scale Across Europe \u2014 Sovereign, Open and Built for Safe AI Agents - WebDomino.NET\" \/>\n<meta property=\"og:description\" content=\"Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. 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