NVIDIA Cloud Partners Scale Across Europe — Sovereign, Open and Built for Safe AI Agents

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.

NVIDIA Cloud Partners 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.

Together, they’re turning Europe’s energy, data, research and industrial expertise into productive intelligence — supporting new models, applications, organizations and jobs while giving people more control over where and how they develop and deploy AI.

Sovereign: AI Clouds Building European AI Infrastructure

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.

As AI factories scale, power becomes a constraint which makes it critical for every watt to produce more intelligence. Nscale is using the NVIDIA DSX Platform 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.

Nscale 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.

Crusoe 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 Base44, Gradium, LTX and Wonderful.

Aleria, Cassava Technologies , Firebird , G42 , Radiant, SWI Compute and Vultr are also developing and expanding NVIDIA-powered AI infrastructure across Europe, the Nordics, Africa and Central Asia.

Regional capacity from AI clouds combines the full-stack NVIDIA DSX AI Factory platform , including NVIDIA Vera Rubin, NVIDIA BlueField and NVIDIA Spectrum-X Ethernet networking, giving customers greater choice and control over where workloads and data reside while advancing sovereign computing services and economic growth.

Open: Models and Libraries, From Training to Inference

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.

For production inference, Nebius has adopted NVIDIA Groq 3 LPX, using Spectrum-X Ethernet networking to integrate it with Vera Rubin NVL72 on Nebius Token Factory. The combination will bring faster token generation to latency-sensitive applications and agentic systems through the platform’s managed serverless and dedicated endpoints and familiar application programming interfaces.

For robotics and physical AI, Nebius offers a purpose-built AI cloud solution that includes its full-stack Physical AI Workbench. Robotics companies including Rhoda AI , RoboForce and Sereact are building on the platform. The company also launched three NVIDIA retail agent blueprints — covering inventory, store operations, and fine-tuning —- into early access on Nebius infrastructure.

Nebius 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.

Baseten has developed a specialized model for code-review routing with Nemotron 3.5 Lightning used by CodeRabbit. Through supervised fine-tuning and reinforcement learning, CodeRabbit 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.

Fireworks and Era4 are partnering to bring open models to enterprises across the U.K. and Europe. The collaboration combines Fireworks ’ model training and inference platform with direct liquid-cooled capacity powered by NVIDIA Blackwell Ultra GPUs at Era4’s Chesterfield facility, supporting plans for enterprise AI solutions in financial services, insurance and life sciences.

Mistral 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 Mistral -operated European data centers, Mistral Large 4 is the company’s latest frontier multimodal model, advancing capabilities across coding, agentic workflows and multimodal understanding.

Verda plans to deploy NVIDIA Vera Rubin, continuing to promote open weight models with NVIDIA Nemotron and NVIDIA Cosmos already in production, and using the NVIDIA Dynamo open source framework for inference optimization.

Safe: Secure Boundaries for AI Agents, From Silicon to Software

As developers connect models to tools and business systems, they also need controls over what agents can access and do.