How are European AI clouds building sovereign infrastructure for safe AI agents?

Sovereign compute grows across five regions

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. The company supports 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. The goal is 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. The build-out spans Europe. It also reaches the Nordics, Africa and Central Asia.

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

Open models move from training to 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 and RoboForce are building on the platform. Sereact is also building there.

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. The facility supports plans for enterprise AI solutions in financial services and insurance. Life sciences are also targeted.

Mistral is expanding its NVIDIA accelerated computing infrastructure to support model training. It also supports 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. The model advances capabilities across coding and agentic workflows. Multimodal understanding also improves.

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

Security architecture sets boundaries for AI agents

Announced at GTC Berlin, the NVIDIA OpenShell Reference Architecture arrives with support from AI cloud ecosystem partners. Built on the foundation of NVIDIA OpenShell 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.

Three hardware layers each play a distinct role. NVIDIA Vera Rubin NVL72 handles model inference. NVIDIA Vera CPUs with OpenShell manage agent harnesses and tool use. NVIDIA BlueField-4 DPUs running NVIDIA Sentry provide in-silicon enforcement. The layers work together so agents can achieve what they're meant to do without moving beyond the boundaries people set for them.

Partners including Aleria, Baseten, Cassava, CoreWeave, Crusoe, DigitalOcean, Firebird, Fireworks, Firmus, G42, GMI Cloud, IREN, Lambda, Lightning AI, Nebius, Nscale, Radiant, Verda and Vultr are supporting the OpenShell Reference Architecture. The support enables secure agentic deployments for their customers.

What the expansion changes for developers

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. The document does not say how many of the announced systems are already operational versus planned. It also does not disclose pricing for any of the new services or infrastructure tiers. Control matters.