NVIDIA Accelerates European AI Cloud Ecosystem: Building Sovereign and Secure AI Agent Infrastructure
Summary:NVIDIA announced that its cloud partners are expanding AI compute capacity across Europe, the Nordics, Africa, and Central Asia, focusing on model training, inference, and the development of secure and controllable AI agents. By integrating core technologies such as the NVIDIA DSX platform, Vera Rubin infrastructure, and BlueField DPUs, NVIDIA is helping partners build efficient, energy-saving, and sovereign AI compute environments. Additionally, NVIDIA introduced the OpenShell reference archite
NVIDIA's AI Cloud Infrastructure Expansion in Europe
NVIDIA is expanding its AI compute capacity across Europe, the Nordics, Africa, and Central Asia through its cloud partners. This initiative aims to meet the growing demand for compute resources from AI-native enterprises, support model training and inference, and provide a secure and controllable environment for AI agent development and deployment.
Key Technology Integration
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NVIDIA DSX Platform: By coordinating power allocation with workload requirements, the DSX platform demonstrated a 37% increase in GPU count and nearly 50% higher inference throughput within the same power budget in tests.
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Vera Rubin Infrastructure: Designed for frontier model training and production workloads, it supports enterprises scaling across five European markets.
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NVIDIA BlueField DPU: Ensures security boundaries at the silicon level for AI agents through hardware-accelerated security features.
AI Agent Security Controls
NVIDIA introduced the OpenShell reference architecture, which is built on the NVIDIA OpenShell secure runtime software. This architecture provides organizations with full-stack control to deploy AI agents with clear boundaries. Partners like Aleria, Baseten, and Cassava are supporting this architecture to enable secure agent deployments.
Support for Open Models and Libraries
The NVIDIA AI cloud infrastructure also provides support for open models and libraries, covering the full pipeline from training to inference. For example, Nebius has adopted NVIDIA Groq 3 LPX and integrated it with Vera Rubin NVL72 via Spectrum-X Ethernet networking to offer faster inference speeds for latency-sensitive applications. Additionally, Nebius offers AI cloud solutions for robotics companies and has launched NVIDIA agent blueprints for retail scenarios.
Developer and Industry Impact
NVIDIA's expansion efforts not only provide developers with more powerful compute resources but also drive the deeper application of AI across various industries. For instance, Mistral is expanding its NVIDIA-accelerated computing infrastructure to support model training, customization, and inference, with plans to deploy the NVIDIA Vera Rubin infrastructure in 2027. This will further advance AI in areas such as coding, agent workflows, and multimodal understanding.
Conclusion
Through the expansion of its AI cloud infrastructure, NVIDIA is driving the development of the European AI ecosystem, providing developers, enterprises, and researchers with a more efficient, secure, and sovereign AI compute environment. This not only facilitates the localized application of AI technologies but also ensures the secure deployment of AI agents.
— END —Source: NVIDIA AI News (2026-10-21)
Tags: #NVIDIA #AI Cloud #AI Agents #OpenShell #Vera Rubin
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