
NVIDIA Blog: 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 ag
NVIDIA's cloud partners across Europe are expanding their computing infrastructure to support artificial intelligence development with a focus on three priorities: sovereign computing that keeps data and workloads within the region, open-source models that developers can customize, and security controls for AI agents that limit what they can access and do. These regional AI cloud providers are building full-stack infrastructure using NVIDIA's technology platforms to offer training, inference, and model customization services closer to where European developers work. The expansion addresses demand from AI-native companies that need computing capacity near their data, open models they can modify at scale, and secure systems that keep AI agents operating within defined boundaries.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven
General availability of the instances is coming next month, with planned expansion of availability to Europe — bringing an integrated platform for training, inference and large-scale reinforcement learning to cloud customers. A5X instances bring together NVIDIA Vera Rubin NVL72, NVIDIA ConnectX-9 SuperNICs, Google Cloud Virgo Network and Google Cloud’s fourth-generation advanced liquid-cooling technology for demanding agentic inference and reinforcement learning workloads at scale. Google Cloud

Nebius and Nscale are among global technology partners looking to NVIDIA Vera CPUs to build the next wave of infrastructure. Their momentum reflects rapid advancements in agentic computing. Agents do more than generate answers: they retrieve information, run software tools, execute code and evaluate results. Each step depends on fast CPU processing. Vera accelerates that work, helping agents respond faster and enabling data centers to make better use of computing capacity. Vera is designed to
Tighter integration between the popular open-source platform and Google's specialized processors could lower barriers for researchers training large models.
Also reported by MarkTechPost and SiliconANGLE

Google team have released llm-d 1.0, the first stable version of its distributed inference stack. This open-source, Kubernetes-native layer turns vLLM or SGLang model servers into one coordinated pool. They released it at the PyTorch Conference North America. It targets self-hosted agent and RL workloads, where round-robin load balancing breaks down. TL;DR A serving stack: Google reports a published benchmark on a 17,000-node multi-region GKE deployment. Runs on: Kubernetes with NVID

Google has joined Amazon in releasing a developer tool that makes it easy for PyTorch users to move their apps off Nvidia GPUs.

CoreWeave had a bad week last week. Its bonds slipped into distressed territory by a common definition - when investors demand 1,000 basis points more in yield than they'd get from government bonds. Last Tuesady Chamath "SPAC King" Palihapitiya noticed the distressed debt, and also asked whether the AI buildout was a private credit bubble. Its shares are down more than 20 percent since Tuesday's close, which is kind of a lot! There even seemed to be some collateral damage in th