The global demand for artificial intelligence infrastructure is increasing rapidly. To meet this demand, NVIDIA and Nebius Group N.V. have announced a strategic partnership to build the next generation of full-stack AI cloud infrastructure.
This collaboration aims to support startups, developers, and enterprises that rely on high-performance computing for building advanced AI models. As part of the agreement, NVIDIA will invest $2 billion in Nebius, highlighting its strong confidence in Nebius’s engineering expertise and AI-focused cloud platform.
Growing Demand for AI Infrastructure
Artificial intelligence applications are expanding across industries such as finance, healthcare, research, and automation. These applications require powerful computing systems that can process massive amounts of data quickly.
Through this partnership, Nebius will expand its AI infrastructure globally using NVIDIA’s advanced accelerated computing technologies. The goal is ambitious: deploy more than 5 gigawatts of NVIDIA-powered AI systems by 2030.
This large-scale infrastructure will allow companies to train AI models faster, run complex workloads efficiently, and deliver AI services at a much larger scale.
Building AI Factories for the Future
A key part of the collaboration is the development of AI factories. These are specialized data centers designed specifically for artificial intelligence workloads rather than general computing tasks.
Nebius will receive early access to NVIDIA’s next-generation computing platforms, including the NVIDIA Rubin platform, NVIDIA Vera CPU, and NVIDIA BlueField storage systems.
These technologies will help Nebius build advanced AI environments that support:
- Large-scale AI model training
- Faster data processing
- Efficient AI inference systems
- Scalable cloud infrastructure for developers
The companies will also collaborate on system design, engineering support, and performance optimization to ensure the infrastructure runs smoothly and efficiently.
Focus on Inference and Agentic AI
Another major goal of this partnership is to strengthen AI inference capabilities. Inference is the stage where trained AI models generate predictions or perform tasks in real time.
With NVIDIA’s optimized software libraries and AI tools, Nebius plans to create a powerful ecosystem for developers. This will allow businesses to build and deploy AI solutions more easily.
The collaboration will also support the development of agentic AI, a new generation of AI systems that can make decisions, automate processes, and perform complex tasks independently.
AI-First Cloud vs Traditional Cloud
| Feature | Traditional Cloud | AI-First Cloud |
|---|---|---|
| Infrastructure Design | Built for general computing | Designed specifically for AI workloads |
| Performance for AI | Moderate | High-performance computing |
| Model Training | Slower scaling | Optimized for large AI models |
| AI Deployment | Limited support | Strong focus on inference and automation |
This difference shows why AI-focused cloud platforms are becoming increasingly important for companies building modern AI systems.
The Future of AI Cloud Computing
According to Jensen Huang, the AI industry is entering a new phase driven by agentic AI, which requires enormous computing power and advanced infrastructure.
Meanwhile, Arkady Volozh explained that Nebius was designed from the beginning as an AI-first cloud platform. With NVIDIA’s support, the company plans to expand its infrastructure and become one of the leading AI cloud providers for developers around the world.
As artificial intelligence continues to evolve, partnerships like this will play a critical role in building the technology foundation that powers the next generation of AI innovation.
