Blog

Skip the CLI commands and web console clicks — just ask Claude about your cloud infrastructure. Today, we’re excited to announce the Nebius MCP Server, our integration that connects Claude by Anthropic, or other AI chatbots, to the Nebius AI Cloud infrastructure.

Welcome back to our quarterly roundup featuring all the improvements and updates delivered on Nebius AI Cloud over the past three months. This overview highlights the key developments we’ve made to enhance your AI infrastructure experience.

We kicked off Q2 with a single mission: turn raw compute horsepower into concrete business outcomes. With numerous launches, including groundbreaking models, streamlined fine-tuning, scalable throughput and seamless integrations, Nebius AI Studio has been updated significantly.

Managed Soperator, our fully managed Slurm-on-Kubernetes solution, is now available for everyone in self-service. It provides you with a ready-to-work Slurm training cluster, powered by modern hardware and delivered with all necessary pre-installed libraries and drivers — allowing you to start ML training immediately.

Today, we’re thrilled to announce our first submission of MLPerf® Training v5.0 results. As a peer-reviewed industry benchmark suite, MLPerf® Training by MLCommons® is one of the most trustworthy sources of data about AI cloud performance in the industry.

In the past weeks, we have made several significant observability-related improvements to the Nebius AI Cloud. Among them: advanced monitoring metrics in our web console and API, out-of-the-box Grafana dashboards, as well as monitoring and logging features, allowing customers to upload their custom metrics and logs to our cloud.

Audit Logs is a new feature, now available in preview in Nebius AI Cloud. With Audit Logs, our customers can improve their accountability, security and ensure compliance with regulatory requirements.

We’ve had a very productive first quarter of 2025 at Nebius AI Studio, shipping major features, adding powerful new models and significantly expanding our infrastructure. This comprehensive roundup covers everything we’ve launched and where you can find us next.

If you work with personal data and need to store it in the cloud, you have to choose a cloud provider that offers appropriate storage. If you’re wondering whether our cloud can store and process personal user data, the answer is yes. Our platform ensures the secure storage of personal data, in full compliance with applicable regulations. But what does that mean in practice? Let’s break it down.

The increasing adoption of AI cloud solutions highlights the need for efficient, vendor-independent orchestration tools. dstack provides an open-source, AI-focused orchestration platform that emphasizes flexibility and ease of use for AI development. We are announcing an integration with dstack to enhance the developer experience for professional ML teams. You can now choose Nebius in dstack and start managing dev environments, executing training jobs and deploying models on our AI infrastructure.

Nebius AI Cloud is collaborating with NVIDIA Inception, a leading program for AI startups with over 22,000 members, to accelerate AI startup innovation. Nebius’ AI Lift program — announced at NVIDIA GTC 2025 — offers eligible NVIDIA Inception members up to $150,000 in cloud credits, access to AI technical expertise and support and a range of other exclusive benefits.

The end of the quarter is a great time to reflect and share a kind of changelog with you, highlighting what’s improved in Nebius AI Cloud over the past three months. This quarter, we launched new regions, released new services for MLOps and enhanced our existing product lineup to minimize your infrastructure concerns even further.