Nebius monthly digest: March 2025 and NVIDIA GTC

• We gave two tech talks at the conference: one on how we rebuilt our cloud from scratch in just one year, and the other on enabling the agent-first future from an AI R&D perspective. Click the links to watch!

Recognition by third parties and at own eventsRecognition by third parties and at own events

• Nebius received a gold medal in the GPU Cloud ClusterMAX™ Rating System by SemiAnalysis. The company has evaluated us with honesty; there’s still work ahead, but we’re now officially on par with the hyperscalers — even surpassing some of our competitors.

• We wrapped up our first series of technical meetups with stops in Paris, London and San Francisco — each time providing a deep dive into our cloud, as well as our contributions to AI R&D and open source. You can watch San Francisco sessions on YouTube.

Being busy at conferences doesn’t stop us from bringing new releasesBeing busy at conferences doesn’t stop us from bringing new releases

• JupyterLab is now available in our Standalone Applications service. This fully managed offering eliminates infrastructure complexities, allowing you to focus entirely on your AI/ML projects.

• Managed MLflow has become generally available — which means it gains more stability, a newer version of the platform, SLAs and a service fee.

• Nebius and Outerbounds, an AI/ML platform powered by the popular open-source framework Metaflow, are now integrated as part of a broader technology partnership.

• Our cloud has been added to SkyPilot as well. SkyPilot is an open-source framework that simplifies running AI and batch workloads across cloud platforms.

Let’s not forget about new blog posts and tech docs updatesLet’s not forget about new blog posts and tech docs updates

• Speeding up compute is critical to push the boundaries of science. Check out how NVIDIA Hopper GPUs performed against CPU workflows to accelerate homology research, deep learning-enabled protein embeddings and ML clustering approaches.

• In his blog post, our senior Senior ML Solutions Architect Akim Tsvigun demonstrates how to fine-tune an LLM using Nebius AI Studio with a function-calling task as a running example.

• We’ve finished covering web console’s monitoring dashboards in the documentation. Learn about dashboards and metrics for Object Storage buckets and Managed MLflow clusters.

• Nebius’s open-source solution for combining Slurm and Kubernetes, Soperator, got its own documentation. Now you can learn more about Soperator, read how to connect to nodes, manage Slurm users, run jobs and monitor them.

• Read how to use applications in Nebius AI Cloud — a standalone ones and applications for Managed Kubernetes.

• Learn what notifications Nebius can send you and how to manage them.

• We expanded networking in Managed Kubernetes with add-ons installed by default, how you can configure them and how to set up the NodeLocal DNSCache feature.

• Nebius AI Studio docs now explain how to host a model and how to integrate AI Studio with Portkey.