Nebius AI is now open to everyone
Nebius AI is now open to everyone
We’re excited to announce that our platform is now officially open to everybody. Whether you are a company or an individual engineer, access the GPU cloud console straight away and start running your machine learning experiments.
Get started by logging in with your Google or GitHub account. You can manage your cloud resources from our splendid console, CLI, by connecting via the API, or by using a Terraform provider.
To make your journey easier, we have prepared pages in the documentation on how to create an account in Nebius AI, set up your billing (including, for example, linking a credit card), and sort out your taxes.
Explore the console and CLI, configure the necessary services, add third-party products — this will create you a perfect workplace environment for data preparation, model training, fine-tuning, and running inference. In case of additional questions, you can contact our technical support directly from the console or via email.
Explore Nebius AI
See also
March was a busy month for us: we opened access to Managed databases, hosted a webinar on Slurm vs Kubernetes, published new handy guides in our documentation and several ML-focused articles on the blog.
Retrieval-augmented generation (RAG) is a technique that enhances language models by combining generative AI with a retrieval component. Let’s examine a quick example of applying RAG in a real-world context.