JupyterLab®: The first app in our new service for AI development

Nebius has launched a simplified AI development platform by integrating JupyterLab into their Standalone Applications service, eliminating the need for complex infrastructure management like Kubernetes configuration. This fully managed offering, now available on NVIDIA GPUs, allows users to deploy JupyterLab with ease, providing a seamless development experience that supports quick data analysis, prototyping, and model evaluation. JupyterLab, a vital tool for ML engineers and data scientists, is highlighted for its ability to combine code execution, text, and visualizations in a flexible web-based interface. The initial release offers features such as a pre-configured PyTorch framework, persistent storage, and easy package management, though it has some limitations regarding runtime and instance numbers. With a starting price of $2.95 per hour for the NVIDIA H100 GPU configuration, Nebius aims to further enhance this service by adding more AI applications, improving integration, and expanding collaboration features. The goal is to streamline the AI development process, allowing professionals to concentrate on innovative problem-solving and solution-building.

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