JupyterHub: just released on Marketplace

A Kubernetes-compatible application available on the Marketplace integrates PyTorch, a popular deep learning framework, with CUDA support for GPU acceleration, making it suitable for a range of applications including data preprocessing, collaborative research, and deep learning model training. JupyterHub facilitates serving computational environments to multiple users, benefiting teams, academic courses, and research labs by providing interactive coding and visualization for data analysis as well as educational purposes such as teaching programming or data science. The application supports accelerated computing tasks using NVIDIA GPUs and enables prototyping and experimenting with machine learning algorithms, running distributed workloads, and developing AI applications in scalable environments. Users can deploy JupyterHub with PyTorch and CUDA in Nebius AI Managed Service for Kubernetes clusters by following instructions provided in the Marketplace product.

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