JupyterHub is a multi user server for Jupyter notebooks, providing a collaborative environment for data science, machine learning and scientific computing. This Kubernetes® compatible application includes NVIDIA BioNeMo Framework. NVIDIA BioNeMo Framework is a collection of programming tools, libraries and models for computational drug discovery. It accelerates the most time consuming and costly stages of building and adapting biomolecular AI models by providing domain specific, optimized models and tooling that are easily integrated into GPU based computational resources for the fastest performance on the market. You can deploy JupyterHub with NVIDIA BioNeMo Framework in your Nebius Managed Service for Kubernetes clusters.
Deploy JupyterHub BioNeMo environment on Kubernetes via Helm.
Start notebook sessions prepared for BioNeMo workflows.
Support shared, reproducible environments for research teams.
Run biology-focused model development with GPU-backed resources.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy JupyterHub with BioNeMo Framework on Kubernetes.
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead
Learn about Nebius AI CloudNebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.
Explore the Trust centerApplication support
Provided by Nvidia. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
