Rafay-Powered Jupyter Notebooks as a Service | Rafay Platform

Rafay-Powered Jupyter Notebooks as a Service (JNBaaS)

Rafay-powered Jupyter Notebooks as a Service (JNBaaS) allows providers and enterprises to offer governed, on-demand JupyterLab environments for data science, AI, and ML teams. Developers and researchers often face delays in provisioning GPU-backed environments or managing dependencies.

Rafay eliminates these challenges by offering instant, fully managed Jupyter notebooks equipped with pre-installed AI/ML libraries, GPU access, and built-in collaboration tools.

Service providers, enterprises, and sovereign cloud operators can deliver ready-to-use, GPU-enabled notebook workspaces that accelerate experimentation and improve productivity.

Simplify and Automate AI/ML Experimentation

Rafay automates how teams access, share, and manage GPU-powered notebook environments—removing operational friction from model development.

Pre-Configured Environments

PyTorch, TensorFlow, CUDA, and other frameworks are ready to use out of the box.

Persistent Storage

Maintain consistent access to datasets and results for reproducible workflows.

Collaboration Controls

Enable secure notebook sharing with role-based access and team visibility.

Integrated Governance

Ensure compliance, traceability, and consistent policies across all environments.

Accelerate Experimentation and Improve Resource Utilization

Move from concept to GPU-backed experimentation in seconds, accelerating AI/ML projects.

Monetize notebooks as value-added SKUs to increase utilization per GPU.

Enable secure, multi-user access with reproducibility and version control.

Deliver compliant, notebook services aligned with data residency and governance requirements.

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“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
— Joe Vaughan, Chief Technology Officer, MoneyGram

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