Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
SERVICES YOU CAN LAUNCH WITH THE 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.
- Instant Access: Launch JupyterLab notebooks immediately with no setup required
- Seamless GPU Integration: Run notebooks directly on GPUs for model training, testing, and inference
- AI/ML-Ready Environments: Pre-configured libraries and persistent storage simplify data preparation and prototyping
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.
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Enable secure, multi-user access with reproducibility and version control.
Deliver compliant, notebook services aligned with data residency and governance requirements
Featured Resources
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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.”
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White paper
Hybrid Cloud Meets Kubernetes
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
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