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
Rafay automates how teams access, share, and manage GPU-powered notebook environments—removing operational friction from model development.
PyTorch, TensorFlow, CUDA, and other frameworks are ready to use out of the box.
Maintain consistent access to datasets and results for reproducible workflows.
Enable secure notebook sharing with role-based access and team visibility.
Ensure compliance, traceability, and consistent policies across all environments.
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Aviz ONES, NVIDIA Spectrum-X Ethernet, and the Rafay Platform deliver a unified solution turning GPU fabrics into governed, cloud-native environments, instantly consumable.
Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
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“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
Learn how to accelerate the ROI of your GPU infrastructure by quickly delivering a fully functional GPU Cloud with the self-service workflows and infrastructure orchestration of the Rafay Platform.
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This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"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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As a sponsor of Gartner IOCS 2025, Rafay highlights why modern I&O needs a platform operating model to keep pace with cloud-native and AI workloads.
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The Rafay Partner Elevate Program is designed to empower our global ecosystem of partners from resellers and system integrators to managed service providers, to deliver cutting-edge AI, cloud, and Kubernetes outcomes faster and more profitably.
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This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers
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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!
