GPU cloud evaluation report
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.
tHE RAFAY PLATFORM - SERVICES YOU CAN LAUNCH
Your Infrastructure, Delivered as-a-Service
Rafay provides the foundation for delivering infrastructure “as a service” across private, public, and sovereign environments. From Kubernetes-as-a-Service to Bare Metal-as-a-Service and SLURM-as-a-Service, Rafay lets you define repeatable service blueprints that are governed, multi-tenant, and instantly consumable—no matter where the infrastructure runs.
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Launch cloud-like services on any infrastructure
Landing Zones
Provide all cloud users with self-service access to landing zones using proven templates with guardrails.
Kubernetes Clusters
Launch fully-compliant Kubernetes clusters in a single click, complete with approval trails.
SLURM
Deliver SLURM clusters as elastic, multi-tenant HPC services with lifecycle automation and governance.
Jupyter Notebooks
Offer governed, on-demand JupyterLab environments for data science, AI and ML teams.
Environments
Enable operations teams and developers to launch guardrails-based environments for immediate use.
Namespaces
Deliver self-service access to secure, lateral escalation-safe namespaces on-demand using proven templates with guardrails included.
Serverless Pods
Provide on-demand, customizable compute environments without the overhead of maintaining multiple templates.
NVIDIA Blueprints
Transform NVIDIA NIM Blueprints into fully operational, self-service AI services.
Baremetal GPUs
Enable elastic, self-service provisioning of bare metal GPU servers with governance, visibility, and metering built in.
Models
Deploy, scale, and manage inference endpoints for large language models (LLMs) and other AI workloads.
NIM-Powered Marketplace
Built on NVIDIA NIM and orchestrated by Rafay, this solution allows telcos to launch branded AI marketplaces where enterprises can select, deploy, and consume AI services instantly.
Inference
Enable providers and enterprises to deploy, scale, and monetize GPU-powered inference endpoints optimized for large language models (LLMs) and generative AI applications.
Virtual Machines
Deliver GPU- or CPU-based virtual machines as secure, scalable, and consumption-based services.
Trusted by leading enterprises, neoclouds and service providers
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