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What is Rafay?

Rafay provides an AI infrastructure platform for organizations that need to operate GPU and CPU environments as governed, consumable services. Built for enterprises, neoclouds, telcos, sovereign AI providers, and service providers, Rafay helps turn complex compute estates into production-ready platforms that developers, data scientists, internal teams, and external customers can use on demand. The platform gives operators a centralized way to manage infrastructure across data centers, public cloud, hybrid deployments, and sovereign or air-gapped environments. Users can access GPU capacity, Kubernetes, virtual machines, SLURM, AI workspaces, inference endpoints, and curated application catalogs through self-service workflows, while platform teams retain control over policy, identity, quotas, auditing, and cost visibility. Rafay is especially useful for organizations running shared infrastructure across many teams, tenants, regions, or customers. It supports secure multi-tenancy, lifecycle automation, chargeback, usage tracking, and standardized service delivery, helping improve GPU utilization and reduce operational burden. For GPU cloud providers and neoclouds, Rafay enables compute and AI offerings to be packaged as services, delivered through catalogs, and monetized through usage-based models. The result is a faster path from infrastructure investment to AI adoption, operational scale, and revenue-generating services.

What is NVIDIA Confidential Computing?

NVIDIA Confidential Computing provides robust protection for data during active processing, ensuring that AI models and workloads are secure while executing by leveraging hardware-based trusted execution environments found in NVIDIA Hopper and Blackwell architectures, along with compatible systems. This cutting-edge technology enables businesses to conduct AI training and inference effortlessly, whether it’s on-premises, in the cloud, or at edge sites, without the need for alterations to the model's code, all while safeguarding the confidentiality and integrity of their data and models. Key features include a zero-trust isolation mechanism that effectively separates workloads from the host operating system or hypervisor, device attestation that ensures only authorized NVIDIA hardware is executing the tasks, and extensive compatibility with shared or remote infrastructures, making it suitable for independent software vendors, enterprises, and multi-tenant environments. By securing sensitive AI models, inputs, weights, and inference operations, NVIDIA Confidential Computing allows for the execution of high-performance AI applications without compromising on security or efficiency. This capability not only enhances operational performance but also empowers organizations to confidently pursue innovation, with the assurance that their proprietary information will remain protected throughout all stages of the operational lifecycle. As a result, businesses can focus on advancing their AI strategies without the constant worry of potential security breaches.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon EKS
Amazon Web Services (AWS)
Azure Confidential Computing
Azure Kubernetes Service (AKS)
Blackwell Security
Cisco CX Cloud
Google Kubernetes Engine (GKE)
Kubernetes
Microsoft Azure
Rancher
VMware Tanzu

Integrations Supported

Google Cloud Platform
Amazon EKS
Amazon Web Services (AWS)
Azure Confidential Computing
Azure Kubernetes Service (AKS)
Blackwell Security
Cisco CX Cloud
Google Kubernetes Engine (GKE)
Kubernetes
Microsoft Azure
Rancher
VMware Tanzu

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rafay

Date Founded

2017

Company Location

United States

Company Website

rafay.co

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/data-center/solutions/confidential-computing/

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Categories and Features

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