Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Servers.com Reviews & Ratings
    15 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,168 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    347 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,934 Ratings
    Company Website
  • RunPod Reviews & Ratings
    211 Ratings
    Company Website
  • OpenMetal Reviews & Ratings
    40 Ratings
    Company Website
  • Kasm Workspaces Reviews & Ratings
    127 Ratings
    Company Website
  • Serviceaide Reviews & Ratings
    139 Ratings
    Company Website
  • Denodo Reviews & Ratings
    387 Ratings
    Company Website
  • Passwork Reviews & Ratings
    108 Ratings
    Company Website

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 Elastic GPU Service?

Elastic computing instances that come with GPU accelerators are perfectly suited for a wide range of applications, especially in the realms of artificial intelligence, deep learning, machine learning, high-performance computing, and advanced graphics processing. The Elastic GPU Service provides an all-encompassing platform that combines both hardware and software, allowing users to flexibly allocate resources, dynamically adjust their systems, boost computational capabilities, and cut costs associated with AI projects. Its applicability spans many use cases, such as deep learning, video encoding and decoding, video processing, scientific research, graphical visualization, and cloud gaming, highlighting its remarkable adaptability. Additionally, the service not only delivers GPU-accelerated computing power but also ensures that scalable GPU resources are readily accessible, leveraging the distinct advantages of GPUs in carrying out intricate mathematical and geometric calculations, particularly in floating-point operations and parallel processing. In comparison to traditional CPUs, GPUs can offer a spectacular surge in computational efficiency, often achieving up to 100 times greater performance, thus proving to be an essential tool for intensive computational demands. Overall, this service equips businesses with the capabilities to refine their AI operations while effectively addressing changing performance needs, ensuring they can keep pace with advancements in technology and market demands. This enhanced flexibility and power ultimately contribute to a more innovative and competitive landscape for organizations adopting these technologies.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$69.51 per month
Free Trial Offered?
Free Version

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

Alibaba

Date Founded

1999

Company Location

China

Company Website

www.alibabacloud.com/product/heterogeneous_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

Popular Alternatives

Popular Alternatives