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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 Cake AI?

Cake AI functions as a comprehensive infrastructure platform that enables teams to effortlessly develop and deploy AI applications by leveraging a wide array of pre-integrated open source components, promoting transparency and governance throughout the process. It provides a meticulously assembled suite of high-quality commercial and open-source AI tools, complete with ready-to-use integrations that streamline the deployment of AI applications into production without hassle. The platform features dynamic autoscaling, robust security measures including role-based access controls and encryption, and sophisticated monitoring capabilities, all while maintaining an adaptable infrastructure compatible with diverse environments, from Kubernetes clusters to cloud services like AWS. Furthermore, its data layer includes vital tools for data ingestion, transformation, and analytics, utilizing technologies such as Airflow, DBT, Prefect, Metabase, and Superset to optimize data management practices. To facilitate effective AI operations, Cake AI integrates seamlessly with model catalogs such as Hugging Face and supports a variety of workflows through tools like LangChain and LlamaIndex, enabling teams to tailor their processes with ease. This extensive ecosystem not only enhances organizational capabilities but also fosters innovation, allowing for the rapid deployment of AI solutions with increased efficiency and accuracy. Ultimately, Cake AI equips teams with the resources they need to navigate the complexities of AI development successfully.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Airflow
Azure Kubernetes Service (AKS)
Cisco CX Cloud
Claude
DeepSpeed
Gemini
Gemma
Google Kubernetes Engine (GKE)
Hugging Face
Kubernetes
Langflow
LlamaIndex
Metabase
Microsoft Azure
Milvus
Neo4j
dbt
pgvector
promptfoo

Integrations Supported

Amazon Web Services (AWS)
Apache Airflow
Azure Kubernetes Service (AKS)
Cisco CX Cloud
Claude
DeepSpeed
Gemini
Gemma
Google Kubernetes Engine (GKE)
Hugging Face
Kubernetes
Langflow
LlamaIndex
Metabase
Microsoft Azure
Milvus
Neo4j
dbt
pgvector
promptfoo

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

Cake AI

Date Founded

2022

Company Location

United States

Company Website

www.cake.ai/

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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