InfraCloud

Cloud native consulting firm that helps companies build and manage AI infrastructure using Kubernetes and open source tools.

Verified API available
Quick facts
What is it Cloud native consulting firm that helps companies build and manage AI infrastructure using Kubernetes and open source tools.
Pricing Contact for Pricing
Free tier No
Platform Web Application
API Yes
Best for building a private GPU cloud for AI model training, modernizing legacy applications with containerization
Domain registered 2015

Data updated Aug. 1, 2026

What does InfraCloud do?

InfraCloud is a consulting and services company that specializes in helping organizations build and manage cloud native infrastructure, with a particular focus on AI workloads. They work with companies to design, implement, and operate systems using Kubernetes and various open source technologies. Their core service is providing expert guidance and hands-on implementation for complex infrastructure projects.

They help clients build what they call an 'AI Cloud' – essentially a GPU-powered infrastructure stack tailored for machine learning and artificial intelligence. This involves setting up everything from bare metal provisioning with tools like Tinkerbell to implementing full ML pipelines with components for model serving, feature stores, and observability. They also offer more general cloud native services like containerization, microservices migration, CI/CD pipeline creation, and platform engineering.

InfraCloud primarily serves enterprise clients and scaling startups that need to build robust, scalable infrastructure but lack the in-house expertise with cloud native technologies. Their customers come from various sectors including banking, finance, retail, and ad tech. The company positions itself as a partner that can handle the complete lifecycle of cloud infrastructure, from initial design to ongoing managed services.

#ai infrastructure#cloud-native#consulting#devops#gpu cloud#kubernetes#open source

Key features

What makes it stand out
01
Build private/public GPU clouds for AI workloads
02
Implement CI/CD pipelines for code, data, and ML models
03
Design and deploy workflow orchestration systems at scale
04
Set up model registries, feature stores, and model serving platforms
05
Provide Kubernetes consulting and managed services

Who is InfraCloud for?

Who benefits most from this tool
building a private GPU cloud for AI model training
modernizing legacy applications with containerization
implementing observability and security for Kubernetes clusters

Trust & presence

Domain Domain registered 2015

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