Infrastructure built for AI speed and complexity
Fast-moving AI startups face unique infrastructure challenges that CloudBooster helps to resolve

Unpredictable GPU &
cloud spend
Stop surprises in your invoices and see through hidden credit usage.
Our cost controls and automated monitoring help you forecast spend accurately, optimize resources, and prevent spikes that eat into your runway.

Engineer bottleneck
Free your engineers from firefighting infrastructure so they can focus on shipping models. With automated operations and embedded expertise, your team delivers faster without adding headcount.

Compliance & data risk
Eliminate delays from inconsistent access, logging, or residency issues. Our platform enforces standardized controls and audit-ready practices, keeping deals moving and reducing risk exposure.

Blueprints for AI
Kubernetes, containers, job queues, CI/CD, observability.

Compliance patterns
SOC 2-type controls, GDPR-ready data handling.

Cost guardrails
Budgets, right-sizing, idle shutdowns, anomaly alerts.

Security defaults
Least-privilege IAM, encryption, private networking, audit logs.
Get your AI infrastructure up
and running in hours
In just a few steps, you’ll be on your way to automated cloud management with zero complexity.
1
Spin up your CloudBooster AI environment in minutes.
2
Choose templates for training, inference, or pipelines. Get cost estimates for GPUs and storage upfront.
3
Link AWS, GCP, or Azure securely with least-privilege roles - no shared secrets required.
4
Launch your AI infrastructure immediately, with a dashboard to track utilization, spend, and changes.
Cloudbooster delivers faster launches and lower costs
We help AIÂ companies cut waste, save engineering hours, and get production-ready environments in under a day.
Featured Blog
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Automate cloud setup and focus
on what matters—your scaling business
Skip the hiring, skip the manual setup.
CloudBooster gets you running across AWS, GCP, or Azure in minutes—with zero DevOps overhead.