Cloud set up properly, and AI costs under control
The right cloud setup for your AI systems on AWS, Azure or Google Cloud, with security your auditors will accept. And your existing cloud bill reviewed and cut while you’re at it.
Cloud and AI spend This monthOn budget
Monthly cloud bill
In short
What is AI infrastructure and cloud cost control?
AI infrastructure is the cloud setup an AI system runs on: servers, databases, model access, security and monitoring. Cost control means choosing the right models and resources so that bills stay predictable as usage grows. Acropine sets up cloud accounts for AI workloads and reduces existing cloud and AI spending.
What we set up
- Cloud architecture
- AWS, Azure and Google Cloud set up properly: networks, access, backups and monitoring.
- AI in your cloud account
- Enterprise AI services deployed in your own account and region, so your data stays under your control.
- Cloud cost reduction
- Unused resources removed, right-sized servers and commitments that match your real usage.
- AI cost control
- Caching, smaller models for simple tasks and usage limits, so AI bills stay predictable.
- Security and compliance
- Access controls, encryption, logging and the documents your auditors ask for.
- Monitoring and alerts
- Dashboards and alerts for uptime, errors and spend, so surprises are caught early.
How it works
- 1
Review
Your current setup, bills and requirements, with a written report on what to change.
- 2
Design
The target setup and a monthly cost estimate before anything is changed.
- 3
Migrate and build
Changes made in stages, with a way back at every step.
- 4
Run
Monitoring, patching and a monthly cost report.
A good fit if
- Your cloud bill keeps growing and nobody knows why
- Your AI usage costs are hard to predict
- Auditors or big clients are asking about your cloud setup
- Nobody on your team owns the cloud full-time
What you get
- A written review and cost estimate
- A documented, monitored cloud setup
- Budgets and alerts for AI usage
- Monthly cost and usage reports
Our tech stack
Tools we use for this
The platforms we use most for this kind of work. We fit in with what you already run.
- AWS
- Azure
- GCP
- Bedrock
- Azure OpenAI
- Vertex AI
- Kubernetes
- Docker
- Terraform
- Grafana
- CloudWatch
Common questions
Can you reduce our existing cloud bill?
Usually, yes. Most growing companies have unused resources and oversized servers. The review shows the likely savings before any work starts.
Which cloud should we use?
Often the one you already use. We compare the AI services, regions and costs of each for your case, and recommend one in the review.
Do you work with our existing IT team?
Yes. We can do the work, or review and guide your team while they do it, with everything documented either way.