Research computing infrastructure
Cloud environments for analysis and models, defined as code, with access controls, cost visibility, and reproducible setups for R&D teams.
Research teams need compute for analysis, simulation, and models, but ad hoc cloud accounts lead to surprise bills, inconsistent environments, and data in places it should not be.
We define research environments as code, so they are reproducible and reviewable, set up access controls and data boundaries, and make costs visible per project. Monitoring and backups protect the work. Researchers can start approved environments themselves, so infrastructure stops being a bottleneck for new work.
Things to keep in mind
- Shut down idle compute automatically to control cost.
- Keep sensitive data in approved regions and accounts.
- Version environments so analyses can be rerun later.
How it works
Assess usage
Understand workloads, data volumes, and users.
Codify environments
Define compute, storage, and access as code.
Control cost
Set budgets, alerts, and per-project visibility.
Operate
Monitor, patch, and back up the environment.
Frequently asked questions
Can researchers start their own environments?
Yes, from approved templates with cost and access controls built in.
Which clouds do you support?
AWS, Azure, and GCP, or managed hosting.
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Tell us what needs to work better. We reply within one business day with a clear next step.