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Research without the queue
H100, A100 and L40S instances started for a study and stopped after it, 30% under the leading cloud on-demand for the same GPU.
Schools, universities and education companies run to an academic calendar: enrolment, assessment, results day, then a long quiet. Research groups need GPUs for weeks at a time and then nothing. Compute prices the same machines under the leading cloud and bills only for the seconds they run.
Used by schools, colleges, universities, edtech start-ups and Fortune 500 learning businesses for teaching, research and administration.
What this looks like in practice
H100, A100 and L40S instances started for a study and stopped after it, 30% under the leading cloud on-demand for the same GPU.
Capacity rises for enrolment and results and falls back after, so the busiest day does not set the year’s bill.
Records in managed databases with a full access and change history, separated where your policies require.
Students get repositories, code review and CI on CodeGraph, with ten repositories and 100 GB free.
Education buys infrastructure annually and uses it seasonally. The gap between the two is money that could have gone to teaching or research.
A research group needs a few weeks of GPU time for an experiment, then writes up. Reserving capacity for a year to cover that is a poor use of a grant. On Compute the machines start for the experiment and stop after, priced under the leading cloud for the same GPU. That holds for a single lab and for a whole university.
Course sites and portals deployed on Panel, with builds priced under the leading cloud’s hosting builds.
Feedback and tutoring tools through AI inference, 30% under the leading cloud’s model service for the same model.
Student and staff repositories on CodeGraph, with code review built in.
Admissions, timetabling and results on CosmoBase, with a history of every change.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
Usage is itemised by project, so each group’s spend can be charged to its own budget or grant.
For the same H100, A100 or L40S, 30% under the leading cloud’s published on-demand price, shown beside ours. Billing is per second with no reservation required.
Records are separated and access is recorded. Where data lives is configured and held to. If you need a specific attestation, ask us and we will answer plainly.
Yes. Ten repositories and 100 GB of repository storage, two databases with 40 GB of storage, and 10 GB of object storage are included.
Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.
Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.
Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.
Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.
Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.
Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.
Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.
No migration required to begin. Nothing to tear down if you stop.