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GPUs without rationing
H100, A100 and L40S instances 30% under the leading cloud on-demand for the same GPU, started for the run and stopped after it.
Biotech, pharmaceutical and research organisations run some of the most compute-hungry work there is — sequencing, structure prediction, simulation — and the size of the question is often set by the size of the budget. Compute offers the same GPUs as the leading cloud for 30% less, billed by the second.
Used by biotech start-ups, contract research organisations and Fortune 500 pharmaceutical groups for discovery, lab data and trial operations.
What this looks like in practice
H100, A100 and L40S instances 30% under the leading cloud on-demand for the same GPU, started for the run and stopped after it.
Separation between studies, environments and data is a configured property, not a procedure.
Who looked, when, and at what — retained and answerable as a lookup.
Pipeline code and configuration kept with a full history, so an earlier analysis can be reproduced exactly.
When GPU time is expensive and reserved, scientists run fewer experiments and smaller screens. Lower prices and per-second billing change what is worth trying.
A discovery programme that can afford more runs explores more of the space. When the same GPU costs 30% less than on the leading cloud and is billed only for the seconds it runs, the same budget goes further. That is as true for a seed-stage biotech as it is for a global pharmaceutical group.
Analysis code with review and CI, so what produced a result is always recorded.
Sample and assay records in managed databases priced under the leading cloud’s managed databases.
Document and literature analysis through AI inference, 30% under the leading cloud’s model service for the same model.
Residency, access records and separation are configured. For a specific attestation, ask and we will answer plainly.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
Tell us which attestation you need and we will say plainly whether we hold it today. Residency, separation and access records are configured properties of the platform, and we will show you how they are set.
30% under the leading cloud’s published on-demand price for the same H100, A100 or L40S, shown beside ours. Billing is per second.
Pipeline code and configuration are kept with a full history, so an earlier state can be recovered and run again.
No. There are no reservations or minimum terms. Support plans are monthly.
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.