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Heavy compute, lighter bill
GPU instances 30% under the leading cloud on-demand for the same GPU, CPU instances 30% under the leading cloud’s cheapest matching instance.
Resource companies run some of the heaviest computation in industry — block models, seismic interpretation, simulation — alongside a constant stream of telemetry from sites and fleets. Compute provides the same machines as the leading cloud for less, billed by the second, so a large model run costs what it ran.
Used by exploration start-ups, mid-tier producers and Fortune 500 resource groups for modelling, monitoring and reporting.
What this looks like in practice
GPU instances 30% under the leading cloud on-demand for the same GPU, CPU instances 30% under the leading cloud’s cheapest matching instance.
A model iteration that takes eleven hours is billed for eleven hours, to the second. Nothing waits on a reserved block.
Sensor and fleet data queued and stored alongside the databases and dashboards that read it.
Monitoring and reporting systems keep a full history, so a figure in a disclosure can be traced to its source.
When compute is expensive, geologists queue and planners run fewer scenarios. The answer to a question gets shaped by what the cluster can spare. Lower prices and per-second billing change which questions are worth asking.
Mine plans improve when planners can test more options. When each run is cheaper and billed only for the time it takes, a study that once afforded a handful of scenarios can afford many more. That holds for a junior explorer with one project and for a major with a global portfolio.
Processing and interpretation on H100 and A100 instances, priced under the leading cloud on-demand.
Environmental and tailings data in CosmoBase, with a complete history of what changed.
Safety, permit and shift tools deployed on Panel, built from repositories on CodeGraph.
Usage itemised by service and by project rather than spread across vendors.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
For the same GPU or the same CPU specification, 30% under the leading cloud’s published on-demand price, shown beside ours. The same applies to managed database hours. Storage and bandwidth are priced separately.
Yes. Machines run as long as the job needs and bill by the second. There is no minimum term and no reservation to buy first.
Where data lives is something you configure and we hold to. If you have a specific residency requirement, tell us and we will confirm plainly whether we meet it.
No. Most start with a single modelling workload, compare the bill, and move further from there.
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.