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Imagery on GPUs, for less
Analyse imagery on L40S, A100 or H100 instances priced 30% under the leading cloud on-demand for the same GPU.
Farms, agribusinesses and food producers work to a season, and so does their software: imagery during the growing months, logistics at harvest, planning through winter. Compute gives you the same machines as the leading cloud for less, with no reservation to carry through the quiet months.
Used by agritech start-ups, cooperatives, growers and Fortune 500 food and agribusiness groups for field data, analysis and supply.
What this looks like in practice
Analyse imagery on L40S, A100 or H100 instances priced 30% under the leading cloud on-demand for the same GPU.
Capacity used heavily for a few months and barely the rest is billed by the second, not by the year.
Records of origin, treatment and movement kept with a full history, ready when a buyer or inspector asks.
Field and machinery data queued and stored alongside the databases and tools that use it.
Agriculture has always managed costs to the season. Cloud infrastructure, bought by the year and sized for the busiest week, has been the exception.
A field scan is most useful in the days after it is taken. When GPU capacity is rationed, analysis waits and the window closes. On Compute the machines start when the imagery arrives and stop when it is done, priced under the leading cloud for the same GPU — for a single grower and for an agribusiness covering whole regions.
Contract, pricing and delivery portals deployed on Panel with your own domains.
Origin and movement records in managed databases priced under the leading cloud’s managed databases.
Machinery and sensor data collected through Cloud Services queues and object storage.
Yield and logistics models on CPU instances 30% under the leading cloud’s cheapest matching instance.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
Only for what runs. Machines are billed by the second and there are no reservations or minimum terms.
We do not claim that. The 30% figure applies to GPU and CPU instances, managed database hours, build minutes, AI inference and support plans. Storage is priced separately and published.
Yes. There is a free allowance and no minimum spend, so an agritech start-up and a large producer start on the same terms.
Records are kept with a complete change history, so what was recorded and when has a plain answer.
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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.