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Pay for the spike, not the year
Machines billed by the second scale up when an audience arrives and stop billing when it leaves.
Creator businesses are spiky by nature. A post lands, a drop goes live, a stream starts, and the traffic arrives in minutes rather than months. Compute is billed by the second, so you pay for the rush when it happens and not for the capacity you would have needed to buy in advance on the leading cloud.
Used by independent creators, creator tooling startups and the platforms that serve creators at scale.
What this looks like in practice
Machines billed by the second scale up when an audience arrives and stop billing when it leaves.
Transcoding, captioning and generative tools on L40S, A100 and H100 instances at 30% under the leading cloud on-demand.
Storefronts and creator pages built and hosted by Panel, on domains registered in the same account.
Free allowances cover a small creator business, and the same platform carries it if it becomes a large one.
For a creator platform, the best day of the year can also be the most expensive. Reserved capacity makes the quiet days costly; on-demand the leading cloud makes the busy ones costly. Per-second billing at a lower price is the arrangement that fits how attention actually works.
A limited release goes live and everyone arrives in the same minute. The storefront is on Panel and Nexus, the inventory in CosmoBase, the order queue in Cloud Services. Capacity is there when the audience is, billed by the second, and gone when they have checked out. The bill afterwards reads like the traffic graph.
Transcode and caption on GPU instances for as long as the job takes, then release them.
Build editing, captioning and writing tools on AI inference billed per token, at 30% under the leading cloud’s model service for the same model.
Messaging and community back ends on Compute Instances, close to the fans using them.
Earnings and reporting services backed by CosmoBase, with a record of every change to how they are calculated.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
Both. An individual creator can run a site and a storefront inside the free allowances. A platform serving many creators runs the same products at larger scale, on the same published prices.
Usage rises and so does the bill, by the second and at published prices. Nothing jumps to a higher tier, and nothing stays elevated after the traffic has gone.
We claim 30% under the leading cloud only on machines, databases, build minutes, tokens and support. Storage and bandwidth prices are published on the pricing page for you to compare directly.
Yes. Most teams move GPU work first because the saving is immediate, then sites and data once the first move has proven itself.
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.
Run your product, its databases, CI and AI features on one platform that costs less than the leading cloud for the same machines, databases and models.
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.