A platform that suits everyone equally suits nobody particularly. These pages say what changes for your industry, or for the thing you are actually trying to do, without pretending the two are the same question.
Begin with one workload. Keep everything else exactly where it is.
What the constraint actually is in your sector, and what stops being a constraint.
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.
Read on →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.
Read on →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.
Read on →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.
Read on →Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.
Read on →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.
Read on →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.
Read on →Give IT one platform for servers, databases, code, DNS and support, priced under the leading cloud where the comparison is like for like and billed by the second.
Read on →Run client portals, document workflows and AI research tools for consultancies and firms, with costs you can attribute to each engagement.
Read on →Run plant data, simulation, quality inspection and supply-chain systems on per-second machines and GPUs priced under the leading cloud for the same hardware.
Read on →Run trading, risk, payments and reporting systems with a complete record of change, on machines and databases priced under the leading cloud for the same specification.
Read on →Host listing sites, property data, valuation models and tenant portals on one platform that costs less than the leading cloud for the same machines and databases.
Read on →Carry clinical, research and patient-facing workloads with structural separation and complete access records, on machines and databases priced under the leading cloud.
Read on →Run metering data, forecasting, asset management and customer systems on per-second machines and databases priced under the leading cloud for the same specification.
Read on →Run storefronts, search, recommendations and order systems on infrastructure billed by the second and priced under the leading cloud for the same machines and databases.
Read on →Run project portals, drawing workflows and site data on a cloud that bills by the second and costs less than the leading cloud for the same machines.
Read on →Run collection routing, fleet telemetry and compliance reporting on a cloud priced under the leading cloud, billed by the second.
Read on →Render, transcode and serve audiences on GPU and CPU capacity priced under the leading cloud, billed by the second and released the moment a job ends.
Read on →Run geological modelling, sensor pipelines and operations reporting on GPU and CPU capacity priced under the leading cloud, with no commitments.
Read on →Give every subsidiary the same platform, consolidate infrastructure onto one bill, and pay less than the leading cloud for the same machines.
Read on →Run booking engines, guest apps and property systems on a cloud that follows the season and costs less than the leading cloud for the same machines.
Read on →Run ordering, reservations and kitchen systems on a cloud billed by the second and priced under the leading cloud, from one site to thousands.
Read on →Run learning platforms, research computing and student services on a cloud priced under the leading cloud, billed by the second through term and holiday alike.
Read on →Run field data, imagery analysis and supply systems on capacity priced under the leading cloud, billed by the second through the growing season.
Read on →Run routing, tracking and warehouse systems on a cloud priced under the leading cloud, billed by the second through every peak.
Read on →Run trade portals, order processing and inventory systems for B2B distribution on a cloud priced under the leading cloud, billed by the second.
Read on →Run public services and internal systems with configured residency, complete access records and published prices beside the leading cloud’s own.
Read on →Run genomics, molecular modelling and lab data on GPUs priced under the leading cloud, with separation, residency and access records configured.
Read on →Run detection pipelines, SOC tooling and threat intelligence compute on capacity priced under the leading cloud, billed by the second.
Read on →The work itself, whatever industry it happens in.
Start on something that will still be right at a hundred times your size, and pay now what a startup should pay.
Read on →Move in stages with the old arrangement still running, and cut over only once the replacement has carried real traffic.
Read on →Get capacity when the experiment is ready, keep what produced a result, and put models in front of users without a separate platform.
Read on →Keep everything at full fidelity, query it without a project, and stop deciding today what you will want to ask next year.
Read on →Ship the application your users touch, on an address that stays put, with every version one click behind you.
Read on →Build the tools your own teams need, at a cost that makes small improvements worth doing.
Read on →Give your engineers a platform that removes decisions rather than adding them, without a platform team to run it.
Read on →Have a recovery plan you have actually exercised, with a recovery point measured in moments rather than hours.
Read on →Make evidence a by-product of the work, so an audit is a set of lookups rather than a quarter of archaeology.
Read on →Know what you will pay before the month starts, see which workload spends what, and stop paying for capacity you are not using.
Read on →Get a large amount of capacity for a short time, without owning it for the rest of the year.
Read on →Be fast for people far from where you deployed, and keep data where each jurisdiction requires it.
Read on →Keep enough signal for long enough to investigate properly, and know who could reach what without a week of work.
Read on →Stand up client work in a day, keep each client separate, and hand over something the client can actually run.
Read on →Every one of these starts the same way: one workload, nothing torn down, and a decision you make after you have seen it work.
Nothing to migrate to begin. Nothing to unwind if you stop.