AI startups
AI startups
AI startups: practical compute, data and recovery choices for a measured deployment plan.
Choose a configuration in Console to review its resources and estimated cost.
What to plan for
Separate experiments from customer-facing inference so model changes do not disrupt the application.
GPU for the model, CPU for the API, object storage for datasets and backups for state. Start with a small measured workload.
Check availability: AI startups
Check the current price and configuration in Console. Your choice is saved through registration. The current lookup uses mock adapters; no real capacity is reserved.
Related products and guides
GPU cloud
Compare GPU memory and architectures, from RTX to data-center accelerators, then check configurations in one console.
Explore →Cloud servers
Cloud servers: configuration choices, sizing requirements and availability checks in GlobalAtlas AI.
Explore →Cloud storage
Compare object, block and file storage, backups and snapshots by access pattern, durability needs and restore workflow.
Explore →Cloud backup
Cloud backup: access model, capacity planning and recovery considerations before choosing a configuration.
Explore →