Infrastructure by workload
Infrastructure by workload
Workload guides for developers, AI teams, SaaS applications and rendering, with infrastructure choices and sizing questions.
Find infrastructure →Choose a configuration in Console to review its resources and estimated cost.
What to plan for
Use a workload guide to separate compute, data and recovery needs. Then express measurable requirements in Smart Infra Finder.
These guides explain configuration choices. They do not promise application throughput or a managed software service.
Explore the catalog
AI startups
AI startups: practical compute, data and recovery choices for a measured deployment plan.
Explore →Infrastructure for developers
Infrastructure for developers: practical compute, data and recovery choices for a measured deployment plan.
Explore →SaaS infrastructure
SaaS infrastructure: practical compute, data and recovery choices for a measured deployment plan.
Explore →GPU rendering
GPU rendering: practical compute, data and recovery choices for a measured deployment plan.
Explore →Machine learning infrastructure
Machine learning infrastructure: practical compute, data and recovery choices for a measured deployment plan.
Explore →Data science infrastructure
Data science infrastructure: practical compute, data and recovery choices for a measured deployment plan.
Explore →Related products and guides
GPU cloud
Compare GPU memory and architectures, from RTX to data-center accelerators, then check configurations in one console.
Explore →LLM hosting
LLM hosting: model selection, memory requirements, storage and deployment choices without invented performance claims.
Explore →Cloud servers
Cloud servers: configuration choices, sizing requirements and availability checks in GlobalAtlas AI.
Explore →