Workload qualification
Define duration, traffic shape, and interruption tolerance.
The capacity form fits the workload from the first run.
GPU Cloud
Qualify duration, continuity, memory, and scale before selecting a capacity form. Capacity matches how the work runs, and the fit is stated before the term starts.
Who it is for
Training, inference, and batch work are qualified through runtime shape instead of a hardware name alone.
What the account receives
Define duration, traffic shape, and interruption tolerance.
The capacity form fits the workload from the first run.
Match working-set needs to a realistic accelerator tier.
Memory limits enter the decision before a hardware name does.
Review single-node and coordinated work through the interconnect need.
A design is proven against the workload before it scales.
Select on-demand, reserved, or serverless capacity by operating pattern.
Continuity expectations are written down before the term starts.
Tell us how the workload runs: how long, how tolerant of interruption, how much memory. A member of the team replies within one business day.