Is it cheaper to self-host Wan 2.2 on my own GPU or just use the API?

Deciding between self-hosting the Wan 2.2 model on a GPU or using the API on Atlas Cloud largely depends on utilization and demand patterns. Self-hosting can be cost-effective for high, sustained utilization, where a GPU remains busy most of the time, spreading its fixed costs over a large volume of output. However, this approach requires significant engineering resources for setup, maintenance, and scaling, and incurs costs even during idle periods. Conversely, the API offers a variable, usage-based cost model that charges only for actual output, making it advantageous for variable, bursty, or low-to-medium workloads with periods of inactivity. Atlas Cloud supports both options, providing a pay-as-you-go API and a GPU Cloud for those needing custom models or dedicated infrastructure. The optimal choice hinges on actual usage data rather than predictions, suggesting that starting with the API is prudent for most teams until they establish a stable, high-demand workload.

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