A genomics research startup runs nightly batch pipelines that process large datasets on Compute Engine. The jobs are fault-tolerant, can be checkpointed, and can restart if interrupted. They currently run on 200 standard on-demand n2 instances and take about 6 hours. Leadership wants to reduce compute cost as much as possible without missing the 10-hour nightly processing window, and the workload has no strict per-instance uptime requirement. Which compute design best meets these business and technical requirements?