A media company runs a nightly video transcoding pipeline that processes thousands of independent jobs. The work is fault-tolerant and can be restarted if a worker is terminated, and there is no strict deadline as long as jobs complete before morning. The cloud team wants to minimize compute cost for this batch workload while retaining the ability to scale out to hundreds of workers. Which compute purchasing and scaling strategy best fits these requirements?