A media company runs a nightly video-rendering pipeline that processes thousands of independent frames. Each frame render is a stateless job that can be checkpointed and retried if interrupted. The batch must finish before morning, but the workload is highly parallelizable and completely fault-tolerant. The team wants to minimize compute cost while maintaining enough capacity to meet the deadline. Which compute approach best fits these requirements?