Design a GPU scheduling platform that queues ML jobs, assigns them to nodes, and handles execution failures

• Keep placement state consistent across the scheduler, database, and agent when assignments fail mid-flight
• Preempt lower-priority work quickly without starving normal jobs
• Detect dead nodes fast enough to retry, but slow enough to skip transient blips

• Lease protocol
• Priority aging with preemption protection
• Two-tier heartbeat detection