GPU Autoscaling Policy

機械支援の翻訳下書き (Japanese) for "GPU Autoscaling Policy": GPU Autoscaling Policy is a compute control loop that changes capacity based on demand signals for accelerated compute for parallel workloads. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.

“例文の下書き: The platform engineering team used GPU Autoscaling Policy when the training job requested more memory, so the team could match resources to load before the workload scaled up.”