Cua Fleet (10:50 – 15:02): A solution for optimizing GPU utilization during RL (Reinforcement Learning) training. It addresses the high cost of idle GPUs while waiting for sandbox environments to start by using a demand-based autoscaler to manage warm pools of sandboxes, potentially significant costs.
this animation was generated using real simulation data of the autoscaling algorithm used to scale fleets