SageMaker AI Lets You Train Custom Models Without GPU Headaches

Amazon SageMaker AI just dropped serverless model customization with training sessions, so you can finally write your own post-training loops—think custom loss functions, reward signals, or multi-turn reinforcement learning—while the service handles all the GPU grunt work. No more wrestling with infrastructure; SageMaker AI manages allocation, distributed execution, fault recovery, and checkpoint storage so you can focus on what actually matters: making your models smarter.