Amazon has launched five new capabilities to its SageMaker service, including Sagemaker HyperPod, which accelerates large language and foundation model training and tuning. Sagemaker HyperPod is said to shorten the training time by up to 40 percent using its purpose-built infrastructure designed for distributed training at scale. By optimizing acceleration, SageMaker Inference reduces foundation model deployment costs by 50 percent and latency by 20 percent on average, Amazon claims. “SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning infrastructure,” said Amazon. Continue reading SageMaker HyperPod: Amazon Accelerates AI Model Training