Amazon SageMaker AI Batch Transform now supports G6e instances

<p>Amazon SageMaker AI now supports <a href="https://aws.amazon.com/ec2/instance-types/g6e/">Amazon EC2 G6e instances</a> for batch transform. Batch Transform enables you to run predictions on datasets stored in Amazon S3 and is suited for large datasets that do not require a persistent inference endpoint.</p> <p>Amazon EC2 G6e instances are powered by up to eight NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third-generation AMD EPYC processors. G6e instances deliver improved performance for GPU-intensive workloads. With this launch, you can use G6e instances for GPU-intensive offline inference workloads, including large language models and diffusion models that generate images, video, and audio. To get started, select a supported ml.g6e instance type when creating a Batch Transform job through AWS SDKs, AWS CLI, or the CreateTransformJob API.</p> <p>G6e support for Batch Transform is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), and Asia Pacific (Hyderabad). To learn more, visit the <a href="https://aws.amazon.com/sagemaker/ai/deploy/">Amazon SageMaker AI</a> product page and see the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html">Batch Transform documentation</a>. For pricing information on these instances, please visit our <a href="https://aws.amazon.com/sagemaker/ai/pricing/?refid=ft_sagemaker">pricing page</a>.</p>