Amazon SageMaker Now Supports ml.G4dn instances for Batch Transform and Processing Jobs
Amazon SageMaker customers can now select ml.G4dn instances to run Batch Transform and Processing Jobs. Amazon SageMaker Batch Transform enables you to run predictions on datasets stored in Amazon S3. It is ideal for scenarios where you are working with large batches of data and don’t need sub-second latency. Amazon SageMaker Processing enables you to run your pre- or post-processing workloads, such as feature engineering, data validation, model evaluation, and model interpretation with a fully managed experience.
Amazon SageMaker customers can now select ml.G4dn instances to run Batch Transform and Processing Jobs. Amazon SageMaker Batch Transform enables you to run predictions on datasets stored in Amazon S3. It is ideal for scenarios where you are working with large batches of data and don’t need sub-second latency. Amazon SageMaker Processing enables you to run your pre- or post-processing workloads, such as feature engineering, data validation, model evaluation, and model interpretation with a fully managed experience.
ml.G4dn instances are cost-effective and versatile GPU instances for running batch inference and data processing jobs that require data processing at scale for use-cases such as video feature extraction, image processing, object detection, and speech recognition. ml.G4dn instances provide the latest generation NVIDIA T4 Tensor Core GPUs, AWS custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, up to 50 Gbps of networking throughput, and up to 900 GB of local NVMe storage. To learn about ml.G4dn instances, visit the product pages.
ml.G4dn instances in Amazon SageMaker Batch Transform and Processing Jobs are available in the US East (N. Virginia and Ohio), US West (Oregon and N. California), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, and Stockholm), Asia Pacific (Hong Kong, Mumbai, Seoul, Singapore, Sydney, and Tokyo), Middle East (Bahrain), South America (São Paulo), Africa (Cape Town), and GovCloud (US-West) AWS Regions. Visit the Amazon SageMaker product pages for more information.