Introducing Amazon SageMaker ml.P4d instances for highest performance ML training in the cloud
Amazon SageMaker now supports ml.p4d instances, the next generation of GPU-based instances that provide the best performance for machine learning (ML) training in the cloud for applications such as natural language processing, object detection and classification, seismic analysis, genomics research, and more.
Amazon SageMaker now supports ml.p4d instances, the next generation of GPU-based instances that provide the best performance for machine learning (ML) training in the cloud for applications such as natural language processing, object detection and classification, seismic analysis, genomics research, and more.
These instances are powered by the latest Intel® Cascade Lake processors and eight NVIDIA A100 Tensor Core GPUs. Amazon SageMaker ml.p4d.24xlarge instances are now available in the US East (N. Virginia) and US West (Oregon) AWS regions. They provide up to 100 Gbps networking throughput with 96 vCPUs, 8 NVIDIA A100 GPUs, 1.1 TB instance memory, 8 TB local NVMe-based SSD storage, and 19 Gbps EBS burst bandwidth.
Read the AWS news blog to learn more about P4d instances and the Amazon SageMaker documentation to learn about using local NVMe-based SSD storage with these instances.