Announcing SageMaker Training support for ml.g5 instances

[Amazon SageMaker](/sagemaker/) training jobs now support ml.g5 instances, powered by NVIDIA A10G Tensor Core GPUs. ml.g5 instances feature up to 8 NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.6 TB of local NVMe SSD storage. Customers can choose the most appropriate instance size from eight options, offering between one and eight GPUs. SageMaker Training supports ml.g5 instances today in the AWS US East (N. Virginia) and US West (Oregon) regions. To read more about ml.g5 instances, visit the [AWS news blog](https://aws.amazon.com/blogs/aws/new-ec2-instances-g5-with-nvidia-a10g-tensor-core-gpus/) or visit the [G5 instance page](/ec2/instance-types/g5/) to learn more. To get started using ml.g5 instances log into the [Amazon SageMaker console](https://console.aws.amazon.com/sagemaker/home).