Amazon SageMaker Studio notebooks now support G7 instance types

[Amazon G7 instances](https://aws.amazon.com/ec2/instance-types/g7/), powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, deliver up to 4.6x AI inference performance compared to previous-generation G6 instances. Whether you are deploying conversational AI assistants, scaling video streaming, or running large scale data processing pipelines, G7 gives you the performance you need. With up to 8 GPUs and 700 Gbps of EFA-enabled network bandwidth, G7 instances help you run AI inference, graphics, and data analytics workloads more efficiently. Custom Intel Xeon 6 processors, 7x EFA-enabled bandwidth and 1.5x higher FP16 Flops than G6, enable you to deploy models with lower latency for applications like conversational assistants, content generation tools, and recommendation engines. Amazon EC2 G7 instances are available for SageMaker Studio notebooks in the AWS US East (N. Virginia and Ohio) and US West (Oregon) regions. Visit developer guides for instructions on setting up and using [JupyterLab](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-jl.html) and [CodeEditor](https://docs.aws.amazon.com/sagemaker/latest/dg/code-editor.html) applications on [SageMaker Studio](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-updated.html). For pricing information on these instances, please visit our [pricing page](https://aws.amazon.com/sagemaker/ai/pricing/?refid=ft%5Fsagemaker).