SageMaker Studio notebooks now support G7e GPU instances
Amazon SageMaker Studio notebooks now support G7e instances, featuring up to 8 NVIDIA RTX PRO 6000 Blackwell GPUs per instance. These instances are optimized for demanding AI and graphics workloads, including LLMs and spatial computing, and are now available in specific AWS regions. This enables users to leverage higher GPU performance for their machine learning development within SageMaker Studio.
- →Support for NVIDIA G7e GPU instances in SageMaker Studio notebooks
- →Optimized for demanding AI and graphics workloads
- →Regional availability for G7e instances
Features (2) ›
- Support for NVIDIA G7e GPU instances in SageMaker Studio notebooks
Amazon SageMaker Studio notebooks now support G7e instances, which are equipped with up to 8 NVIDIA RTX PRO 6000 Blackwell GPUs, high memory capacity per GPU, and advanced Intel processors. These instances offer enhanced networking bandwidth and support features like NVIDIA GPUDirect for improved multi-GPU and multi-node performance.
- Optimized for demanding AI and graphics workloads
The new G7e instances are designed for high-performance tasks such as deploying large language models (LLMs), agentic AI, multimodal generative AI, and physical AI models. They also provide top performance for spatial computing and workloads requiring combined graphics and AI processing.
Notes (1) ›
- Regional availability for G7e instances
Amazon EC2 G7e instances are now available for SageMaker Studio notebooks in the AWS US East (N. Virginia and Ohio) and US West (Oregon) regions. Documentation is available for setting up and using JupyterLab and CodeEditor applications, and pricing information can be found on the AWS pricing page.
https://aws.amazon.com/about-aws/whats-new/2026/02/g7e-new-launch-sagemaker-studio-notebooks/