Run Jupyter Notebooks on a GPU on the Cloud

Oct 10, 2023 3m read Sarah Johnson GPUs accelerate tasks like ML training, computer vision, and analytics, but can be challenging to access. Using the cloud can open up access to GPUs, but comes with its own challenges including: Complex Cloud Infrastructure : AWS SageMaker, for example, requires navigating AWS IAM roles, VPC settings, and other cloud configuration steps before even starting a GPU instance. Limited Customization : Tools like SageMaker and Google Colab provide managed environments, but they can feel restrictive, making it hard to install custom dependencies or optimize GPU usag