AWS Launches SageMaker Studio Lab, Free Tool to Learn and Experiment with Machine Learning

AWS has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology. SageMaker Studio Lab provides users with all of the basics to get started, including a JupyterLab IDE, model training on CPUs and GPUs and 15 GB of persistent storage. SageMaker Studio Lab has all the basics to create data analytics, scientific computing, and machine-learning projects with notebooks, which can be easily imported and exported via the Git repo or a private Amazon S3 bucket. SageMaker Studio Lab becomes an alternative to the popular Google Colab environment, providing free CPU/GPU access. Another enhancement for AWS SageMaker is a visual, no-code tool called SageMaker Canvas.