This article describes Exasol AI Lab.
Exasol AI Lab is a scalable platform that seamlessly integrates AI models into your data workflow. It streamlines common data science and AI tasks, including data loading, preparation, exploration, model training, and deployment. Exasol AI Lab is available in multiple editions involving different technology stacks, such as Amazon Machine Image (AMI), Docker, VMware Virtual Machine Disk (VMDK), and Microsoft Virtual Hard Disk (VHD).
Exasol integration
Exasol AI Lab includes essential Exasol packages, extensions, and configuration tasks to leverage Exasol’s power for your AI and machine learning use cases.
Jupyter Notebook environment
The heart of Exasol AI Lab is a robust Jupyter Notebook environment where you can work on your data science projects.
Example Notebooks
Jump start your work with ready-to-use example Notebooks. Explore classic machine learning scenarios, seamlessly integrate Exasol with AWS SageMaker, and tap into Hugging Face models directly within Exasol.
To get started immediately with Exasol AI Lab, visit the Exasol AI Lab GitHub repository.
For an introduction to Exasol AI Lab, watch the following videos: