AI & Machine Learning

Artificial intelligence (AI) and machine learning (ML) applications rely on large volumes of data for training, fine-tuning, inference, and long-term retention. Backblaze B2 Cloud Storage provides a scalable object storage platform that can be used to store datasets, model artifacts, generated content, and application data throughout the AI lifecycle.

This section contains resources for using Backblaze B2 with artificial intelligence (AI) and machine learning (ML) tools, frameworks, and applications.

The topics in this section focus on practical implementations and developer workflows. You can find integration guides, tools, SDKs, sample applications, and reference architectures that demonstrate how to use Backblaze B2 as a storage layer for AI and ML workloads.

In this section, you can find:

• Open Source AI Integration Guides: Instructions for integrating Backblaze B2 with open source AI and machine learning projects.
• Tools & SDK Resources: Developer tools, SDKs, libraries, and utilities that support AI and ML workflows with Backblaze B2.
• Sample AI Apps & Reference Architecture: Example applications, notebooks, and architecture patterns that demonstrate how to build AI-powered solutions using Backblaze B2.

Many of the resources in this section are based on projects and examples maintained in the Backblaze Labs and Backblaze B2 Samples GitHub repositories. These resources are intended to help developers evaluate integrations, build prototypes, and deploy AI and ML applications that use Backblaze B2.