Uploaded August 2026 | Updated September 2026, 2 weeks ago

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with Sr. Product Marketing Manager Maddie Presland (Backblaze) and DevRel AI Engineer Roan Weigert (GMI Cloud)

Every team building with generative AI hits the same issues that impact critical repeatibility: stitching together inference APIs, managing outputs across providers, and having no record of what model produced what result. In this session, Sr. Product Marketing Manager Maddie Presland (Backblaze) and DevRel AI Engineer Roan Weigert (GMI Cloud) will walk through an end-to-end demo showing how using GMI Cloud, the Backblaze GenBlaze SDK, and Backblaze B2 solve all three—giving engineers a production-ready pipeline in under 200 lines of code, and giving business stakeholders durable, auditable AI outputs they can actually trust.

This webinar is part of AI Campfire, a webinar series that zooms in on data management best practices to keep AI datasets secure and accessible while controlling storage infrastructure costs. Join Backblaze experts and AI integration partners as we dig into AI data pipeline phases, why storage is a critical infrastructure decision for AI, and show how to use open source tools that integrate with Backblaze B2.