The roadmap to open source AI on the public cloud

Most AI initiatives stall. Not because of the models, but because of what’s underneath them. Fragmented data, sprawling toolsets, and short-term thinking are the silent killers of AI ROI. The organizations that get it right build from the bottom up, with a clear strategy, the right infrastructure, and open source at the core.

The new ebook The Roadmap to Open Source AI brings together the expertise of three industry leaders - Canonical, Microsoft, and Intel® - to lay out a practical, proven path for building AI systems that are flexible, secure, and built to last on public Azure-based
environments. Whether teams are just getting started or looking to scale existing workloads, this ebook will give them the framework to move forward with confidence.

In this ebook we will explore:

• Why data, not models, is the real AI differentiator and how to build an architecture that reflects that
• How Ubuntu Pro simplifies open source software management by providing access to long-term security patching across open source packages and pre-configured models via inference snaps
• How PostgreSQL delivers a stable, governed data layer, automating deployment, scaling, and lifecycle management for a reliable foundation beneath AI workloads
• How Intel® Xeon® processors accelerate AI workloads including vector search and inference without dependence on costly GPU investments
• How Microsoft Azure’s infrastructure integrates with open source to deliver cloud elasticity, enterprise-grade reliability, and deeply connected AI and analytics services

Fill out the form to download your copy.