Open-Source AI Infrastructure That People Can Actually Run: Lessons from Building a Local Sovereign Cloud
- 時間
- 2026-08-09 12:50 ~ 13:20
- 講者
- Michael Yuan
- 位置
- TR409-2
- 共筆
議程簡介
Open-source projects often succeed on innovation but fail on operability: installation, upgrades, permissions, observability, and support. In this talk, we’ll walk through what it takes to turn an open-source AI infrastructure project into a system real users can run safely on their own hardware.
Using the open source AI OS Olares as the case study, we’ll cover packaging, app lifecycle, GPU support, private data access, and remote access for a local sovereign cloud. We’ll also discuss what breaks when a project moves from developer excitement to actual everyday usage, and how to design the system so contributors and users can both succeed.
Attendees will leave with a clearer mental model for how to package open-source infrastructure in a way that is both technically sound and community-friendly.
講者
Michael Yuan
Dr. Michael Yuan is a maintainer of the WasmEdge project and a co-founder of Second State. He is the author of 5 books on software engineering published by Addison-Wesley, Prentice-Hall, and O'Reilly. Michael is a long- time open-source developer and contributor. He had previously spoken in many industry conferences including Open Source Summit, RustLab Conference, KubeCon, KCD, Qcon and many more.