Post Content
Python is the backbone of modern AI workflows, but scaling Python across data processing, training, and inference introduces real distributed systems challenges. In this customer conversation, Xoople’s VP of Engineering shares how their team moved from early distributed Python approaches to running production AI workloads with Ray on Azure.
𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Milos Colic
* Nate Waters
𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com
LIVE148 | English (US)
Broadcast Stage
#MSBuild
Chapters:
0:00 – Overview of Any Scale integration as managed Ray platform on Azure
00:03:14 – Discussion on Zoople’s AI stack, data ingestion, training, and inference using Any Scale on Azure
00:03:48 – Summary of hybrid and heterogeneous computing benefits in Zoople’s AI operations
00:05:15 – Scaling image processing across trillions of pixels
00:06:19 – Focus on delivering business value instead of managing clusters
00:07:48 – Discussion on scaling Python-based AI systems
00:09:31 – Excitement about generative AI augmenting engineers
00:10:56 – Collaboration between product, application, and platform teams
00:11:16 – Adoption of AI tools like Copilot on Azure across teams Read More Microsoft Developer
