AI workloads impacting cloud storage and data infrastructures

In this episode, Amir interviews Ugur Tigli, the CTO of MinIO, a high-performance object storage company. They discuss the infrastructure components of cloud storage, data protection, operating models, and costs and how they tie into AI workloads. Ugur explains that MinIO is an open-source, S3-compatible distributed object storage solution popular for its simplicity and ease of deployment. They also delve into why MinIO chose the open-source path and its benefits. Listen to the episode to learn more about cloud and AI workloads and the impact on cloud costs. 

Highlights

[00:02:40] Dual licensing model.

[00:04:15] Open source and security.

[00:07:36] AI and data growth.

[00:14:15] Complex data infrastructure evolution.

[00:16:39] Object storage simplification.

[00:20:19] AI and storage cost.

[00:24:07] Integrating with external systems.

Ugur Tigli is CTO at MinIO. In this current role, he oversees enterprise strategy and interfaces with MinIO’s enterprise client base. He helps clients architect and deploy API-driven, cloud-native, and scalable enterprise-grade data infrastructure using MinIO. Ugur has almost two decades of experience building high-performance data infrastructure for global financial institutions. Before MinIO, he was a technology leader at Bank of America, serving as the Senior Vice President and Global Head of Hardware Engineering. He joined Bank of America through the acquisition of Merrill Lynch, where he was the Vice President for Storage Engineering. Ugur has a Bachelor of Science in Electrical Engineering from Lafayette College.

https://www.linkedin.com/in/ugur-tigli-9a9323/

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