Open at Intel

In this episode, Daniel Valdivia, an engineer from MinIO, discusses his participation at KubeCon and his work in Kubernetes integrations and AI initiatives. We discussed the significance of object storage standardization via the Open Platform for Enterprise AI (OPEA), emphasizing the flexibility and scalability of MinIO's offerings. Daniel highlights MinIO's contributions to open source projects like PyTorch and Spark and shares insights on new hardware technologies like PCIe Gen 5. Daniel also announces the launch of MinIO's new AI store, designed to empower enterprises to efficiently manage exascale infrastructure and AI pipelines.

00:00 Introduction

00:13 Meet Daniel Valdivia: Engineer at Minio

00:24 The Importance of Kubernetes Integrations

00:43 Intel's Open Platform for Enterprise AI

00:58 MinIO's Unique Object Storage Solutions

01:56 Community Participation and Contributions

02:18 Ensuring Compatibility with AI Hardware

03:20 The Role of OPEA in Enterprise AI

05:56 Open Source Contributions and Challenges

09:12 Future of AI and Hardware Innovations

13:23 Big Announcement

14:40 Conclusion and Final Thoughts

Guest:

Daniel Valdivia is an engineer with MinIO where he focuses on Kubernetes, ML/AI and VMware. Prior to joining MinIO, Daniel was the Head of Machine Learning for Espressive. Daniel has held senior application development roles with ServiceNow, Oracle and Freescale. Daniel holds a Bachelor of Engineering from Tecnológico de Monterrey, Campus Guadalajara and Bachelor of Science in Computer Engineering from Instituto Tecnológico y de Estudios Superiores de Monterrey.