with
Ugur Arpaci
(Codeway)
,
Brian Kaufman
(Google Cloud)
,
Volkan Aydingul
(Codeway)
,
Thierry Damiba
(Qdrant)
This session explores the evolution of data management on Kubernetes for AI and machine learning (ML) workloads and modern databases, including Google’s leadership in this space. We’ll discuss key challenges and solutions, including persistent storage with solutions like checkpointing and Cloud Storage FUSE, and accelerating data access with caching. Customers Qdrant and Codeway will share how they’ve successfully leveraged these technologies to improve their AI, ML, and database performance on Google Kubernetes Engine (GKE).