Session: Kubernetes, AI, and Data: Oh My!
The session “Kubernetes, AI, and Data: Oh My!” explores the integration of Open Source AI models within Kubernetes infrastructure, addressing the key challenges of data management in AI-driven environments. Presented by Jon Owings from Pure Storage, the session focuses on how modern enterprises can leverage Kubernetes to accelerate AI innovation, while maintaining secure, efficient, and scalable data storage solutions.
Key topics include:
Retrieval Augmented Generation (RAG) – a technique to enhance AI model accuracy by pulling real-time, domain-specific data without requiring constant model retraining.
Kubernetes for AI – showcasing how Kubernetes serves as the foundation for AI platforms, providing elastic scaling of resources, enhancing data portability, and ensuring high availability.
AI storage infrastructure – an ideal platform must provide seamless access to virtualized datasets, self-service data management, and localized data access to reduce cloud costs.
The session includes live demos, offering attendees an in-depth look at RAG in action and Kubernetes’ role in driving operational efficiency in AI projects.
