Data Privacy & Governance: Achieve high performance, cost-efficient AI Inference using GKE | Kisaco Research

When it comes to AI, inference is how today’s gen AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing an increasing adoption of gen AI inference. In this session, discover how GKE empowers customers to achieve high-performance, cost-effective, and scalable AI inference through cutting-edge Gen AI inference innovations.Plus, hear directly from one of our customers on how they are solving their AI/ML needs on GKE.

Session Topics: 
Data Privacy & Governance
Gen AI
Speaker(s): 

Author:

Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

Time: 
2:00 PM - 2:20 PM
Agenda Track No.: 
Track 2
Session Type: 
Track
Session Stage: