The Most Important Part of Your AI Cluster Isn’t What You Think – DriveNets Triple-T
Let’s start with an amazing fact : despite massive investment in AI infrastructure, most AI clusters operate at just 50–70% average GPU utilization, even during peak periods, highlighting an efficiency gap between theoretical performance and real-world AI infrastructure – we will break down the building blocks of AI clusters and how the most critical parts can be optimized for peak performance.
Sani serves as a director of AI Networking at DriveNets. With over 25 years experience in communications systems and semiconductors, Sani brings expertise in AI, networking, wireless communications, and autonomous driving accumulated at a variety of organizations including Arbe, Microchip, Microsemi, Radwin and Siemens. He holds a BSc in Electrical & Computer Engineering from Ben-Gurion University and a Masters in Entrepreneurship and Innovation from Swinburne University of Technology.
