2026-09-25 –, Ladd Room (Capacity 170)
AI workloads are exposing the limits of traditional scheduling assumptions in Kubernetes. When GPUs and other specialized accelerators enter the picture, platform design becomes far more complex. This session explains how Kubernetes must evolve to support accelerated computing at scale, with a focus on GPU allocation, Dynamic Resource Allocation (DRA), scheduling behavior, quota design, and capacity planning. The talk connects these technical mechanisms to the broader goal of building reliable and efficient AI platforms. Attendees will understand the operational implications of running accelerated workloads, the common pitfalls teams encounter, and the architectural patterns that can help improve fairness, utilization, and performance.
Being the best at what I do, seeking to deliver the best of me to others and trying to live a righteous life and be happy.
Growing as a person, always seeking improvement and success, providing everything in my scope, acquiring knowledge by learning from others, helping the growth of the workplace for mutual success.
I am an open-minded person, and free spirit, who likes to enjoy every moment, whether it is going out to enjoy sports, technology and family.
I lead digital transformation initiatives by designing open, scalable, and cloud-native architectures that empower global enterprises to innovate with agility and resilience. With deep expertise in middleware platforms and enterprise cloud solutions, I bridge the gap between strategy and execution. I am a visionary leader in DevSecOps, cloud-native, and serverless architectures, passionate about enabling interoperability, security, and performance across complex ecosystems. As a mentor, open source promoter, and founder, I am committed to shaping the next generation of technology leaders and advancing open innovation on a global scale.
Passionate about automation in all its forms.