Optimized Infrastructure: Maximizing Resource Utilization and Performance in Large-Scale Inferencing Systems | Kisaco Research
Session Topics: 
Optimized Infrastructure
Enterprise Use Case
Speaker(s): 

Author:

Hyungjun Kim

CEO
Squeezebits

Hyungjun Kim

CEO
Squeezebits

Author:

Brennen Smith

Head of Engineering
RunPod

Brennen Smith is Head of Engineering at RunPod, building AI-focused GPU infrastructure that powers AI innovation at scale. With 10+ years in distributed systems, cloud architecture, and security, he has led teams delivering critical infrastructure supporting billions of active users. He led the development of Apple’s GPU Edge, expanding Apple’s Edge to support secure realtime workloads globally. He also developed multiple core methodologies used by the telecommunications industry to measure network performance.

Brennen Smith

Head of Engineering
RunPod

Brennen Smith is Head of Engineering at RunPod, building AI-focused GPU infrastructure that powers AI innovation at scale. With 10+ years in distributed systems, cloud architecture, and security, he has led teams delivering critical infrastructure supporting billions of active users. He led the development of Apple’s GPU Edge, expanding Apple’s Edge to support secure realtime workloads globally. He also developed multiple core methodologies used by the telecommunications industry to measure network performance.

Author:

Meeta Lalwani

Senior Director of Product Management
Virtana

Meeta Lalwani is Senior Director of Product Management at Virtana, where she leads the company’s AIOps, Generative AI, and Event Intelligence portfolio for its SaaS-based observability platform. With over 18 years of experience in enterprise software, she has a track record of delivering products that solve complex infrastructure challenges at scale.

At Virtana, Meeta drives the vision and execution for AI Factory Observability, enabling organizations to monitor, troubleshoot, and optimize performance across GPUs, compute, network, storage, and AI workloads. Her expertise spans full-stack observability, large-scale distributed systems, and applying AI/ML to improve system reliability and efficiency.

Meeta is known for bridging deep technical insight with practical business outcomes, helping teams reduce costs, increase performance, and accelerate innovation in demanding hybrid and AI-first environments.

 

Meeta Lalwani

Senior Director of Product Management
Virtana

Meeta Lalwani is Senior Director of Product Management at Virtana, where she leads the company’s AIOps, Generative AI, and Event Intelligence portfolio for its SaaS-based observability platform. With over 18 years of experience in enterprise software, she has a track record of delivering products that solve complex infrastructure challenges at scale.

At Virtana, Meeta drives the vision and execution for AI Factory Observability, enabling organizations to monitor, troubleshoot, and optimize performance across GPUs, compute, network, storage, and AI workloads. Her expertise spans full-stack observability, large-scale distributed systems, and applying AI/ML to improve system reliability and efficiency.

Meeta is known for bridging deep technical insight with practical business outcomes, helping teams reduce costs, increase performance, and accelerate innovation in demanding hybrid and AI-first environments.

 

Time: 
2:30 PM - 3:10 PM
Agenda Track No.: 
Track 2
Session Type: 
Track
Session Stage: