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28-29, August 2025
Amsterdam, Netherlands
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday August 28, 2025 15:40 - 15:50 CEST
Generative AI workloads have introduced a new class of infrastructure challenges—massive model sizes, unpredictable bursty inference, tight latency budgets, and soaring GPU costs. While teams invest heavily in model compression and distillation, they often overlook the other half of the equation: the ML pipeline.
Speakers
avatar for Shashidhar Shenoy

Shashidhar Shenoy

Senior Software Engineer, Google
Shashidhar Shenoy is a software engineer and technical leader specializing in distributed systems, AI/ML infrastructure, and scalable authentication platforms. With over a decade of experience, he has led high-impact projects, including optimizing cloud infrastructure for AI/ML workloads... Read More →
avatar for Achyut Sarma Boggaram

Achyut Sarma Boggaram

Sr. Machine Learning Engineer (Tech Lead), Torc Robotics
As a Sr. Machine Learning Engineer at Torc Robotics, I am building critical ML infrastructure for the L4 self-driving class-8 trucks, paving the way for safer transportation of freight.
Thursday August 28, 2025 15:40 - 15:50 CEST
G104

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