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GPU Load Testing Through Generative AI Workloads | Vishnu Murty

GPU Load Testing Through Generative AI Workloads | Vishnu Murty

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About the talk

Watch the session by ๐•๐ข๐ฌ๐ก๐ง๐ฎ ๐Œ๐ฎ๐ซ๐ญ๐ฒ ๐Š๐š๐ซ๐ซ๐จ๐ญ๐ฎ, Distinguished Member of Technical Staff (DMTS), Dell Technologies, where he unveils a paradigm-shifting methodology for GPU load testing, fusing generative AI workloads with Python-Docker orchestration and JMeter integration. He shows how to leverage Nvidia GPUs and the stable diffusion model to replicate real-world scenarios, facilitating comprehensive performance testing.

Key Highlights

35+ Sessions

60+ Speakers

20,000+ Attendees

2000+ Minutes

Live Q&As

Key Topics Covered

Understand the integration of generative AI with Python-Docker and JMeter for GPU load testing.

Gain insight into the technical components involved, including Docker containerization and Python scripting.

Recognize the benefits of the approach, such as improved testing accuracy and potential infrastructure optimization, while setting the stage for future research directions.

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