session
About the Talk
In this presentation, we unveil a paradigm-shifting methodology for GPU load testing, fusing generative AI workloads with Python-Docker orchestration and JMeter integration. Leveraging Nvidia GPUs and the Stable Diffusion model, our approach faithfully replicates real-world scenarios, facilitating comprehensive performance assessment.
We elucidate the technical intricacies of our framework, demonstrating how Docker containers seamlessly manage workload generation and GPU utilization, while Python scripts orchestrate AI model deployment. Integration with JMeter further enhances testing capabilities, enabling holistic evaluation of GPU performance across diverse workloads.
Through rigorous experimentation and validation, we showcase the precision and scalability of our method in optimizing GPU infrastructure for modern computing demands. Join us to explore the transformative potential of generative AI in revolutionizing GPU load testing practices.
Key Takeaways:
Vishnu is a Distinguished Member of Technical Staff (DMTS) at Dell Technologies, holds a Masters in Software Systems from BITS Pilani and boasts over 18 years of experience leading Tools and Automation Development efforts. His expertise spans across domains including Server, Storage, and System Management Software. Vishnu is responsible for delivering groundbreaking projects like Zeno - a Continuous Test Automation framework, JAAS (JMeter As A Service), ICEMAN (Information CollEctor Monitor Analyzer), and various Process Improvement and Automation Tools. He holds an impressive record of 9 Patents granted by USPTO and has had 128 Disclosures recognized by the Dell Patent Committee. Vishnu is a seasoned presenter, having shared his insights through technical papers at esteemed conferences such as PNSQC2021, Pycon, STeP-IN, Targeting Quality 2019, SNIA, and Quality Connect.
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