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Event
Activities tracked
2
Zoom link: https://us02web.zoom.us/j/82308186562
Talk #0: Introductions and Meetup Updates by Chris Fregly and Antje Barth
Talk #1: Speed of Light Inference w/ NVIDIA and AMD GPUs using the Modular Platform by Abdul Dakkak @ Modular This technical presentation will demonstrate how the Modular platform can be used to scale AI workloads across various clusters. It will delve into the collaborative functionality of the Modular stack, encompassing Modular Cloud (a cluster-level solution), MAX (the framework and runtime), and Mojo (the programming language). Together, these components deliver exceptional performance and significantly reduce Total Cost of Ownership (TCO) across both NVIDIA and AMD GPU architectures.
Talk #2: Advanced and Accelerated Data Curation and Visualizations for LLMs with NVIDIA CuML, DBSCAN, and tSNE (Performance-focused) by Theo Viel and Danta Gama Dessavre @ NVIDIA This technical talk will focus on applying high-performance techniques to data curation and visualization tasks using NVIDIA CuML, DBSCAN, and tSNE.
Zoom link: https://us02web.zoom.us/j/82308186562
Related Links Github Repo: http://github.com/cfregly/ai-performance-engineering/ O'Reilly Book: https://www.amazon.com/Systems-Performance-Engineering-Optimizing-Algorithms/dp/B0F47689K8/ YouTube: https://www.youtube.com/@AIPerformanceEngineering Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm
Sessions & talks
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This technical talk will focus on applying high-performance techniques to data curation and visualization tasks using NVIDIA CuML, DBSCAN, and tSNE.
This technical presentation will demonstrate how the Modular platform can be used to scale AI workloads across various clusters. It will delve into the collaborative functionality of the Modular stack, encompassing Modular Cloud (a cluster-level solution), MAX (the framework and runtime), and Mojo (the programming language). Together, these components deliver exceptional performance and significantly reduce Total Cost of Ownership (TCO) across both NVIDIA and AMD GPU architectures.