Scaling machine learning with multi-GPU RAPIDS
Event Information
About this event
February 16th, 2022
8:30 AM PT | 11:30 AM ET | 4:30 PM GMT | 5:30 PM CET
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A 60min step by step walk through on how to scale machine learning with multi-GPU RAPIDS on Hyperplane with Oracle Cloud
RAPIDS is a suite of open source software libraries and APIs that gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.
Hyperplane is an end-to-end machine learning platform that integrates multitude of powerful open-source point solutions. Hyperplane gives data scientists and engineers a familiar experience with many painstaking tasks fully automated to just one click away.
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February 16th, 2022: 11:30-13:00
Event room will be open from 11:20.
Agenda
Intro to Hyperplane & RAPIDS
Workshop on performance improvements with RAPIDS: scaling with cuDF from CPU to GPU
Workshop on performance improvements with multi-GPUs: scaling with multi-node GPU
Scaling GPU performance with Oracle Cloud Infrastructure (OCI)
Question & Answers
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Speakers:
Stella Wu - Head of ML at Shakudo
Stella is a machine learning researcher experienced in developing AI models for real life applications. Stella has built machine learning models in natural language processing, time-series prediction, self-supervised learning, recommendation system and image processing at BMO, Borealis AI and several startups. Stella has a PhD in geophysical modeling from University of Münster in Germany.
Brian Klobucher - Senior Manager for Developer Relations at NVIDIA
Brian is a Senior Manager for Developer Relations at NVIDIA. His background includes product and program management of intelligent software advanced concepts. Brian's experience spans multiple disciplines, such as business, technology, customer advocacy and the grey areas in between.
Anup Ojah - Senior Manager for Global HPC Cloud Engineering at Oracle
Anup Ojah is a Senior Manager at Oracle Corporation, responsible for leading a global cloud engineering team specializing in High-Performance Computing (Supercomputers) using CPU and GPU based architecture. Anup has more than 20 years of IT experience, primarily as an Architect, and in the last ten years, he spent most of his time helping Enterprises migrate their on-premise workload to the cloud. Anup has a Bachelor's Degree in Mechanical Engineering and is currently pursuing his MBA from Washington State University (WSU).