Scaling machine learning with multi-GPU RAPIDS

Shakudois an end-to-end data science platform provider. Users can easily go from development and experimentation of their data science models to scaling their models to process terabytes of data. Built by leaders in AI space, we focused on making the experience of scaling data science models intuitive and easy.

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Scaling machine learning with multi-GPU RAPIDS on Hyperplane with Oracle Cloud

February 16th, 20228:30 AM PT | 11:30 AM ET | 4:30 PM GMT | 5:30 PM CETNot available to join?Register anyway and we will send you the recording!A 60min step by step walk through on how to scale machine learning with multi-GPU RAPIDS on Hyperplane with Oracle Cloud<a href="https://rapids.ai/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">RAPIDS</a> 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.<a href="https://shakudo.io/hyperplane?utm_source=eventbrite&amp;utm_medium=eventdescription&amp;utm_campaign=Feb16_webinar" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Hyperplane</a> 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.----------------------February 16th, 2022: 11:30-13:00Event room will be open from 11:20.AgendaIntro to Hyperplane &amp; RAPIDSWorkshop on performance improvements with RAPIDS: scaling with cuDF from CPU to GPUWorkshop on performance improvements with multi-GPUs: scaling with multi-node GPU Scaling GPU performance with Oracle Cloud Infrastructure (OCI)Question &amp; Answers----------------------Speakers:Stella Wu - Head of ML at <a href="https://shakudo.io/?utm_source=eventbrite&amp;utm_medium=eventdescription&amp;utm_campaign=Feb16_webinar" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Shakudo</a>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 NVIDIABrian is a Senior Manager for Developer Relations at NVIDIA. His background includes product and program management of intelligent software advanced concepts. Brian&#x27;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 OracleAnup 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&#x27;s Degree in Mechanical Engineering and is currently pursuing his MBA from Washington State University (WSU).

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Scaling machine learning with multi-GPU RAPIDS

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Scaling machine learning with multi-GPU RAPIDS

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