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Date: Wednesday, May 25, 2022
Time: 10:00 - 11:00 PT
Duration: 1 hour

Organizations across industries are leveraging machine learning (ML) to gather insights, improve the customer experience, and drive operational efficiencies. However, building an ML application requires large amounts of training data, software and hardware infrastructure to train the ML models, and tools to run real-time inference that scales with demand.

Join this webinar to learn how performance-optimized AI software from the NVIDIA NGC™ catalog helps companies build ML-powered applications faster. Vertex AI Workbench minimizes context switching through native integration of BigQuery and Cloud Storage, supports distributed Spark jobs, and simplifies packaging notebooks and scaling out to larger GPU clusters with a single click.

You’ll also see how to build a machine learning application to predict bike rental durations and use this example as a template for building your own ML applications.

In this webinar, you will learn:
  • How to deploy Jupyter Notebooks for AI software and ML models from the NGC catalog on Google Cloud Vertex AI
  • How Google Cloud Vertex AI Workbench helps companies build AI over 5X faster through native integrations to access data and run distributed jobs, ready to go pre-built runtimes for frameworks, and ability to package notebooks and run on GPU clusters with one click
  • How to accelerate ETL, train an XGBoost model, and use SHAP to gain insights into the predictions made by the model
Join us after the presentation for a live Q&A session.



You will receive an email with instructions on how to join the webinar shortly.


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DGX Station Datasheet

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DGX Station Whitepaper

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DGX Station Whitepaper

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Nikita Namjoshi

Developer Advocate, Google Cloud

Nikita is a Developer Advocate for Google Cloud, where she helps machine learning engineers build, deploy, and scale models. She previously worked on the TensorFlow team. When she's not creating demos or tutorials, you’ll find her caring for houseplants and discovering new ways to lower her environmental footprint.

Chintan Patel

Senior Product Marketing Manager, NGC, NVIDIA

Chintan Patel is focused on bringing GPU-accelerated solutions to the high performance computing (HPC) community. He leads the management and offering of HPC application containers in the NGC catalog. Prior to NVIDIA, he held product management, marketing, and engineering positions at Micrel, Inc. He holds an MBA from Santa Clara University and a bachelor's degree in electrical engineering and computer science from UC Berkeley.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018