How to use Apache TVM to optimize your ML models
Apache TVM is an open source machine learning compiler that distills the largest, most powerful deep learning models into lightweight software that can run on the edge. This allows the outputed model to run inference much faster on a variety of target hardware (CPUs, GPUs, FPGAs & accelerators) and save significant costs.
In this deep dive, we’ll discuss how Apache TVM works, share the latest and upcoming features and run a live demo of how to optimize a custom machine learning model.
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Видео How to use Apache TVM to optimize your ML models канала Databricks
In this deep dive, we’ll discuss how Apache TVM works, share the latest and upcoming features and run a live demo of how to optimize a custom machine learning model.
Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
Видео How to use Apache TVM to optimize your ML models канала Databricks
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