Machine Learning Frameworks Interoperability, Part 3: Zero-Copy in Action using an E2E Pipeline – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Christian Hundt <![CDATA[Machine Learning Frameworks Interoperability, Part 3: Zero-Copy in Action using an E2E Pipeline]]> http://www.open-lab.net/blog/?p=36553 2022-08-21T23:52:32Z 2021-09-01T15:00:00Z Introduction Efficient pipeline design is crucial for data scientists. When composing complex end-to-end workflows, you may choose from a wide variety of...]]> Introduction Efficient pipeline design is crucial for data scientists. When composing complex end-to-end workflows, you may choose from a wide variety of...

Efficient pipeline design is crucial for data scientists. When composing complex end-to-end workflows, you may choose from a wide variety of building blocks, each of them specialized for a dedicated task. Unfortunately, repeatedly converting between data formats is an error-prone and performance-degrading endeavor. Let��s change that! In this blog series, we discuss different aspects of��

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