tf.data is the recommended API for creating TensorFlow input pipelines and is relied upon by countless external and internal Google users. The API enables you to build complex input pipelines from simple, reusable pieces and makes it possible to handle large amounts of data, different data formats, and perform complex transformations. In this talk, I will present an overview of the project and highlight best practices for creating performant input pipelines.
tf.data is the recommended API for creating TensorFlow input pipelines and is relied upon by countless external and internal Google users. The API enables you to build complex input pipelines from simple, reusable pieces and makes it possible to handle large amounts of data, different data formats, and perform complex transformations. In this talk, I will present an overview of the project and highlight best practices for creating performant input pipelines.
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Videos
In this talk, Bin Fan, VP of Technology at Alluxio, explores how to enable efficient data access across distributed GPU infrastructure, achieving low-latency performance for feature stores and RAG workloads.