Announcing General Availability of Ray on Databricks
We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use...
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Announcing Ray Autoscaling support on Databricks and Apache Spark™
Ray is an open-source unified compute framework that simplifies scaling AI and Python workloads in a distributed environment. Since we introduced support for...
Introducing Apache Spark™ 3.5
Today, we are happy to announce the availability of Apache Spark™ 3.5 on Databricks as part of Databricks Runtime 14.0. We extend our...
Announcing Ray support on Databricks and Apache Spark Clusters
Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter...
Simplify Data Conversion from Apache Spark to TensorFlow and PyTorch
Petastorm is a popular open-source library from Uber that enables single machine or distributed training and evaluation of deep learning models from datasets...
Introducing Built-in Image Data Source in Apache Spark 2.4
Introduction With recent advances in deep learning frameworks for image classification and object detection, the demand for standard image processing in Apache Spark...