Introduction
In 2017, we introduced Horovod, an open source framework for scaling deep learning training across hundreds of GPUs in parallel. At the time, most of the deep learning use cases at Uber were related to the research and …
Travis Addair
Travis Addair is a software engineer at Uber AI leading the Deep Learning Training team as part of the Michelangelo AI platform. He leads the Horovod open source project and chairs its Technical Steering Committee within the Linux Foundation.
Engineering Blog Articles
Horovod v0.21: Optimizing Network Utilization with Local Gradient Aggregation and Grouped Allreduce
We originally open-sourced Horovod in 2017, and since then it has grown to become the standard solution in industry for scaling deep learning training to hundreds of GPUs. With Horovod, you can reduce training times from days or weeks to …
Ludwig v0.3 Introduces Hyperparameter Optimization, Transformers and TensorFlow 2 support
In February 2019, Uber released Ludwig, an open source, code-free deep learning (DL) toolbox that gives non-programmers and advanced machine learning (ML) practitioners alike the power to develop models for a variety of DL tasks. With use cases spanning text …
