Our monthly Ray technical talks. This month we have two Ray committers and a Ray user to share with the community:
* How to use Ray for batch inference at scale, comparing solutions against other alternatives such as Apache Spark and SageMaker.
* How Ray Data streaming can be used to further optimize hardware accelerators (CPUs and GPUs) for parallel pipeline execution.
* How Ray is used at Pinterest for workflow-oriented ML development