+1 This is a fantastic recommendation. I can see the community grows fast and good collaborative, submarine can be an independent project at now, thanks for all contributors.
FYI, Wanqiang Ji On Wed, Jul 10, 2019 at 3:34 PM Xun Liu <liu...@apache.org> wrote: > Hi all, > > This is Xun Liu contributing to the Submarine project for deep learning > workloads running with big data workloads together on Hadoop clusters. > > There are a bunch of integrations of Submarine to other projects are > finished or going on, such as Apache Zeppelin, TonY, Azkaban. The next step > of Submarine is going to integrate with more projects like Apache Arrow, > Redis, MLflow, etc. & be able to handle end-to-end machine learning use > cases like model serving, notebook management, advanced training > optimizations (like auto parameter tuning, memory cache optimizations for > large datasets for training, etc.), and make it run on other platforms like > Kubernetes or natively on Cloud. LinkedIn also wants to donate TonY project > to Apache so we can put Submarine and TonY together to the same codebase > (Page #30. > > https://www.slideshare.net/xkrogen/hadoop-meetup-jan-2019-tony-tensorflow-on-yarn-and-beyond#30 > ). > > This expands the scope of the original Submarine project in exciting new > ways. Toward that end, would it make sense to create a separate Submarine > project at Apache? This can make faster adoption of Submarine, and allow > Submarine to grow to a full-blown machine learning platform. > > There will be lots of technical details to work out, but any initial > thoughts on this? > > Best Regards, > Xun Liu >
