Hi, hadoop submarine team

I am the head of the development of the machine learning platform of the Dahua 
Research Institute of Dahua (https://www.dahuatech.com/).
We use hadoop submarine as a machine learning engine.
Through machine learning algorithms,
Characterizing our image and video data,

Currently, hadoop submarine is not good enough for model serving.
I hope that the version of hadoop submarine is updated faster.
+1

---------- Forwarded message ---------
发件人: Szilard Nemeth <snem...@cloudera.com<mailto:snem...@cloudera.com>>
Date: 2019年7月17日周三 下午2:55
Subject: Re: Any thoughts making Submarine a separate Apache project?
To: runlin zhang <runlin...@gmail.com<mailto:runlin...@gmail.com>>
Cc: Xun Liu <liu...@apache.org<mailto:liu...@apache.org>>, Hadoop Common 
<common-...@hadoop.apache.org<mailto:common-...@hadoop.apache.org>>, 
<yarn-...@hadoop.apache.org<mailto:yarn-...@hadoop.apache.org>>, Hdfs-dev 
<hdfs-...@hadoop.apache.org<mailto:hdfs-...@hadoop.apache.org>>, 
<mapreduce-...@hadoop.apache.org<mailto:mapreduce-...@hadoop.apache.org>>, 
<submarine-dev@hadoop.apache.org<mailto:submarine-dev@hadoop.apache.org>>

+1, this is a very great idea.
As Hadoop repository has already grown huge and contains many projects, I think 
in general it's a good idea to separate projects in the early phase.


On Wed, Jul 17, 2019, 08:50 runlin zhang 
<runlin...@gmail.com<mailto:runlin...@gmail.com>> wrote:
+1 ,That will be great !

> 在 2019年7月10日,下午3:34,Xun Liu <liu...@apache.org<mailto:liu...@apache.org>> 写道:
>
> 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


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