One more thing, even using docker, we still need to install the nvidia driver on the host OS. nvidia-docker images only have cuda and cudnn.
btw, I think the AMI is similar to docker images to end users. If users want a new clean environment, he can start a new EC2 instance using the AMI directly.. regards, wang wei On Thu, Feb 16, 2017 at 1:11 PM, Moaz Reyad <[email protected]> wrote: > docker comes automatically in the AMI : > > http://docs.aws.amazon.com/AmazonECS/latest/developerguide/ > ecs-optimized_AMI.html > > There is a trick to make nvidia docker works: > > https://blog.cloudsight.ai/deep-learning-image-recognition- > using-gpus-in-amazon-ecs-docker-containers-5bdb1956f30e#.2l35ojv1p > > I assume Amazon EC2 will hide the docker stuff form the user. users may be > able to see the docker container as any normal Amazon EC2 machine. > Moaz > > > On 16/02/2017 13:05, Wang Wei wrote: > > docker is very useful. but in this way, we need to install docker and > nvida-docker, and assume users know how to use docker. > > On Thu, Feb 16, 2017 at 1:04 PM, Moaz Reyad <[email protected]> wrote: > >> Ok. Let me think about the best way to do it. >> >> I was thinking to use the nvidia docker image that comes already with >> cuda/cudnn, then we install singa-cuda.deb on it and push it to the >> marketplace. Let me see if this can work. >> >> Moaz >> On 16/02/2017 12:55, Wang Wei wrote: >> >> I think we can. Amazon is dong it in this way as mentioned in the video >> meeting. >> >> On Thu, Feb 16, 2017 at 12:41 PM, Moaz Reyad <[email protected]> >> wrote: >> >>> Thanks. >>> >>> We can create GPU AMI, but I am not sure we can publish it in the Amazon >>> marketplace. >>> >>> Moaz >>> >>> >>> >> > >
