We have a project that will require data processing for machine learning. We currently using one GPU rig to process our is data set. We want to be able to distribute this work to multiple machines connected in a local intranet and later over the internet.
Our current goal is to connect three machines as one. We have 6 GPUs per machine that are 1070s currently our data set size is restricted to one machine. We want to allow for all three to work together and later allow for new machines to be added.
We currently working on translation and have a English to French model. Please reply if you are familiar with Distributed machine learning platform. Thank you.
18 freelance font une offre moyenne de €4087 pour ce travail
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1) Are you using Tensorflow ? If yes, using tfrecords ? 2) Have you taken care for device placement & tower loss for data/model parallesim I can help only if you are using pytorch,tensorflow & caffe. Do You Have Plus
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The customer is given a first choice between Debian GNU/Linux and Ubuntu Linux [login to view URL] will construct a Linux machine learning platform that is supportive of multiple components comprising of all the principles that Plus
Hello, Thanks for posting this project. Here we read your requirement and understand it. We have some queries . So we want to discuss with you. Please message us then we can discuss in detail and provide you e Plus
...can you provide more details. how far are you into this project? you just have it communicate over sockets or get one of those machines with 200 usbs and connect 200 gpus on one machine. call me for more details