Ask HN: What is your ML stack like?

Re:Ask HN: What is your ML stack like? by kevinskii on Tuesday November 12, 2019 @02:40PM (#21517335)

We're currently running a single NVIDIA RTX2080 with Tensorflow 2.0 on a Windows 10 station. We'll soon be switching to a standard multi-GPU rig running an air gapped Linux distro. Linux seems overall much better for ML because of better Docker integration and tensor core support on the newer GPUs. Also, we'll probably be switching from Tensorflow to Pytorch for model development. Pytorch requires a little bit more code, but debugging is 10X easier.

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Re:Ask HN: What is your ML stack like? by jedieaston on Tuesday November 12, 2019 @02:52PM (#21517468)

Why airgapped? Is it a business/security requirement? If you have to share the machine, does everybody have to thumb drive over their files to run with the big GPU?

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Re:Ask HN: What is your ML stack like? by kevinskii on Tuesday November 12, 2019 @05:48PM (#21519075)

Yes. The air-gapping isn’t ideal, but trying to get our IT org to accommodate a Linux workstation on the network just isn’t worth the hassle.

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Re:Ask HN: What is your ML stack like? by imagiko on Tuesday November 12, 2019 @02:50PM (#21517442)

And how do you get data on the fly [prediction phase]. Do you have an API call you make to get data that your ML algorithm can munch on?

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