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RTX Titan for machine learning

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rhussain
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2019/12/18 19:31:27 (permalink)
Hey guys, I need your help and advice regarding a major GPU upgrade I have in mind. I am starting to become more involved in AI and machine learning work and I am considering the purchase of two RTX Titan GPU's with educational discount from Nvidia. Here is my current build (https://www.modsrigs.com/detail.aspx?BuildID=40029). I am not sure if my PSU will be able to handle the load of both cards at 100% utilization for days or weeks at a time. I have the Corsair AX 860 watt PSU. My workload is mostly VRAM intensive which is why I need all 48GB of VRAM from bridging the two cards with NVLink. What are your thoughts? or suggestions? Anyone here have any direct experience configuring NVLink on the Titan RTX? I am wondering if these two cards can be unified as one computer device in the drivers.

 



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    Sajin
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    Re: RTX Titan for machine learning 2019/12/18 21:26:42 (permalink)
    You'll need a 1000w minimum. I'd get 1200w. Memory pooling will be dependent on the software you're running.
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    wmmills
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    Re: RTX Titan for machine learning 2019/12/19 05:49:45 (permalink)
    Sajin
    You'll need a 1000w minimum. I'd get 1200w. Memory pooling will be dependent on the software you're running.


    +1...id go 1200 if your going to be running two of them for efficiencys sake and some wiggle room.

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    kevinc313
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    Re: RTX Titan for machine learning 2019/12/19 07:02:35 (permalink)
    With that case setup and front mount AIO you're going to be starving the GPU's for air in a major way, I'd look into something with 3 unobstructed intake fans and a top mount AIO spot.
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    rhussain
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    Re: RTX Titan for machine learning 2019/12/22 18:24:44 (permalink)
    Thanks for all your suggestions folks. I'll rethink the power supply and cooling. I might consider getting one card at the moment for my workload and see how it performs. Does anyone think a single titan rtx will outperform a 1080ti or 2080ti when it comes to training neural network models? I am particularly testing with tensorflow.

     



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    MasterMiner
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    Re: RTX Titan for machine learning 2019/12/22 18:34:00 (permalink)
    rhussain
    Thanks for all your suggestions folks. I'll rethink the power supply and cooling. I might consider getting one card at the moment for my workload and see how it performs. Does anyone think a single titan rtx will outperform a 1080ti or 2080ti when it comes to training neural network models? I am particularly testing with tensorflow.


    A single Titan RTX will blow anything any single GeForce card can do out of the water. But if $2500 is your hard dollar limit I’d go with 2 stock (Founder Edition clones) of the 2080 ti with NVLink - that should run you about same. Slightly less pooled memory (22 vs 24 gb) but more Cuda and tensor cores with a 2 card setup.

    If you’re planning a second card in the future, then get the Titan RTX. As discussed, both Titan RTX and 2080ti are hardware locked out of pcie memory pooling (unlike previous geforce 10-series which could pool memory of as many cards as you could put on a single node). Nvidia killed that off with the RTX cards. So 48 gb (2 Titan RTX) cards with nvlink is kinda your limit for model size.

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