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A comment on OpenGPT-2: We Replicated GPT-2 Because You Can Too. Parent comment

Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by ageitgey on Friday August 23, 2019 @10:10AM (#20777783)
Inferencing on this model works fine on Google Colab which gives Tesla K80 GPU with access to 12GB of GPU RAM. You can buy a used K80 for probably about $850, but it's not really ideal for putting in a home computer because of the cooling requirements.

[ deleted reference to 2070 Super ]

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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by p1esk on Friday August 23, 2019 @11:41AM (#20778723)
Used K80 can be had for $350 [1] Not bad actually (it's probably as fast as 1080Ti, and has 24GB of memory).

https://www.ebay.com/itm/NVIDIA-Tesla-K80-GDDR5-24GB-CUDA-PC...

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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by happycube on Friday August 23, 2019 @12:26PM (#20779179)
K80 is 2 GPU chips with 12GB, so it's not always as good as one newer/larger GPU. Much more affordable though :)
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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by p1esk on Friday August 23, 2019 @12:39PM (#20779352)
If I remember correctly K80 memory is actually 24GB, not 2x12GB. This is a pretty important distinction in this context (training GPT-2).

Also, you can get at least 6 K80s for the price of a single RTX Titan (also 24GB). So it would be faster (I don't think RTX Titan is 6x faster than K80) and 6x more memory for the same price. It's a very good deal.

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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by lostmsu on Tuesday August 27, 2019 @02:55AM (#20806918)
300w with passive cooling? o-O

How does that work?

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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by p1esk on Tuesday August 27, 2019 @05:36AM (#20807742)
You would cool the server.
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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by acd10j on Friday August 23, 2019 @10:45AM (#20778159)
since when RTX 2070 ship with 14GB of GPU Ram, Max memory for RTX 2070 super is 8 GB.
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Re:OpenGPT-2: We Replicated GPT-2 Because You Can Too by ageitgey on Friday August 23, 2019 @10:57AM (#20778291)
Oops, you are correct. I mis-read the spec sheet.
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