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radekwlsk

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    Poland
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    Python Developer

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  1. Again. There is no need to connect the two GPUs. In ML they can do both different tasks. You assign which GPU has to do what. They use different data and different logic at the same time. But they do not have to talk to each other. Only to CPU and for that I went up to X470 mobo.
  2. I was able to prepre dual RTX 2060 system with 32GB RAM and 650W PSU for the same cost as RTX 2080, 16GB RAM and 850W PSU (for later dual GPU option).
  3. SLI is not required for Machine Learning anyway. But true that B450 for dual GPU would be a bad choice due to apparent 4 PCIe lanes in the second slot. So I will try to fit X470 mobo in there. RTX 2060 is much more cost efficient than higher cards so it will probably stay in that build if 6GB of memory will be enough for the future owner of that machine.
  4. Thing is that for ML with parallelization you can use both of them separately for different tasks. More on that here: Tim Dettmers - "Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning"
  5. I was asked to prepare parts list for Machine Learning PC with budget of $1200 (roughly, real budget is 5000PLN which is bit over $1300 but prices in Poland may vary from US). So, here is part list of the build that I prepared: Main requirement was dual GPU for Computer Vision ML applications but with that budget I moved to single GPU with option to upgrade later down the line. But still couldn't go too high and I have chosen RTX 2060. Other parts are meant to stay as they are but still provide ways to upgrade (hence 850W PSU). So there are 2 slots for more RAM left, enough power for second GPU even along with more powerful CPU. Went for fast AF main storage M.2 NVMe SSD with 500GB to keep currently used data sets and 2TB HDD for long time storage of those. If there is something wrong, any overkill part, compatibility issues: please let me know. If there is anyone that does ML and has any advice feel free to roast me, I think advice would be most appreciated regarding GPU choice (keep in mind target dual GPU setup).
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