Boonzies

Boonzies t1_jb76fpl wrote

You are not alone and most likely it's not you, it's them. The whole recruiting business is utterly fucked up. I've even had initial screening interviews by "Sr. Tech. Recruiters" that just two years earlier were working at the Gap folding shirts and pants. Sometimes it's intolerable and infuriating. Hang in there.

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Boonzies t1_jamzn2t wrote

There are some AMD GPU chips that might work. But Nvidia is just so much better integrated with TensorFlow and Pytorch and thus the much better hardware.

I equate machine learning to art. You may have great ideas and know-how but at some point you have to buy the material (e.g., good paint, canvas, the better brushes, clay, etc.) to bring your ideas to life.

I know it's frustrating having slow machines when testing models... It really kills the enthusiasm.

I suppose the best thing to do is get into or involved with or work for groups that have the hardware and go from there, or buy new good hardware, or build your own for half price.

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Boonzies t1_jamckvc wrote

Bottom line, in this field you will have to pay. Equipment, the tech, matters.

For most models I use my PC or laptop both of which have decent Nvidia cards, good CPUs, and ample RAM. I develop my models off line and when ready (if need be) for the final large scale training I use my AWS/Google accounts.

For super large models I go straight to AWS or Google.

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