4 ms·
grab a gpu and just start building and tinkering with pytorch. find a project to work on. make sure whenever your pc used to be idle it is now always training
by nathants 4y ago
grab a gpu and just start building and tinkering with pytorch.
find a project to work on.
make sure whenever your pc used to be idle it is now always training something.
comma ai has two good projects on their github, the speed and calibration challenges. there are many others around.
- hedgehog0 4y agoI’m thinking about getting something cheap like 1080ti or 2080ti. However, I have an Intel MacBook Pro that’s 12 years old, so it definitely cannot support Nvidia GPUs. I’m currently learning on Google Colab. I’m considering getting a second hand thinkpad laptop, but would running a GPU locally take up a lot of energy, thus electric?
- nathants 4y agoa second hand gaming pc would be a better yet. work on your macbook and ssh to the pc for training. 24/7 gpu usage does use energy. whether or not it is a lot depends on your current energy usage.
- hedgehog0 4y agoI’m still a grad student in math, so I cannot really buy a gaming PC.
- t-3 4y agoIf you don't have space for it, that's one thing, but PCs are actually cheaper than laptops on most metrics, and can be assembled piece by piece. GPU prices are insane nowadays, but you can find them used from mining ops for pretty low prices. A few generations old Ryzen is still way faster than any laptop CPU, RAM and SSDs are cheap as hell, PSU and box can be found for reasonable prices if you shop around.
- neural_thing 4y agoValue for money, hard to beat Colab Pro if you're just learning.
- hedgehog0 4y agoWhat do you think of lambda labs or paper spaces compared to it?
- tukantje 4y agoAny suggestions on how to turn this second PC into a remote thing? (i.e. code on one device, and this second PC just runs training)
- nathants 4y agoecho change code && rsync -ahvc $(pwd) pc: && ssh pc python train.py