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vasta.ai provides access to GPUs on third party machines. Data may not be private or secure. See discussion here: https://vast.ai/faq/
Varies based on supply and demand.
10GB storage is included in the price shown (it's $.002/hr, as you see if bidding for a server)
It costs $.02/GB to upload and download data.
You get $2.00 of credit when you enter your payment info.
Step 1: Navigate your browser to https://vast.ai/console/create/
Fill out the form and check your email to confirm signup.
Click Select Image.
Choose pytorch/pytorch.
For version tag to use choose the one that starts with nightly_devel_cuda9.2
Accept a price and start by pressing Rent on the machine of your choice. Or make a Make Bid to bid on a machine. If you a make a bid and then someone rents the machine at the full price, you loose out. Renting leads to less frustration than bidding.
If a machine has an AWS, Google Cloud, or Paperspace logo, then clicking Rent will just take you to that provider's website.
You will be asked to setup your payment info.
Payment info from vast.ai: Billed every Friday. You won't be charged until your credits run out. We use Stripe , so your card is never sent to our servers.
It will take a few minutes to load. Click on Instances in the menu on the left. Click on Start on your instance Click on Connect when the button changes to Connect
Step 7: Your JupyterNotebook or JupyterLab should automatically open on your browser at "https://jupyter.vast.ai/..."
Install fastai and you're off!
!pip install fastai
import torch
print(torch.__version__)
print(torch.cuda.is_available())
print(torch.backends.cudnn.enabled)
It should take a minute or two to install fastai. Then you should see output that starts with 1.0 and True True
import fastai
print(fastai.__version__)
from fastai import *
from fastai.vision import *
You should see output that starts with 1.0
Proceed to code.