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The PyTorch foundation has a cloud credits program that allows them to request contributions from industry in the form of cloud credits, that they can then allocate for various needs of the project (PyTorch).
At Jupyter we have a wide range of needs that could use this, historically the most visible ones have been Binder and NBViewer, but more recently the JupyterLab and other teams have talked about using Jupyter to host notes instead of google docs or HackMD, and one important bottleneck is the lack of a fully hosted service that can provide all the necessary pieces.
While credits alone don't solve everything (for some tasks there's also engineering needed that can be a bottleneck), credits can be a huge help. Having a core pool of credits for key tasks would relieve the pressure on people like @choldgraf and others who for so long did a huge amount of advocacy to get credits for Binder.
The text was updated successfully, but these errors were encountered:
The PyTorch foundation has a cloud credits program that allows them to request contributions from industry in the form of cloud credits, that they can then allocate for various needs of the project (PyTorch).
At Jupyter we have a wide range of needs that could use this, historically the most visible ones have been Binder and NBViewer, but more recently the JupyterLab and other teams have talked about using Jupyter to host notes instead of google docs or HackMD, and one important bottleneck is the lack of a fully hosted service that can provide all the necessary pieces.
While credits alone don't solve everything (for some tasks there's also engineering needed that can be a bottleneck), credits can be a huge help. Having a core pool of credits for key tasks would relieve the pressure on people like @choldgraf and others who for so long did a huge amount of advocacy to get credits for Binder.
The text was updated successfully, but these errors were encountered: