Hey all! My team and I are working on a Jupyter extension that allows Jupyter users running compute-heavy code (i.e. ML training) to drastically reduce total cumulative runtime of their projects. How? By first providing visibility on a dashboard into their trusted peers’ idle compute power (labmates’ / friends’ laptops & desktops) and second, sending the code to this other laptop and commanding the execution via our extension. We'd love to hear from the community via *this survey* <https://goo.gl/forms/TSFBpwxyGejkle482> to assess a) if the pain point is big and frequent enough to warrant our extension and if so, b) specific features you'd like to see in the extension. Please submit *before 10/15*.
We're trying to reach every loyal Jupyter user out there so my apologies if you hear from us in another forum over the course of the weekend; thank you so much for your time and thoughtful responses. - (A different, less famous) Fernando -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to jupyter+unsubscr...@googlegroups.com. To post to this group, send email to jupyter@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/bf6708f5-cf0f-4c17-9a74-3a8761d66097%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.