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> But then again, if your workflow is linear algebra heavy, shouldn't you be doing that on a workstation or a cluster and not your little MacBook?

Blender, Gimp / Photoshop, Video Editing, LTSpice / PSpice and Matlab come to mind. These are consumer-ish workflows that benefit from linear algebra, but people want to do them on their laptops.

Hell, people are doing video editing on their PHONES these days, due to the convenience.

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Workstations and clusters are not affordable for the vast majority of users.

GPUs probably are affordable however. But these programs aren't really operating on GPUs yet (I mean, Blender and some Video Editing programs are... but LTSpice / Matlab are CPU-only still)




Clusters are affordable, given that cloud hosting is a commodity now. Digital Ocean, for instance, charge nothing for traffic between nodes if they are hosted at the same data centre.

Julia, in particular, has the interesting-looking JuliaHub service in the pipeline: https://www.youtube.com/watch?v=JVUJ5Oohuhs&feature=youtu.be...


That's not compute and has nothing to do with the latency and bandwidth you would need to have the same interactivity.

Digital Ocean moving data internally for free has nothing to do with offloading video editing from a laptop.


A lot of cloud GPU providers charge $1000 per node per month.

Also AWS and GCP are not providing a commodity service. They charge hefty margins.




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