My experience has been all GPU-intensive workflows have been pushed to the cloud. It works a lot better for CI/CD purposes as well, and most of the larger datasets are too practically large for your laptop, it ends up being prohibitively slow to download datasets from databases to your own laptop and then train on your local machine.
I could be biased since most of my network is in the startup scene in SV, where hardware cost is generally the LAST thing most companies worry about. I haven’t seen a non-mac software company that’s not a 5000+ dinosaur person company.
I guess it depends on circumstances, for an example, I would develop GUI Toolkit that utilizes Vulkan Compute for computing various indicators and trading analysis on the front-end that takes in billions of candlesticks for second by second tradings. Having a real-time feedback by adjusting the indicator algorithm is very handy to have in a trading software.
My experience has been all GPU-intensive workflows have been pushed to the cloud. It works a lot better for CI/CD purposes as well, and most of the larger datasets are too practically large for your laptop, it ends up being prohibitively slow to download datasets from databases to your own laptop and then train on your local machine.
I could be biased since most of my network is in the startup scene in SV, where hardware cost is generally the LAST thing most companies worry about. I haven’t seen a non-mac software company that’s not a 5000+ dinosaur person company.
I guess it depends on circumstances, for an example, I would develop GUI Toolkit that utilizes Vulkan Compute for computing various indicators and trading analysis on the front-end that takes in billions of candlesticks for second by second tradings. Having a real-time feedback by adjusting the indicator algorithm is very handy to have in a trading software.