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From my very limited understanding GPUs have become even more general purpose. If your past expertise was programming / architecture areas, then you might need
by GianFabien 2y ago
From my very limited understanding GPUs have become even more general purpose. If your past expertise was programming / architecture areas, then you might need to brush up on your linear algebra. However, it appears that the majority of AI/ML work is in data cleansing and using the various toolkits and frameworks.
- cromka 2y agoThanks. I am looking into actually becoming a developer of those toolkits and frameworks which use the GPUs or other parallel processing hardware. Most of which use CUDA, since it has become a de facto standard with NVIDIAs dominance of the hardware world.