How is Nvidia GPU cloud team ?, looking at applying for roles there.Just worried if at some point NVIDIA might kill the GPU cloud and go all in on an hyperscaler like AWS. #nvidia
1. NV needs to test software extensively across all supported gpu generations and configs. CSP’s have very homogeneous configs. 2. For large scale cluster needs, NV is either running propriety code that it doesnt want outside company firewalls or running in its own super clusters w/ HPC class networking or on unreleased hardware
Thank you
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Gpu cloud team is good! Amazon uses nvidia gpu anyways
Thanks for the response , should have been a little more clearer with my question. I was told that GPU cloud is being mostly used for internal initiatives. since AWS also has all the GPU instance types and because NIVIDIA uses AWS today, would NVIDIA kill GPU cloud and decide to go all in on AWS (or any other cloud provider)?. Is that a concern amongst the teams internally ?
Nopes! No concern like that! As somebody else mentioned what we use and run, AWS or any other cloud wont get its hands on including proprietary drivers, accelerators, advance optimizations, algorithms etc etc AWS /gcp cloud only talks about ML usecase, Nvidia does HPC which is far more advanced than any of existing cloud capabilities