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A major use for GPU in the cloud is not being limited to the 8-12GB(ish) limits of enthusiast cards. There's similar processing performance, and the ability to
by theDoug 10y ago
A major use for GPU in the cloud is not being limited to the 8-12GB(ish) limits of enthusiast cards. There's similar processing performance, and the ability to store all you need in memory is a much closer reality to why these cards go for $5k
- rafinha 10y agoI'm not sure most gtx users doing hpc can be called "enthusiasts". After all, most research is done in these devices, and most models should therefore fit memory requirements (unless you're doing some hardcore - or lazy engineered research model) . Correct me if I'm wrong, but AFAIK the tesla cards are designed to fit regulated markets and are not mass produced like the geforces, therefore the elevated prices.