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It's product segmentation. NVidia dominates the ML space, so they don't have to worry much about competitive pressures. Increasing the efficiency of ML engineer
by sagarm 6y ago
It's product segmentation. NVidia dominates the ML space, so they don't have to worry much about competitive pressures. Increasing the efficiency of ML engineers is definitely worth at least $1500 them and their employers, so why leave money on the table?
- snvzz 6y ago>Increasing the efficiency of ML engineers is definitely worth at least $1500 them and their employers, so why leave money on the table? This would make sense if these were Titan cards with ML drivers. Instead, they are not, only the regular drivers are available, and FP32/64 performance is artificially capped. These aren't cards for ML.
- nl 6y agoAs an ML engineer I (and many others I know) would love them. The ML driver and FP32/64 performance capping aren't really issues since in reality we rarely hit those limits.