3 ms·
K80 is about as fast as 1080 in FP32 (8.2 vs 8.8TFlops) but vastly faster in FP64 (2.7 vs 0.28TFlops; FP64 supercomputers are still being built with it). It has
by bitL 7y ago
K80 is about as fast as 1080 in FP32 (8.2 vs 8.8TFlops) but vastly faster in FP64 (2.7 vs 0.28TFlops; FP64 supercomputers are still being built with it). It has also 3x the memory, so fitting BERT_large NLP model might be possible. 1080 is pretty much outdated at this point as not many state-of-art models can fit inside 8GB. Disadvantage of K80 are older CUDA kernels versions so customized kernels for new CUDA versions might not work, but most models don't touch CUDA directly anyway.
- pixelwhale 7y agoBeing a dual-GPU model, it really can only fit half the total memory in the majority of cases, because sharing memory across GPUs is far slower and more difficult to implement.