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RTX 2080 Ti Deep Learning Benchmarks with TensorFlow

Blog post from Lambda

Post Details
Company
Date Published
Author
Stephen Balaban
Word Count
1,021
Company Posts That Month
2
Language
English
Hacker News Points
-
Post removed?
No
Summary

The RTX 2080 Ti GPU performs significantly better than other GPUs in deep learning benchmarks, with some models achieving speeds up to 96% of the Titan V's performance. The GPU's use of Tensor Cores and its FP16 capabilities also contribute to its improved performance. In multi-GPU training, using more GPUs can lead to significant speedups, with 8x RTX 2080 Ti GPUs performing around 5 times faster than a single RTX 2080 Ti GPU. Additionally, the RTX 2080 Ti is found to be faster than other GPUs when training models in FP16 mode, with some models achieving speeds up to 81% faster than the Titan V. The results also show that lower precision modes like FP16 can reduce training times and enable larger batch sizes/models without significantly impacting accuracy.

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