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glenn-jocher committed Aug 5, 2019
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Expand Up @@ -75,18 +75,17 @@ HS**V** Intensity | +/- 50%
https://cloud.google.com/deep-learning-vm/
**Machine type:** n1-standard-8 (8 vCPUs, 30 GB memory)
**CPU platform:** Intel Skylake
**GPUs:** K80 ($0.20/hr), T4 ($0.35/hr), V100 ($0.80/hr) CUDA with [Nvidia Apex](https://github.com/NVIDIA/apex) FP16/32
**GPUs:** K80 ($0.20/hr), T4 ($0.35/hr), V100 ($0.83/hr) CUDA with [Nvidia Apex](https://github.com/NVIDIA/apex) FP16/32
**HDD:** 100 GB SSD
**Dataset:** COCO train 2014 (117,263 images)

GPUs | `batch_size` | batch time | epoch time | epoch cost
GPUs | `batch_size` | images/sec | epoch time | epoch cost
--- |---| --- | --- | ---
K80 | 64 (32x2) | 2.90 s | 175 min | $0.58
T4 | 64 (32x2) | 0.80 s | 49 min | $0.29
T4 x2 | 64 (64x1) | 0.52 s | 32 min | $0.36
V100 | 64 (32x2) | 0.35 s | 21 min | $0.28
V100 x2 | 64 (64x1) | 0.30 s | 18 min | $0.46
2080Ti | 64 (32x2) | 0.46 s | 28 min | -
K80 | 64 (32x2) | 11 | 175 min | $0.58
T4 | 64 (32x2) | 40 | 49 min | $0.29
T4 x2 | 64 (64x1) | 61 | 32 min | $0.36
V100 | 64 (32x2) | 115 | 17 min | $0.24
2080Ti | 64 (32x2) | 69 | 28 min | -


# Inference
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