It’s important to take into account available space, power, cooling, and relative performance into account when deciding which RTX 3000 series cards to include in your next deep learning workstation.
Benchmarks for ResNet-152, Inception v3, Inception v4, VGG-16, AlexNet, SSD300, and ResNet-50 using the NVIDIA A100 GPU and DGX A100 server.
GPU benchmarks for training State of the Art (SOTA) deep learning models. We measure each GPU's performance by batch capacity and more.
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