Intel Xeon CPU
Intel Xeon has extraordinary processing power and speed, which is very suitable for running deep learning frameworks. So you can totally use our Intel-Xeon-powered GPU Servers for PyTorch.
Basic PyTorch GPU
Professional PyTorch GPU
Advanced PyTorch GPU
Advanced PyTorch GPU
Enterprise PyTorch GPU
Enterprise PyTorch GPU
Enterprise GPU-RTX A6000
1. Choose a plan and place an order.
2. Install NVIDIA® CUDA® Toolkit & cuDNN.
3. Python 3.7, 3.8 or 3.9 recommended.
Sample: conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
import torch # check what version is installed print(torch.__version__) # construct a randomly initialized tensor x = torch.rand(5, 3) print(x) # check if your GPU driver and CUDA is enabled and accessible torch.cuda.is_available()
Intel Xeon CPU
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Higher Developer Productivity
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Effortless Data Parallelism
Useful Libraries
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