![]() ![]() ![]() For the best results, use a Linode GPU instance with sufficient memory and storage to accomplish your task. The instructions below install PyTorch and Anaconda on an Ubuntu 20.04 instance. For production workloads, GPU instances provide much higher speed and parallelism benefits. Moving the application compute logic to a GPU hardware instance allows processing at a far faster output than CPU instances permit. PyTorch can also be used with CPUs as you set up your applications for use. PyTorch allows popular Python-based apps to access GPU hardware to speed up machine learning, AI, and a large number of supported PyTorch ecosystem apps. Linode offers dedicated CPU instances and GPU instances that you can use to run PyTorch-based projects. PyTorch provides support for a variety of math-intensive applications that run on GPU and CPU hardware. This guide shows you how to install PyTorch, a Python framework, on an Ubuntu 20.04 Linode. ![]()
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