📄️ Overview
NodeShift GPUs refer to flexible and scalable on-demand resources in the form of NodeShift Virtual Machines (VMs), equipped with a diverse selection of GPUs. These GPU-powered VMs provide an enhanced control over the computing environment, allowing configuration adjustments for GPUs, CPUs, RAM, and Storage based on specific requirements.
📄️ GPUs
NodeShift GPUs are NodeShift Virtual Machines (VMs) which are flexible and scalable on-demand resources with a wide array of GPUs. GPU-powered Virtual Machines offer greater control over the computing environment compared to other options as you can configure GPUs, CPUs, RAM and Storage as necessary.
📄️ Create a GPU Virtual Machine
GPU VMs are NodeShift-powered Virtual Machines running a Linux OS of your choice, the VMs are available with a wide range of GPU, CPU and RAM configurations for all possible application needs.
📄️ Connect to GPUs using SSH
NodeShift GPUs can be connected to and controlled through a terminal using SSH key provided during GPU creation.
📄️ Open custom ports
Sometimes you may need to open custom ports to enable external access to specific services. This guide explains how to configure Docker to expose desired ports, such as 8081 and 8082, by adding -p arguments in the Docker setup. By following these steps, you can easily map internal GPU instance ports to external ones, creating flexible access points for applications, including SSH and Jupyter setups. Dive in to learn how to configure port forwarding for seamless remote access.