Create Instances
Create Instances
Quick Setup for GPU Instance
1. Create a Novita AI Account
If you have already registered with Novita AI, you can skip this step.
If you need assistance, refer to the Novita AI Quickstart to create an account.
2. Deploy a GPU Instance
Create from Image (Recommended)
Developing your business applications is now easier and more efficient. Novita AI offers a range of meticulously packaged container images, making your instances ready to use right out of the box.
There's no need to worry about installing GPU drivers or configuring various development environments. With just a few steps, you can launch an instance that's fully prepared, allowing you to focus on developing your business logic.
Please follow these steps to start a GPU instance:
- Go to the Console - Instances;
- Click "+ GPU Instances", choose the template, select your desired product, and click "Deploy";
- Fill out all the settings and click "Next";
- Confirm the order summary and click "Deploy". A new instance will then appear in the Console - Instances.
Configuration Explanation
Configuration | Description |
---|---|
Cloud Storage | Allows you to choose the type of cloud storage disk to attach to your instance. Options typically include SSDs, which offer faster access speeds, and HDDs, which have larger capacities but slower speeds. You can manage your cloud storage on the "Storage Management" page. |
CPU | The number of vCPU cores you select for your instance. The vCPU count will affect the instance's processing capability and performance, with more vCPUs being beneficial for compute-intensive applications. |
Memory | The size of RAM in GB specified for each instance. Memory is crucial for running applications and overall instance speed. |
Supported CUDA Version | CUDA is a parallel computing platform and API model developed by NVIDIA. Choosing the correct CUDA version is important if you plan to run applications optimized for NVIDIA GPUs, such as machine learning and 3D rendering applications. |
Ports | You can expose your ports according to your service needs. The platform will provide port mapping services for your service. Multiple ports can be entered, separated by commas. |
Environment Variables | Used to specify parameters for the operating system's runtime environment. You can set environment variables here directly, and the platform will automatically initialize them for you. |
GPU Instance Pricing | More details can be found at GPU Instance Pricing. |
Base Image | The Docker image provided by the platform. |
Custom Image | The Docker image name you specify, which the platform will default to pulling from DockerHub. Ensure that the image name is entered correctly. |