Spin Up a GPU Container

GPUs (Graphics Processing Units) offer accelerated processing power compared to traditional CPUs. Instead of buying and maintaining expensive hardware, cloud platforms now allow users to quickly launch GPU containers to run their tasks more efficiently. This process is known as “spinning up a GPU container.”

What is a GPU Container?

A GPU container is a lightweight, standalone, and executable software package that includes everything needed to run a program—code, runtime, libraries, and dependencies—with GPU acceleration. Containers make it easy to run AI and deep learning applications on any system with compatible GPU support. They are often powered by container platforms like Docker or Kubernetes.

FPT Cloud is a cloud computing platform provided by FPT Corporation, a leading technology company based in Vietnam. It offers a wide range of cloud services including computing, storage, networking, and AI infrastructure. For developers and data scientists, FPT Cloud provides GPU-based compute resources that can be used to run containers for AI/ML workloads, high-performance computing, or video rendering tasks.

Steps to Spin Up a GPU Container

Create an FPT Cloud Account

Visit the official FPT Cloud website and sign up for a free or paid account. Verify your email and log in to your dashboard.

Navigate to GPU Services

From the dashboard, go to the “Compute” or “AI/ML” section where GPU services are listed. Choose the “GPU Container” option or similar compute offering.

Select Container Image

Choose a container image that supports GPU workloads. FPT Cloud may provide pre-configured images with TensorFlow, PyTorch, CUDA, or other deep learning frameworks. You can also upload your own Docker image.

Configure Resources

Set the container configuration like number of GPUs, CPU cores, RAM, and storage size. Choose the GPU type (e.g., NVIDIA T4, A100) based on your workload requirements.

Set Up Networking and Security

Configure the container’s network access (public or private), assign a security group, and optionally set SSH access or API keys to manage the instance securely.

Deploy the GPU Container

Click on the “Launch” or “Deploy” button. FPT Cloud will provision the infrastructure and spin up your GPU container in a few minutes. Once it is running, you can access it through the web terminal, SSH, or remote Jupyter Notebook interface.

 

Monitor and Manage

Use the FPT Cloud dashboard to monitor GPU usage, storage, logs, and performance. You can start, stop, restart, or delete the container as needed.

Spinning up a GPU container using FPT Cloud is a fast and efficient way to leverage powerful GPU resources without investing in physical hardware. It’s ideal for developers, researchers, and businesses working on advanced AI workloads.