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GPU Virtual Machine (GPU VM) enables you to deploy and manage high-performance GPU servers with ease. Our platform combines the flexibility of cloud computing with the power, speed, and efficiency of dedicated GPUs, ensuring optimal performance for AI, machine learning, and data-intensive workloads.
This documentation will guide you through managing your GPU VMs using the FPT Cloud Portal.
What is a GPU VM?
GPU VM uses passthrough GPU to get a dedicated GPU, applications access it through the layers of a guest OS and hypervisor. Other critical VM resources that applications use, such as RAM, storage, and networking, are also virtualized.
How Does It Work?
A GPU VM works like a powerful cloud-based computer with a dedicated GPU for intensive workloads. You can:
Easily deploy a GPU VM with the latest GPU generations in minutes through the FPT Cloud Portal.
Run AI, machine learning, and data processing tasks at high speed with advanced GPU acceleration.
Scale resources as needed—add more CPU, RAM, storage, or additional GPUs without downtime.
Manage everything from a simple online portal, with no need for in-house IT staff.
Why Choose a GPU Virtual Machine?
One-click deployment from the FPT Smart Cloud Portal.
Simple configuration of networking, storage, and security.
Faster AI training & deep learning: Cutting-edge GPUs deliver exceptional speed and efficiency, perfect for handling large-scale AI and machine learning models.
Optimized for AI inference: Process data and make real-time decisions faster than ever before.
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