GPU Virtual Machine
What is GPU Virtual Machine?
GPU Virtual Machine (GPU VM) enables you to deploy and manage high-performance GPU servers with ease. GPU VM uses a 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.
We currently offer two types of virtual machines (VMs), each with a different storage option.
Type #1
Block Storage – Ephemeral Disk (NVMe)
- Fixed capacity per GPU instance - Optimized for high-performance training workloads - Not suitable for long-term data - No automated backup/restore feature - Data will not be deleted when you stop VMs
Type #2
Block Storage – Persistent Disk
- Scalable, on-demand storage from 100GB - Ideal for long-term data retention - Supports automated backup & restore - Storage is billed separately from GPU instance cost
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.
Manage everything from a simple online portal, with no need for in-house IT staff.
Why 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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