On FPT Cloud Console
What is GPU Virtual Machine?
GPU Virtual Machine (GPU VM) lets users deploy and manage high-performance GPU servers. It uses passthrough GPU to provide a dedicated GPU, with applications accessing it through the layers of a guest OS and hypervisor. Other critical resources like RAM, storage, and networking are also virtualized.
Two VM types are offered, each with different storage:
| GPU VM Type | Storage Type | Key Features of Storage |
|---|---|---|
| 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 persists when VMs are stopped |
| Type #2 | Block Storage – Persistent Disk | Scalable, on-demand storage from 100 GB; 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 functions as a powerful cloud-based computer with a dedicated GPU for intensive workloads. Users can:
- Easily deploy a GPU VM with the latest GPU generations in minutes via the FPT Cloud Portal.
- Run AI, machine learning, and data processing tasks at high speed with 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 for large-scale AI/ML models.
- Optimized for AI inference: Process data and make real-time decisions faster than ever before.