# FAQ

### What are Cloud GPU VMs?

Cloud Graphics Processing Units (GPU) Cloud Virtual Machines (VMs) provide access to powerful GPUs through a virtualized cloud environment, enabling massive parallel processing. This specialized hardware accelerates compute-intensive workloads, including training complex AI models, machine learning inference, and high-speed 3D rendering. Direct GPU access delivers the low latency that real-time applications require, while predictable, straightforward pricing makes continuous operation affordable.

While based on shared resources, the Cloud GPU VM can rival physical servers through a platform design that can redistribute available performance capacities among individual instances. At the same time, reduced operational complexity and highly optimized resource utilization translate into lower operating costs.

The Cloud GPU connects directly to the VM via Peripheral Component Interconnect Express (PCIe) passthrough for near-native performance.

Cloud GPU VMs come complete with vCPUs and RAM. You can choose a [<mark style="color:blue;">template</mark>](https://docs.ionos.com/sections-test/guides/compute-services/compute-engine/overview#template-specifications) that suits your needs. For more information, see [<mark style="color:blue;">Cloud GPU VM workflow</mark>](https://docs.ionos.com/sections-test/guides/compute-services/compute-engine/api-how-tos#cloud-gpu-vm-workflow).

### How many Cloud GPU VMs can I deploy?

By default, you can deploy only **1 Cloud GPU VM** using the **H200–S** template. To deploy templates sized **M**, **L**, or **XL**, or to run multiple **S** instances, you must first request a resource limit increase through the [<mark style="color:blue;">IONOS Cloud Support</mark>](https://docs.ionos.com/cloud/support/general-information/contact-information).