Cloud GPU Desktops – Scalable GPU Workstations
A GPU cloud desktop functions as a virtual environment equipped with dedicated GPU hardware, tailored for tasks requiring intensive graphics processing and computation. This setup eliminates the necessity for a high-end local workstation, allowing you to access a powerful computing environment remotely.
DaDesktop GPU desktops are well-suited for a variety of demanding applications, including AI and machine learning, 3D design, CAD, video editing, rendering, simulations, and other GPU-intensive workloads.
Common use cases
- AI and machine learning
- 3D design and CAD
- Video editing and rendering
- Engineering and simulation
- Scientific computing
- GPU-enabled virtual desktops
How GPU desktops work
GPU passthrough
In this model, an entire physical GPU is assigned exclusively to a single desktop, ensuring full access to the hardware's capabilities.
vGPU
Here, the GPU is divided into dedicated slices, each allocated its own VRAM. This allows one physical GPU to function as multiple independent GPUs, serving different desktops simultaneously.
Available GPUs
DaDesktop provides GPU-powered desktops equipped with both NVIDIA and AMD graphics cards to accommodate various workloads. The optimal choice depends on the specific tasks you intend to run and the corresponding GPU capacity required.
View available GPUs to compare models, specifications, and supported configurations.
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