Cloud GPU Desktops – Scalable GPU Workstations
Cloud GPU desktops provide virtual environments equipped with dedicated GPU hardware, ideal for handling intensive graphics and compute tasks. This approach eliminates the requirement for a high-end local workstation, allowing users to access their powerful environment remotely.
DaDesktop GPU desktops are versatile tools suitable for AI and machine learning, 3D design, CAD, video editing, rendering, simulations, and various 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 configuration, an entire physical GPU is exclusively assigned to a single desktop, ensuring full access to the hardware resources.
vGPU
Here, the GPU capacity is divided into dedicated slices, each with its own VRAM. This allows a single physical GPU to function as multiple independent GPUs, serving different desktops simultaneously.
Available GPUs
DaDesktop offers GPU-powered desktops utilizing both NVIDIA and AMD hardware to cater to diverse workload requirements. Selecting the appropriate option depends on the specific tasks you intend to run and the level of GPU capacity they demand.
Explore available GPUs to compare models, specifications, and supported configurations.
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