Cloud GPU Desktops – Scalable GPU Workstations
A GPU cloud desktop is a virtual environment provisioned with dedicated GPU hardware to handle graphics-intensive and compute-heavy tasks. This approach eliminates the necessity for a locally hosted high-end workstation, allowing users to access powerful desktop capabilities remotely.
DaDesktop GPU desktops are versatile and suitable for a range of applications, including AI and machine learning, 3D design, CAD, video editing, rendering, simulations, and other GPU-accelerated 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
This configuration assigns an entire physical GPU to a single desktop, ensuring exclusive access to the full hardware capabilities.
vGPU
In this model, the physical GPU is partitioned into dedicated slices, each equipped with its own VRAM. This allows a single physical GPU to function as multiple independent GPUs, supporting several desktops simultaneously.
Available GPUs
DaDesktop offers GPU-powered desktops featuring both NVIDIA and AMD GPUs, tailored to various workload requirements. Selecting the optimal configuration depends on the specific applications you intend to run and the requisite GPU capacity.
View available GPUs to compare models, specifications, and supported configurations.
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