Cloud GPU Desktops – Scalable GPU Workstations
A GPU cloud desktop provides a virtual environment equipped with dedicated GPU resources, ideal for tasks demanding significant graphical processing and computational power. This approach eliminates the necessity for a high-performance local workstation, allowing users to access their powerful desktop environment remotely.
DaDesktop GPU desktops are versatile solutions 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
This method allocates an entire physical GPU to a single desktop, ensuring complete and exclusive access to the hardware's capabilities.
vGPU
Here, a single physical GPU is partitioned into distinct slices, each equipped with its own VRAM. This allows one physical GPU to function as multiple independent GPUs, serving different desktops concurrently.
Available GPUs
DaDesktop offers GPU-powered desktops utilizing both NVIDIA and AMD hardware to accommodate a wide range of workloads. Selecting the optimal configuration depends on the specific software requirements and the level of GPU capacity needed.
View available GPUs to examine models, technical specifications, and supported configurations.
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