Cloud GPU Desktops – Scalable GPU Workstations
A GPU cloud desktop provides a virtual environment equipped with dedicated GPU hardware, ideal for tasks demanding significant graphics and computational power. Rather than relying on a locally hosted high-end workstation, users can access this powerful desktop environment remotely.
DaDesktop GPU desktops are well-suited 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
An entire physical GPU is allocated exclusively to a single desktop, ensuring full access to the hardware’s capabilities.
vGPU
The GPU is partitioned into dedicated slices, each possessing its own VRAM. This allows a single physical GPU to function as multiple independent GPUs, with each slice serving a separate desktop.
Available GPUs
DaDesktop supports GPU-powered desktops featuring NVIDIA and AMD graphics cards, catering to diverse workloads. Selecting the optimal configuration depends on the specific applications you need to run and the level of GPU capacity they require.
View available GPUs to compare models, specifications, and supported configurations.
Start Your Free Trial Today
Run seamless virtual IT training with cloud-based labs, no downtime, just scalable learning that works.