Cloud GPU Desktops – Scalable High-Performance Workstations
A GPU cloud desktop functions as a virtual environment equipped with access to dedicated GPU hardware, tailored for tasks demanding significant graphical power or computational intensity. This approach eliminates the necessity for a local high-end workstation, enabling users to access a powerful desktop remotely.
DaDesktop GPU desktops are well-suited for a wide range of applications, including AI and machine learning, 3D design, CAD, video editing, rendering, simulations, and other GPU-intensive workloads.
Typical use cases
- AI and machine learning
- 3D design and CAD
- Video editing and rendering
- Engineering and simulation
- Scientific computing
- GPU-enabled virtual desktops
Underlying technology
GPU passthrough
In this configuration, a single physical GPU is exclusively assigned to one desktop, granting it complete and unshared hardware access.
vGPU
Here, a physical GPU is partitioned into dedicated virtual slices, each with its own memory (VRAM). This allows a single physical GPU to function as multiple independent GPUs, serving multiple desktops simultaneously.
Supported GPU options
DaDesktop offers GPU-powered desktops featuring both NVIDIA and AMD hardware to accommodate diverse workload requirements. Selecting the appropriate configuration depends on the specific tasks to be executed and the level of GPU capacity they demand.
Explore available GPUs to compare different models, specifications, and supported configurations.
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