Cloud GPU Desktops: Scalable GPU Workstations
A GPU cloud desktop provides a virtual environment equipped with dedicated GPU hardware, catering to graphics-intensive and computationally heavy tasks. This setup allows you to access high-performance capabilities remotely, eliminating the need for a local high-end workstation.
DaDesktop's GPU desktops are ideal for a wide range of applications, including AI and machine learning, 3D design, CAD, video editing, rendering, simulations, and other demanding GPU workloads.
Typical use cases
- AI and machine learning development
- 3D design and CAD modeling
- Video editing and rendering pipelines
- Engineering simulations and testing
- Scientific computing applications
- Virtual desktops powered by GPU acceleration
Underlying mechanics of GPU desktops
GPU passthrough
This approach dedicates an entire physical GPU to a single desktop, ensuring full access to the hardware's capabilities.
vGPU
Here, the GPU is partitioned into dedicated slices, each equipped with its own VRAM. A single physical GPU can function as multiple independent GPUs, serving separate desktops simultaneously.
Supported GPU hardware
DaDesktop offers GPU-powered desktops featuring both NVIDIA and AMD hardware to accommodate various workloads. The optimal choice depends on your specific runtime requirements and the level of GPU capacity needed.
Explore available GPUs to compare models, specifications, and compatible configurations.
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