Cloud GPU Desktops – Elastic and Scalable GPU Workstations
A GPU cloud desktop is a virtual environment provisioned with dedicated GPU hardware, enabling high-performance graphics processing and compute-intensive tasks. This solution allows you to remotely access a workstation environment without the need to purchase or maintain high-end local hardware.
DaDesktop GPU desktops are designed to handle diverse workloads, including AI and machine learning, 3D design, CAD, video editing, rendering, and complex simulations.
Key applications
- AI and machine learning models
- 3D design and CAD modeling
- Video editing and rendering pipelines
- Engineering analysis and simulation
- High-performance scientific computing
- GPU-accelerated virtual desktop environments
Operational mechanics of GPU desktops
GPU passthrough
In this configuration, an entire physical GPU is assigned exclusively to a single desktop, providing users with full, unmediated hardware access.
vGPU
Here, a physical GPU is partitioned into multiple dedicated slices, each with its own allocated VRAM. This allows one physical unit to function as several independent GPUs, serving multiple desktops simultaneously.
Supported GPU hardware
DaDesktop offers GPU-powered desktops utilizing both NVIDIA and AMD hardware, accommodating various workload requirements. The optimal configuration depends on the specific software demands and the necessary GPU capacity.
Explore the available GPUs to compare different models, technical specifications, and supported configurations.
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