Scalable GPU Workstations – Cloud GPU Desktops
A GPU cloud desktop provides a virtual environment equipped with dedicated GPU hardware, ideal for graphics-intensive and compute-heavy tasks. This setup allows you to work remotely, eliminating the need for a local high-end workstation.
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.
Frequent applications
- Artificial intelligence and machine learning
- 3D modeling and CAD
- Video post-production and rendering
- Engineering and simulation
- Scientific computing
- GPU-accelerated virtual desktops
GPU desktop architecture
GPU passthrough
This method assigns a full physical GPU to a single desktop, granting it complete access to the hardware resources.
vGPU
Here, the GPU is partitioned into dedicated slices, each with its own VRAM. A single physical GPU can function as multiple independent GPUs, serving one desktop per slice.
Supported GPUs
DaDesktop offers GPU-powered desktops featuring NVIDIA and AMD GPUs to cater to various workloads. Selecting the appropriate option depends on your specific application requirements and the necessary GPU capacity.
Browse available GPUs to review 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.