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Boost your Workloads with NVIDIA Cloud GPU for Virtual Workstations on Hyperstack

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Benefits of Cloud GPU for Virtual Workstations

Hyperstack empowers you to enhance work efficiency with virtual workstations.



Virtual workstations offer powerful computing access on diverse devices, supporting remote work and collaboration.

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Resource sharing:

Several users can use shared physical hardware resources, all while preserving separate and exclusive virtual environments to ensure security and privacy.

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Graphics intensity:

NVIDIA GPUs excel in 3D rendering, video editing, and CAD design, ensuring smooth graphics in virtual workstations.

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Disaster recovery:

Data resides in secure data centres, offering a disaster recovery and data protection level that local hardware might not achieve.

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Eco-friendly computing:

Centralised virtual workstations improve energy efficiency by optimising resources and reducing device energy consumption.

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Software compatibility:

Virtual workstations accommodate diverse applications, streamlining software updates and ensuring organisational compatibility.




Virtual Workstation Solutions

Virtual Workstations can be used in almost any industry, with multiple use cases.


Enable real-time collaboration among architects, engineers, and designers using NVIDIA vWS-powered virtual workstations.

Key Applications: Adobe Creative Cloud, Allplan, ANSYS, Autodesk 3ds Max, Autodesk AutoCAD, Autodesk Revit, Bentley AECOsim.


Unlock access to 3D software typically confined to on-campus labs—accessible from any location and device.

Key Applications: Autodesk 3ds Max, Autodesk AutoCAD, Autodesk Maya, Autodesk Revit, Dassault Systèmes SOLIDWORKS, Esri ArcGIS.


Shorten design cycles and hasten time-to-market while safeguarding sensitive data through virtual access to lifelike 3D models.

Key Applications: ANSYS Fluent, ANSYS Mechanical, Autodesk AutoCAD, Autodesk Inventor, Autodesk 3ds Max, SOLIDWORKS.

Media and Entertainment

Edit videos on two 8K monitors remotely and quickly onboard new contractors, all while ensuring video files remain securely stored in the data centre.

Key Applications: Adobe Creative Cloud, Autodesk 3ds Max, Autodesk Maya.


Facilitate remote access for radiologists, physicians, and medical imaging specialists to view and edit volumetric 3D images.

Key Applications: PACS (Picture Archiving and Communication System), Eclipse Medical Imaging.


Empower geoscientists to remotely access seismic datasets housed securely in the data centre, aiding them in critical drilling choices.

Key Applications: Autodesk AutoCAD, ANSYS Fluent, , Dassault Systems SOLIDWORKS, Esri ArcGIS, Landmark, Petrel.

GPUs we Recommend for Virtual Workstations

Elevate your Virtual Workstations solutions with the following cloud GPUs from NVIDIA on Hyperstack.




Supercharge inference with H100s: achieve up to 30X acceleration and ultimately experience low latency.


H100 PCIe


Unlock the potential of A100s for AI model training, advanced model analysis, and accurate predictions.


H100 SXM


Unlock the potential of A100s for AI model training, advanced model analysis, and accurate predictions.

Frequently Asked Questions

We build our services around you. Our product support and product development go hand in hand to deliver you the best solutions available.

What is the best GPU for virtualisation?

We recommend using A100 for your specific needs as it is one of the best GPUs for virtualisation in the market today.

Is NVIDIA Virtual GPU free?

No, the NVIDIA vGPU requires a license, but we at Hyperstack offer flexible access to powerful GPUs without upfront hardware costs. Speak to a member of our team today to see what we can do for you.

What are the benefits of using a GPU for virtual machines?

GPUs excel at parallel processing making them ideal for Virtual Machine tasks like deep learning, scientific computing and high-performance graphics. They accelerate data-intensive workloads by orders of magnitude while also allowing the sharing of a single physical GPU across VMs with vGPU tech to maximise resource utilisation. The best part about using a GPU for VM tasks is the offload processing to free up CPU resources for other tasks. This way, the user gets to deliver smooth and responsive graphics.

Read this documentation to learn how our VM APIs can help you create and manage customised VMs for your specific needs.

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