Multi-User GPU Systems

Our high-density, high-compute systems are built for AI, data science, and demanding visual applications. With multi-user setups, you can harness every ounce of GPU performance, dynamically allocating compute to each user based on their workloads and requirements.

Go beyond resource sharing with advanced tools to control permissions, create custom templates, and scale out multiple workstations or servers into your own private cloud platform.

Choose between fully managed platforms or self-managed installs.
Flexibility and control, your way.

Fully Managed Platforms

Launch virtual desktops or server images effortlessly with our fully managed, turnkey platform, available on-premises or in the cloud.

Choose the level of control that suits you:

Self-administer your environment while we handle the hardware
or
Opt for a fully managed service where everything is taken care of.

The flexibility is yours.

Build your own Cloud

Get a complete cloud environment tailored to your needs, with customisable hardware configurations and management services to match.

Seamlessly connect your platform to GPU compute farms for high-intensity rendering or AI workloads, and choose the level of support that’s right for you with a range of management options from our expert cloud services team.

Scale up and out

Our modular systems grow with you. Easily expand with multi-GPUs, upgrading over time as teams grow and budgets evolve.

Add extra compute and storage nodes to scale out seamlessly, giving you the flexibility to integrate a variety of GPUs as your workloads demand.

Fully customisable hardware

Our multi-user GPU systems are built to adapt to your exact needs. From GPU type and count to CPU, memory, and storage configurations, every component can be tailored to suit your workflows, whether that’s AI training, simulation, rendering, or data science.

As your team and projects grow, hardware can be expanded or upgraded seamlessly, ensuring long-term scalability without compromising on performance.

Do more with your hardware

Centralising your GPU resources delivers more than just efficiency, it transforms the way you work.

Lower your total cost of ownership, allocate compute power on demand, reduce the headaches of asset management, and simplify backup and security strategies.

Build an infrastructure that scales effortlessly and ensures your assets are always working at their full potential.

Work smarter, not harder.

Multi-User GPU Systems | Shared GPU Computing for AI & Data Science