GPU sharing with DCV

GPU & Resource Sharing for Remote Desktops

Most organisations run one virtual machine per remote user. It works, but it wastes the one resource that costs the most: GPU capacity. With DCV’s resource sharing capabilities, multiple users tap into the same physical Linux server simultaneously, each getting exactly the resources they need: dynamically, in real time. No hypervisor. No predefined allocations. No wasted GPU.

Available on Linux. Due to Microsoft licensing policies, Windows does not currently allow for GPU/resource sharing.

THE DCV GPU-shARING APPROACH

DCV replaces static VM allocation with dynamic resource sharing to give every user exactly what they need, dynamically.

DYNAMIC RESOURCE ALLOCATION
DYNAMIC RESOURCE ALLOCATION

When a user runs a GPU-intensive task, they get the capacity they need. When they step away or switch to lighter work, that capacity becomes available to others, automatically, with no manual intervention.
No waiting for a VM to spin up or for an admin to resize an allocation.

NO HYPERVISOR OVERHEAD & COSTS
NO HYPERVISOR OVERHEAD & COSTS

DCV runs directly on the physical server. There is no virtualization layer consuming compute, memory, or licensing budget between your hardware and your users.
No NVIDIA Grid or vGPU licensing
required.

MORE REMOTE USERS PER SERVER
MORE REMOTE USERS PER SERVER

Because resources are shared dynamically rather than statically allocated, a single physical server can support significantly more concurrent remote users than a VM-based deployment on equivalent hardware.
Every GPU cycle that
was previously reserved and idle is now available to drive productive work.

THE RESULT:
Higher hardware utilization, lower cost per desktop, and more users served by existing infrastructure.

VMs ARE FUNDAMENTALLY STATIC
VMs ARE FUNDAMENTALLY STATIC

Each VM is sized for its maximum expected load, and that allocation is reserved whether it’s needed or not.

VMs LOCK MORE RESOURCES THAN THEY USE
VMs LOCK MORE RESOURCES THAN THEY USE

That reserved capacity sits idle while other users wait for resources that are technically available but locked away.

AND COSTS ARE GETTING OUT OF CONTROL
AND COSTS ARE GETTING OUT OF CONTROL

Rising hypervisor, GPU and license costs are making the VM model less and less attractive.

Learn more about the hidden costs of VMs.

Ready to MAXIMIZE RESOURCE UTILIZATION?

You can try DCV’s resource sharing features for free now, download a free trial

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