GPU rental for 3D rendering
The final scene render is the bottleneck of any 3D project. The workstation computes all night, client revisions arrive in the morning, and the cycle repeats. Adding cards to the workstation makes little sense: they are needed at the project peak and sit idle between jobs.
QuData provides a cloud render farm where you rent the whole machine and work in your usual software with your own plugins and settings — unlike classic farms, where the scene is handed to someone else’s pipeline. The RTX 4090 covers most scenes, while A40 and L40S with 48 GB take on heavy geometry and high-resolution textures. Multi-GPU configurations are available: the render is parallelized across cards and time shrinks proportionally.
Ready-made images
The instance comes up with drivers and a render engine already configured — all that is left is to upload the scene. Commercial software licenses are yours: they are tied to your account, not to the hardware.
Blender
A current release with Cycles and Eevee configured, OptiX support and command-line rendering for batch jobs.Octane and Redshift images
An environment with the engine installed, ready to accept your license.Windows instances
For 3ds Max, Cinema 4D and other software that needs a graphical shell. Connection over remote desktop.Clean CUDA instance
If you are deploying your own render pipeline or using a non-standard engine.Who it suits
Freelance 3D artists
Take on a project your workstation cannot handle instead of turning the job down for lack of hardware.Architectural studios and visualizers
Render a series of camera angles and lighting variants overnight instead of over a week, meeting the client approval deadline.Motion design studios
Absorb the peak load of a project by spinning up several instances in parallel and shut them down after delivery.Game developers
Bake lighting and render cinematics without stopping the main work on the team’s workstations.How to choose a GPU for rendering
GPU rendering has outpaced CPU rendering several times over, but it brought a hard constraint: the entire scene must fit into video memory. That is the main criterion when choosing a card; everything else is secondary.
Why memory size matters more than speed
If geometry, textures and service buffers do not fit into VRAM, the render either fails with an error or switches to a slow mode with paging from system memory — and the entire GPU advantage is lost. That is why a 48 GB card with slightly lower compute is almost always preferable to a fast 24 GB card when the scene does not fit into 24 GB.
Rough guidance on size: an interior scene with a basic texture set — 12–16 GB; an exterior with vegetation and highly detailed materials — 24 GB; a heavy production scene with 4K textures and a large object count — 48 GB and above.
Instancing of repeated objects, sensible texture resolution and proxy geometry all reduce consumption. This is standard scene hygiene that pays off regardless of what you render on.
Render engine compatibility
Cycles in Blender uses OptiX on NVIDIA cards and gains noticeably from hardware ray tracing. Octane, Redshift and V-Ray GPU are also built on CUDA and run across the whole NVIDIA line-up. Check whether your engine version supports the chosen card generation — older builds sometimes fail to recognize recent architectures.
Clarify the licensing policy separately: some engines are licensed per card, and a multi-GPU configuration may require a more expensive license.
When you need several cards
In rendering, parallelization is close to linear: two cards compute a frame roughly twice as fast, four cards four times. An important caveat: memory does not add up. The scene must fit into the memory of each individual card, not into their combined capacity.
For animation a different scheme is more efficient — hand different frames to different instances. That avoids synchronization overhead and gives almost perfect scaling.
How to estimate render cost
The formula is simple: render time multiplied by the current hourly price of the card. Per-minute billing means you do not pay for idle time between jobs or for the time spent uploading the scene. Before a large render it makes sense to run a test frame at low resolution and estimate the time for the whole sequence — that way you know the budget up front and can revisit sampling settings if needed.
Frequently asked questions
Which graphics card do I need for 3D rendering?
For most scenes in Blender, 3ds Max and Cinema 4D the RTX 4090 is optimal. For heavy scenes with a lot of geometry and textures choose an A40 or L40S with 48 GB of video memory.
How is renting a GPU different from a classic render farm?
You rent the whole machine and work in your usual software with your own settings and plugins instead of sending the scene into someone else’s pipeline. You pay for rental time, not for render credits.
Are Octane and Redshift supported?
Yes, these engines run on rented instances. You use your own license — it is tied to your account, not to the hardware.
How much does cloud rendering cost?
The cost equals render time multiplied by the current hourly price of the chosen card. Billing is per minute, so you do not pay for idle time between jobs.
Can I rent several GPUs at once?
Yes, multi-GPU configurations are available in the marketplace — the render is parallelized across cards and render time shrinks proportionally.