Rent a GPU server online: machines fitted with an NVIDIA RTX 3090, 4090 or 5090 card (24 to 32 GB of VRAM) and, on request, up to 8 GPUs per server, hosted in Paris and accessible remotely. A GPU server dedicated to your project to produce your 3D renders, train or deploy an AI model, or speed up your simulations, without buying a graphics card. Rental from 3 days, from €0.363 excl. VAT per hour (RTX 3090, 4-week rental), with the server usually available a few hours after the quote is signed.
Our NVIDIA RTX GPU servers: 3D rendering, AI and simulation
GPU – NVIDIA RTX 3090
The affordable GPU to get started: freelancers, small studios, schools and first AI projects.
Ideal for 3D, rendering (notably motion design) and small to mid-size AI models.
1 card, 24 GB of VRAM
AMD EPYC 7773X (Milan-X)
60 GB of RAM · From 500 GB (NVMe) · 25 Gbit/s network
OctaneBench 2020: 650 pts
GPU – NVIDIA RTX 4090
The benchmark for 3D rendering and high-performance AI.
Ideal for all kinds of projects: 3D rendering (including real-time), simulation and AI.
1 card, 24 GB of VRAM
AMD EPYC 7773X (Milan-X)
60 GB of RAM · From 500 GB (NVMe) · 25 Gbit/s network
OctaneBench 2020: 1250 pts
GPU – NVIDIA RTX 5090
The high-end GPU for your most demanding projects (3D rendering, AI, simulations).
Built for your XXL projects, with extreme performance.
1 card, 32 GB of VRAM
AMD EPYC 9755 (Turin)
60 GB of RAM · From 500 GB (NVMe) · 100 Gbit/s network
OctaneBench 2025: 1650 pts
Need more power? On request, from 1 to 4 GPUs per server, and even up to 8 GPUs, plus additional RAM or storage. Contact us.
Do your computations rely on the processor rather than the GPU? Discover our AMD EPYC HPC servers.
NEED SOMETHING SPECIFIC?
Your custom GPU server
Tell us about your project: we adapt the configuration, rental period and number of GPU servers, with discounts based on volume and duration.
Request a quote
Why rent a GPU server rather than buy a graphics card?
A high-end graphics card is a major investment, and a new generation comes out regularly. By renting a GPU server, you get the power your project needs, when you need it.
- No heavy investment: you handle neither the purchase, the resale nor the obsolescence of the hardware.
- No infrastructure constraints: power supply, cooling and maintenance are on us.
- Power matched to your project: a competition, a client delivery or a model training run, from 3 days of rental.
- A server ready fast: accessible remotely usually a few hours after the quote is signed.
Which GPU should you choose: RTX 3090, RTX 4090 or RTX 5090?
The newer the card, the faster it is; the RTX 5090 also offers more video memory (32 GB vs 24 GB). This table sums up the differences, so you can match them to your needs.
| GPU | VRAM | OctaneBench | Price excl. VAT from 4 weeks | What for? |
|---|---|---|---|---|
| RTX 3090 | 24 GB | 650 (2020) | €0.363/h | Controlled budget, 3D rendering, motion design, small to mid-size AI models |
| RTX 4090 | 24 GB | 1250 (2020) | €0.697/h | 3D and real-time rendering, simulation, AI, twice as fast as the RTX 3090 |
| RTX 5090 | 32 GB | 1650 (2025) | €0.948/h | XXL projects, heavy scenes and models, archviz, AI |
OctaneBench 2020 and 2025 scores come from different versions of the benchmark and cannot be compared directly.
VRAM first
A volumetric scene, high-definition textures or an AI model must fit in video memory. When your projects regularly approach or exceed 24 GB, the RTX 5090 and its 32 GB avoid out-of-memory errors and restarts.
Speed depends on your render engine or framework
Gains vary with the software: Cycles, Redshift, Octane or Arnold GPU for rendering, PyTorch or TensorFlow for AI. Optimisations in recent generations (RT cores, OptiX, Tensor cores) can significantly reduce your computing times.
Project length and budget
On a short project, a faster GPU can reduce the rental period needed, and therefore the overall cost. On continuous production, stability matters more. Tell us your software or framework: we will point you to the right card, without over-sizing.
What a rented GPU server is used for
3D rendering and GPU animation
3D rendering is Ranch Computing’s core business. Cycles, Redshift, Octane, Arnold GPU or V-Ray GPU use the graphics card directly: a GPU server handles heavy scenes, exports long animation sequences and significantly cuts render times. To spread a large number of frames over several machines, also discover our render farm.
Architectural visualisation and real time
Twinmotion, Unreal Engine, D5 Render or Lumion need a lot of VRAM as soon as scenes get detailed. Agencies rent a GPU server to produce video renders, handle complex models or get 4K and 8K exports without saturating their workstations, for example for a competition or a client delivery. Real-time engines such as Unreal Engine are not supported by our render farm: renting a GPU server is then the right solution.
Artificial intelligence: an AI server for training and inference
Model training or retraining, fine-tuning, intensive inference, image generation by diffusion, computer vision, chess analysis with neural-network engines such as Leela Chess Zero: these workloads need a lot of VRAM, constant throughput and an isolated machine. A rented GPU server lets you process sensitive or large datasets in a stable environment, suited to long sessions.
GPU-accelerated simulation
Some simulation solvers (fluids, particles, physics) take advantage of GPU acceleration. If your code runs on the processor, a server with a large number of cores will be more suitable: see our AMD EPYC HPC servers.
How do you rent a GPU server at Ranch Computing?
- Choose your GPU: RTX 3090, 4090 or 5090, depending on the VRAM, the speed and the number of cards you need (up to 8 GPUs per server on request).
- Request a quote: state the duration and the number of servers. Discounts apply based on duration and volume.
- Sign the quote: the rental lasts 3 days minimum.
- Connect remotely: your server is usually accessible a few hours after the quote is signed, via a secure VPN link or dark fibre.
- Extend if needed: tell IT support at least 24 hours before the planned end of the rental to extend the machine’s availability, so you can finish or back up your work. In case of a malfunction, your server is replaced by an identical one within 24 hours at most, and the rental period is extended by the number of hours of interruption.
Technical specifications
| Feature | Detail |
|---|---|
| GPU | NVIDIA RTX 3090, 4090 or 5090 (1 card per server as standard) |
| Video memory (VRAM) | 24 GB (RTX 3090 and 4090) or 32 GB (RTX 5090) |
| Processor | AMD EPYC 7773X (RTX 3090 and 4090); AMD EPYC 9755 (RTX 5090) |
| Memory | 60 GB as standard |
| Storage | NVMe, from 500 GB |
| Network | 25 Gbit/s (100 Gbit/s with the RTX 5090) |
| Non-shared GPU (no vGPU) | Yes: the card is entirely dedicated to your server |
| Available operating systems | Windows 11, Windows Server, Linux |
| Interconnection between servers | 25 to 100 Gbit/s |
| Several GPUs in one server | Yes, on request: from 1 to 4 GPUs per server, up to 8 GPUs |
A secure environment for your data and your models
Your datasets, models and scenes stay protected:
- Secure remote access: each server is accessible via a highly secure VPN link or dark fibre, which isolates your environment.
- Guaranteed confidentiality: Ranch Computing holds the TPN Gold Shield (Trusted Partner Network) label, and a non-disclosure agreement (NDA) can be signed on request.
- Hosting in France: your data is processed in our dedicated infrastructure in Paris.
At Ranch Computing
Why entrust your GPU computations to us?
Stability
Each GPU server is tested before deployment and maintained to run sessions lasting several days.
Technical support
Our team supports you from the quote request to the end of the rental.
Fast availability
Connect remotely to your server a few hours after the quote is signed.
Our clients
Testify
Customer reviews
Reviews cover all Ranch Computing services
Frequently asked questions about GPU server rental
What is a GPU server?
A GPU server is a machine fitted with one or more graphics cards (GPUs) in addition to its processors. A GPU runs thousands of calculations in parallel, which makes it very efficient for artificial intelligence, 3D rendering and simulation. At Ranch Computing, you rent a server fitted with 1 to 8 NVIDIA RTX GPUs, accessible remotely, without buying or maintaining any hardware.
How much does it cost to rent a GPU server?
The price depends on the GPU and the rental period. Base rate (from 3 days): €0.454 excl. VAT per hour for the RTX 3090, €0.871 excl. VAT for the RTX 4090 and €1.185 excl. VAT for the RTX 5090. 10% off from two weeks and 20% off from four weeks, i.e. from €0.363 excl. VAT per hour (RTX 3090 over 4 weeks). The minimum rental period is 3 days.
Which GPU should I choose: RTX 3090, RTX 4090 or RTX 5090?
It depends first on the video memory (VRAM) your project needs: 24 GB for the RTX 3090 and 4090, 32 GB for the RTX 5090. The RTX 3090 suits tight budgets. The RTX 4090 is about twice as fast (OctaneBench 1250 vs 650). The RTX 5090 is the fastest, with 32 GB of VRAM for the heaviest scenes and models. Tell us your software or framework in your quote request and we will recommend the right card.
Can I rent a GPU server for AI?
Yes. Our GPU servers suit training, fine-tuning and inference of AI models (vision, diffusion, classification, language models whose size fits in the available VRAM). The server is isolated and hosted in France, so you can process sensitive datasets (excluding personal health data). For a model that exceeds 32 GB of VRAM, contact us: we can provide up to 8 GPUs per server on request.
What is the delivery time for a GPU server?
For a standard machine, the server is usually available a few hours after the quote is signed. For several machines, a multi-GPU server or a dark fibre link, the lead time is set in the quote. You then connect remotely to your server through a secure VPN link or dark fibre.
Can I install my own software on a GPU server?
Yes. Servers are delivered blank, with only the operating system of your choice (Windows 11, Windows Server or Linux). You install your own software and frameworks yourself, with your own licences.
GPU SERVERS
A rendering or AI project to speed up?
Tell us what you need: we will propose the GPU suited to your project, its duration and your budget.
Projects we have supported
Ages of Vultures – Toni Bratincevic
Maya 2023 – Redshift
Ages of Vultures – Toni Bratincevic
Projet Maya 2023 + Redshift
Interior design rendering
3ds Max – FStormRenderer
Interior design rendering
SCUF Gaming – Witness & Co (Edwin Sumalave)
Cinema 4D – Redshift
Walking In Circles – Santi Zoraidez
Cinema 4D – Octane
SAMSUNG Galaxy A14 5G Screensaver – Clim Studio
Cinema 4D – Redshift
X-Particles / Rhino Loop – Daley Graphics
X-Particles Cinema 4D – Octane
Bottega Veneta XMAS 21 – ONIRIM
Houdini – Redshift
BT Sport x Moto GP – WUNDR
Cinema 4D – Redshift
Martian Logistics Co. – Csaba Molnár
Cinema 4D – Redshift