Solutions · Rendering & simulation
GPU servers for rendering and simulation, by the month
Render farms and simulation rigs are bought, not metered — until the project outgrows the office. A dedicated workstation-class GPU server with the professional driver, Windows if you need it and a fixed monthly price is the same machine, in a Tier III facility, without the capital.
- Recommended GPU$749NVIDIA RTX PRO 6000 Blackwell, 96 GB GDDR7 ECC, per month
- Same GPU, hourly on-demand$1,606market median × 730 h
- You keep−53%$857 a month, every month
Hardware
Which GPU for rendering & simulation
Four picks from the catalogue, each a dedicated server with host, NVMe, network and support included. Click through for specs, price by term and the market comparison.
| GPU | Why for this workload | Per GPU, per month | Availability |
|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell96 GB GDDR7 ECC · Blackwell | 96 GB with ECC and fourth-generation RT cores: the biggest scenes, CFD and digital twins. | $749 | 6 left |
| NVIDIA RTX 509032 GB GDDR7 · Blackwell | The fastest single consumer GPU for path tracing and generative pipelines, with 32 GB. | $279 | 11 left |
| NVIDIA RTX 409024 GB GDDR6X · Ada Lovelace | 24 GB and Ada RT cores for render nodes, previews and look development at the lowest price. | $189 | 19 left |
| NVIDIA L40S48 GB GDDR6 · Ada Lovelace | 48 GB with ECC, RT cores and video engines: rendering plus streaming or transcoding in one box. | $429 | 17 left |
Highlighted row: our default recommendation for rendering & simulation. Prices per GPU per month in USD, excl. VAT; 3-, 6- and 12-month terms take 5–15% off. Stock counters updated 18 September 2026.
Sizing
What decides the GPU for a render job?
Rules of thumb we use when a customer asks which GPU to order. Memory decides; everything else is speed.
From order to first run
- Pick the GPU for the sceneMemory first, then RT generation: the RTX PRO 6000 for the largest scenes, the 5090 for speed, the 4090 for render nodes on a budget.
- Windows or Linux, ready to renderWindows Server with the RTX driver and RDP, or Ubuntu with the driver, CUDA and Docker — your renderer installs on top, licensed as on any workstation.
- Move assets onceLocal NVMe for the working set, block volumes for the library, 20 TB of transfer a month for the output.
- Render around the clockThe GPU is yours 24/7 for the term: queue overnight jobs without watching a meter.
In every server
- Single-tenant bare metal. Your GPU, CPU cores, RAM and NVMe are yours alone. No noisy neighbours, no oversubscription.
- 10–25 Gbps uplink. Dedicated bandwidth per server with 20 TB of outbound transfer included every month. No egress fees.
- Local NVMe storage. Fast scratch space for datasets and checkpoints, sized to the GPU. Expand with attached block volumes.
- Ready-to-train images. Ubuntu with NVIDIA drivers, CUDA 12, cuDNN and Docker — or PyTorch, TensorFlow, vLLM, Kubernetes and Windows Server images at checkout.
- Public IPv4 & IPv6. A dedicated IPv4 address and a /64 IPv6 block on every server, with reverse DNS on request.
- DDoS protection. Always-on volumetric mitigation at the network edge, included at no charge.
Rendering & simulation on a monthly GPU: questions answered
Can I run Windows for rendering?
Yes, on the workstation-class GPUs — RTX PRO 6000, RTX 5090 and RTX 4090: Windows Server 2022 or 2025 with the NVIDIA RTX driver and RDP, chosen at checkout for a monthly licence fee. Data center GPUs run Linux.
Which renderers work?
Anything that runs on an NVIDIA RTX GPU with the standard driver: Blender Cycles, Octane, Redshift, V-Ray GPU, Arnold GPU, Unreal Engine, Omniverse. You install and license your software as on any workstation; the machine is single-tenant bare metal.
Is the price per GPU or per server?
Per GPU, per month, with the dedicated host — CPU cores, RAM, NVMe, network — included. Order several GPUs for a render node; term discounts of 5–15% apply to 3-, 6- and 12-month commitments.
Start rendering & simulation tonight
Every GPU above is in stock. Fund your balance, pick the server, and be at a root prompt in under 10 minutes.