High cost performance
More economical than cloud rendering, extremely cost-effective for long-term projects.
GPU Rendering Dedicated Server: FAQs, Performance, Compare with Render Farm
Compared to rendering on a local PC, a GPU Dedicated Server offers significantly more performance, stability, and flexibility — without the need for expensive hardware investments or workstation upgrades. Unlike traditional cloud render farms, which often involve shared resources, long queue times, and limited software compatibility, a dedicated GPU server gives you exclusive access, full environment control, and predictable costs.
Best Rendering GPU Server Rental Pricing
This service allows users to tap into the parallel processing power of GPUs to create stunning 3D animations, visual effects, and other high-quality graphics with speed and efficiency.
Flash Sale to May 27
Advanced GPU Dedicated Server - RTX 3060 Ti
$ 119.50/mo
50% OFF Recurring (Was $239.00)
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Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Basic GPU Dedicated Server - RTX 4060
$ 149.00/mo
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Order Now- 64GB RAM
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 4060
- Microarchitecture: Ada Lovelace
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
- Ideal for video edting, rendering, android emulators, gaming and light AI tasks.
New Arrival
Basic GPU Dedicated Server - RTX 5060
$ 159.00/mo
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- 64GB RAM
- Eight-Core Gold 6144
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 5060
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Flash Sale to May 27
Advanced GPU Dedicated Server - A4000
$ 139.50/mo
50% OFF Recurring (Was $279.00)
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Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A4000
- Microarchitecture: Ampere
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
- Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.
Advanced GPU Dedicated Server - A5000
$ 269.00/mo
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Order Now- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Flash Sale to May 27
Enterprise GPU Dedicated Server - RTX A6000
$ 329.00/mo
40% OFF Recurring (Was $549.00)
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Order Now- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
- Optimally running AI, deep learning, data visualization, HPC, etc.
Enterprise GPU Dedicated Server - RTX 4090
$ 409.00/mo
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Order Now- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
- Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
$ 999.00/mo
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Order Now- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
More GPU Hosting Plansarrow_circle_right
Why choose Dedicated GPU Server for Rendering?
Full control
Supports you to freely deploy Blender, plugins, and rendering scripts.
Suitable for heavy workflows
It is more suitable for multi-GPU parallel rendering, rendering animation, and long-term tasks (several hours/days).
Avoid resource congestion
Unlike cloud rendering platforms, which are limited by scheduling queues, the performance is stable and the time is controllable.
Rendering Method Comparison: Local vs Dedicated GPU Server vs Cloud Render Farm
| Items | Local Rendering | Dedicated GPU Server | Cloud Render Farm |
|---|---|---|---|
| Device Dependency | Dependence on local hardware, high upgrade costs | No local restrictions, remote access, powerful hardware | Remote operation, automatic hardware matching |
| Performance stability | Performance is limited by PC configuration | Exclusive high-performance GPU, controllable resources | Shared resources, there may be queues during rendering |
| Cost Structure | Large one-time investment + long-term maintenance costs | Monthly/yearly rental, long-term rendering is more cost-effective | Billed by the hour, flexible in the short term but with high cost fluctuations |
| Flexibility and control | Strong control, limited by local resources | Fully control the environment, supporting customized systems and software | Rendering environments are usually closed, limited to specific plugins and versions |
| Multi-user parallel rendering support | Not supported | Support multi-instance/parallel rendering | Supports high concurrency (but resource competition) |
| Data Privacy and Security | High security | Autonomous data upload and encrypted transmission | Data needs to be uploaded to a third party, which poses a high privacy risk |
| Rendering knowledge threshold | Beginners just need to get familiar with the tools | Basic remote usage knowledge required | Easy to use, suitable for non-technical users |
| Scene support (large, animated) | Limited by video memory and local resources | Optional high video memory (such as A6000 / 4090 / multiple GPUs) to support complex tasks | Most platforms support large scenes, but extra-large tasks require additional fees |
| Rendering wait time | Local exclusive, slow but stable | Stable and fast, can be mounted for a long time | Fast but may be queued or delayed due to resource scheduling |
| Plugin & custom script support | Fully supported | Supports custom deployment (such as installing specific rendering plugins) | Usually limited plugin types, slow update cycles |
| Network Dependency | No reliance on the Internet | Network access must be stable | Highly dependent on the network, slow upload process |
| Recommend | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ |
Blender Benchmark GPU Comparison (Cycles GPU)
The following is a Blender Benchmark GPU comparison table based on public data, actual test results and performance estimates (RTX 3060 Ti = 100% benchmark) , which is mainly applicable to Cycles renderer GPU mode (OptiX acceleration):
| GPU Models | Blender 4.x Benchmark Score | Power consumption (TDP) | Suitable for the scene | Recommendation |
|---|---|---|---|---|
| RTX 3060 Ti | ~1200 pts | 200W | Entry -level rendering jobs | ★☆☆☆☆ |
| RTX 4060 | ~1300–1400 pts | 115W | More power efficient but not much difference | ★☆☆☆☆ |
| A5000 | ~3600 pts | 250W | Professional card, suitable for large scenes | ★★☆☆☆ |
| A6000 | ~4700 pts | 300W | Workstation flagship, no pressure for large scenes | ★★★☆☆ |
| RTX 4090 | ~7200 pts | 450W | Professional animation rendering, 8K output | ★★★★☆ |
| RTX 5090 | ~10,000 pts | ~500W | Next-generation flagship rendering tasks | ★★★★★ |
RTX 3060 Ti ████████ (100%)
RTX 4060 ████████ (110%)
A5000 ██████████████████████ (300%)
A6000 ██████████████████████████ (390%)
RTX 4090 ██████████████████████████████████████████ (600%)
2×A6000 ████████████████████████████████████████████████ (750%)
RTX 5090 ███████████████████████████████████████████████████ (830%)
2xRTX 4090 ████████████████████████████████████████████████████████ (1100%)
2×RTX 5090 ██████████████████████████████████████████████████████████████████████████ (1600%)
📝 Additional Notes:
- Blender Benchmark data sources : Blender Open Data, Puget Systems, Tom's Hardware, user tests and performance estimates.
- When using multiple GPUs, Blender Cycles can effectively utilize all graphics cards (provided that there is enough video memory and PCIe/NVLink is not limited).
Blender CPU Benchmark Rendering Comparison
Cycles rendering mode, pure CPU, no GPU acceleration
| CPU Models | Cores/Threads | Blender Benchmark score (estimated) | Relative performance (based on E5-2667v3) | Recommendation |
|---|---|---|---|---|
| E5-2667 v3 | 8C / 16T | ~900 pts | 100% | ★★★☆☆ |
| E5-2690 | 8C / 16T | ~850 pts | ~94% | ★★★☆☆ |
| E5-2697 v4 | 18C / 36T | ~1600–1700 pts | ~185% | ★★★★☆ |
| Xeon Gold 6148 | 20C / 40T | ~2500–2600 pts | ~290% | ★★★★★ |
| Xeon Platinum 8160 | 24C / 48T | ~3100–3300 pts | ~360% | ★★★★★ |
E5-2667v3 ██████████ (100%)
E5-2690 █████████ (94%)
E5-2697v4 ███████████████████ (185%)
Gold 6148 ███████████████████████████ (290%)
Platinum 8160 ██████████████████████████████████ (360%)
📝 Additional Notes:
- E5-2667v3 and E5-2690 are early CPUs, suitable for basic modeling and light rendering.
- E5-2697v4 / 2×2697v4 is an economical multi-core solution suitable for users with limited budget but pursuing thread concurrency.
- The Gold 6148 / Platinum 8160 are modern Xeons comparable to high-end Threadripper and suitable for medium to large workflows.
- CPU rendering vs GPU rendering : Even though high-end CPUs have excellent multi-core performance, their rendering efficiency is still significantly behind that of GPUs such as the RTX 4090 (the GPU advantage is orders of magnitude acceleration).
Octane
RedShift
V Ray
Cycles
GPU Servers: Freedom to Install Any 3D Software & Render Engines
Unlike Rendering Farm, a GPU server provides full flexibility to install and run any 3D modeling, animation, and rendering software, along with industry-standard renderers. Whether you're working with Blender, Maya, 3ds Max, Cinema 4D, Unreal Engine, or Houdini, a dedicated GPU-accelerated server ensures seamless performance for complex projects.
GPU Dedicated Server Rendering Examples
The following figures list the complete process from model to rendering, showing GPU dedicated servers are a reliable solution for 3D rendering.
RTX Makes GPU Render Server Faster
The NVIDIA RTX platform has the fastest GPU rendering solution available today. By connecting NVIDIA RTX Or NVIDIA Quadro RTX graphics card with a combination of technology applications, designers and artists from all walks of life can introduce the most advanced rendering technology into their professional workflow.
DLSS Helps Renders Generate Clearer Images
DLSS represents deep learning supersampling. After rendering the game at a lower resolution, DLSS will infer information from its super-resolution image training knowledge base to generate an image that still looks like it is running at a higher resolution. The idea is to make a 1440p game look like 1440p when running a 4K or 1080p game.
FAQs of GPU Rendering Dedicated Server Rental
What is a GPU Rendering Dedicated Server?
A GPU Rendering Dedicated Server is a high-performance server equipped with powerful GPUs (e.g. RTX 4090, A6000, etc.) specifically configured for 3D rendering, animation, VFX, and AI workloads. Unlike shared cloud solutions, you get exclusive access to the server's full resources.
What are the benefits over a cloud render farm?
- Resource Control: Full control, exclusive
- Customization: Fully customizable stack
- Cost (Long-Term): More affordable
- Offline Use: Works like your own PC
Do I need any technical knowledge to use the server?
Basic familiarity with remote desktop (Windows RDP) is useful. But we offer:
- Pre-installed environment
- One-click templates for Blender / Octane / Redshift
- Technical support for setup & software installation
Is my project data secure?
Yes. You have full control over:
- File upload/download (via FTP/SFTP/RDP)
- Server-level encryption (optional)
- No 3rd party access to your files
Can I install other software (like Adobe, Davinci, Stable Diffusion)?
Yes. Our dedicated servers are full-fledged machines. You can install:
- Editing software: Adobe After Effects, Davinci Resolve
- AI tools: Stable Diffusion, ComfyUI
- Any software that benefits from GPU acceleration
What rendering software is supported?
Our GPU servers support all major rendering and 3D software that benefit from GPU acceleration, including:Blender (Cycles, Eevee), OctaneRender, Redshift, V-Ray GPU, Arnold GPU, Cinema 4D, Maya, Houdini, 3ds Max (with compatible GPU render engines), Unreal Engine / Unity light baking. You can install any renderer as needed or request us to pre-install them.
Can I run multi-GPU rendering?
Yes. We offer multi-GPU servers (e.g. 2× A6000, 2× RTX 4090) that are optimized for parallel rendering workflows. Ideal for:
- Multi-frame batch rendering
- Split-frame distributed rendering (supported in Blender Cycles X, Redshift, etc.)
- Render farms via network render nodes
What’s the difference between GPU and CPU rendering?
- GPU rendering is faster (10x to 50x), CPU rendering is slower, especially in complex scenes
- GPU rendering scales easily with more GPUs, CPU rendering is expensive with CPUs with more cores
- GPU rendering is best for animation, ray tracing, scenes with complex lighting, CPU rendering is good for background physics, procedural scenes
How is pricing calculated?
We offer monthly, weekly, and hourly rental options based on GPU type and configuration. Long-term rental includes better pricing and reserved capacity.
Need help choosing the right GPU server?
We offer free consultation to match your workflow (Blender, Cinema 4D, Octane, Unreal, etc.) to the ideal GPU setup.