Blender Cloud Rendering, Blender GPU Rendering, Blender Rendering Farm

Rent a high-performance GPU-dedicated server for Blender rendering. Functionality includes functions of Blender GPU rendering, Blender cloud rendering, and Blender rendering farms. Accelerate your Cycles and Eevee workflows with scalable, optimized infrastructure tailored for 3D artists and studios.

Blender Cloud Rendering GPU Server Rental Pricing

Rent a high-performance GPU-dedicated server for Blender cloud rendering. Enjoy full control, faster Cycles and Eevee rendering, and better cost-efficiency than traditional render farms.
Single-GPU Rendering
Multi-GPU Rendering

Advanced GPU Dedicated Server - A5000

191.90/mo
45% OFF Recurring (Was $349.00)
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  • 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

Enterprise GPU Dedicated Server - RTX A6000

409.00/mo
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  • 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

Enterprise GPU Dedicated Server - RTX 4090

409.00/mo
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  • 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

Enterprise GPU Dedicated Server - RTX 5090

479.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: GeForce RTX 5090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 20,480
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS

Features of GPU-Dedicated Server for Blender Cloud Rendering

Powerful GPU Options

Powerful GPU Options

Choose from top-tier GPUs like RTX 4060, A6000, RTX 4090, RTX 5090, or dual-GPU RTX 5090 setups for maximum rendering performance in Blender.
Full Resource Ownership

Full Resource Ownership

Unlike shared Blender render farms, you get exclusive access to all CPU, GPU, RAM, and disk resources — no queue, no throttling.
Optimized for Blender (Cycles & Eevee)

Optimized for Cycles & Eevee

Servers are pre-configured for GPU rendering with OptiX or CUDA, compatible with Blender's Cycles and Eevee engines.
Remote Access & Control

Remote Access & Control

Access your server 24/7 via RDP (Windows) or SSH (Linux) — install your own tools, plugins, and render pipelines.
Scalable Multi-GPU Support

Scalable Multi-GPU Support

Render faster with multi-GPU configurations ideal for animation sequences, batch rendering, or parallel scene rendering.
High-Speed NVMe Storage

High-Speed NVMe Storage

Fast storage speeds reduce Blender file loading and cache write times, improving real-world render efficiency.
Secure File Transfers

Secure File Transfers

Easily upload/download files via FTP, SFTP, or cloud sync. Your project files remain private and secure.
Pre-installed Blender Environment

Pre-installed Blender Environment

Request a ready-to-use Blender setup with the latest NVIDIA Studio driver and render settings pre-configured.
Custom Software Installation

Custom Software Installation

Install other 3D tools (e.g. Octane, Redshift, Houdini) or AI apps like Stable Diffusion, as needed.

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):
Config Approx. Score (pts) Relative to RTX 3060 Ti = 100% Notes
RTX 3060 Ti ~2,538 100% Baseline (Blender 4.3, OptiX) (opendata.blender.org, opendata.blender.org)
NVIDIA A5000 ~6,000 ~236% Extrapolated from Ampere GA102 series
NVIDIA A6000 ~6,120 ~241% Consensus ~6,000 pts OptiX
RTX 4090 ~13,000 ~512% Median score from Blender database
RTX 5090 ~17,800 ~702% ~37% faster than 4090
2× A4000 ~4,400 ~173% Scaled from A5000/A6000 dual — weaker GPU
2× A5000 ~11,500 ~453% Dual scaling near linear
3× A5000 ~17,250 ~680% Triple concurrent tiles
2× RTX 4090 ~26,000 ~1,025% Dual flagship tiles
2× RTX 5090 ~35,600 ~1,403% Projection based on dual scaling
3× A6000 ~18,360 ~723% 3x6k ≈ 3× single A6000
4× A6000 ~24,480 ~964% Approaching dual RTX 4090 range
8× A6000 ~48,960 ~1,929% Massive rendering cluster
RTX 3060 Ti    ██ (100%)
RTX 4060       ██ (110%)
A5000          █████ (236%)
A6000          █████ (241%)
RTX 4090       ██████████(512%)
RTX 5090       ██████████████(702%)
2*A4000        ████ (173%)
2*A5000        █████████ (453%)
3*A5000        █████████████ (680%)
2*RTX 4090     ████████████████████ (1025%)
2*RTX 5090     ████████████████████████████ (1403%)
3*A6000        ██████████████ (723%)
4*A6000        ████████████████████ (964%)
8*A6000        ██████████████████████████████████████████ (1929%)

📈 Highlights & Insights

  • Best single-GPU: RTX 5090 leads (~702% of 3060 Ti).
  • Best dual-GPU: 2×5090 or 2×4090, with ~1,400% and ~1,025% scores respectively.
  • Multi-A6000 setups (4–8 cards) rival or exceed dual consumer card setups in absolute score.
  • Use high-end or multi-GPU configurations for demanding tasks like 8K animations, complex simulations, or heavy VFX.
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Octane
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RedShift
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V Ray
C4D
C4D

Not Just Blender: Freedom to Install Any 3D Software & Render Engines

With a dedicated GPU server, you're not limited to just Blender. Enjoy full administrative access to install and run any 3D software or render engine of your choice — whether it’s Autodesk Maya, 3ds Max, Cinema 4D, Houdini, or SketchUp. Render with Octane, Redshift, Arnold, V-Ray, KeyShot, or even custom pipelines. Unlike limited-access render farms, a dedicated server gives you true flexibility and customization — ideal for studios, freelancers, and teams who rely on specific tools and workflows.

GPU Dedicated Server Rendering Examples

The following figures list the Rendering process by using RTX 4060 server, showing high-end GPU dedicated servers are a reliable solution for 3D rendering.
Gaku
Gaku
Gaku
White-Lands
White-Lands
White-Lands
Lynxsdesign
Lynxsdesign
Lynxsdesign

Rendering Method Comparison: Local vs Dedicated GPU Server vs Render Farm

ItemsLocal RenderingDedicated GPU ServerRender Farm
Device DependencyDependence on local hardware, high upgrade costsNo local restrictions, remote access, powerful hardwareRemote operation, automatic hardware matching
Performance stabilityPerformance is limited by PC configurationExclusive high-performance GPU, controllable resourcesShared resources, there may be queues during rendering
Cost StructureLarge one-time investment + long-term maintenance costsMonthly/yearly rental, long-term rendering is more cost-effectiveBilled by the hour, flexible in the short term but with high cost fluctuations
Flexibility and controlStrong control, limited by local resourcesFully control the environment, supporting customized systems and softwareRendering environments are usually closed, limited to specific plugins and versions
Multi-user parallel rendering supportNot supportedSupport multi-instance/parallel renderingSupports high concurrency (but resource competition)
Data Privacy and SecurityHigh securityAutonomous data upload and encrypted transmissionData needs to be uploaded to a third party, which poses a high privacy risk
Rendering knowledge thresholdBeginners just need to get familiar with the toolsBasic remote usage knowledge requiredEasy to use, suitable for non-technical users
Scene support (large, animated)Limited by video memory and local resourcesOptional high video memory (such as A6000 / 4090 / multiple GPUs) to support complex tasksMost platforms support large scenes, but extra-large tasks require additional fees
Rendering wait timeLocal exclusive, slow but stableStable and fast, can be mounted for a long timeFast but may be queued or delayed due to resource scheduling
Plugin & custom script supportFully supportedSupports custom deployment (such as installing specific rendering plugins)Usually limited plugin types, slow update cycles
Network DependencyNo reliance on the InternetNetwork access must be stableHighly dependent on the network, slow upload process
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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.

Which Blender render engine supports GPU rendering?

  • Cycles supports GPU rendering (CUDA/OptiX/HIP).
  • Eevee also utilizes GPU but in real-time — it always renders with GPU, not CPU.
  • Workbench is viewport-focused and uses GPU as well.
  • 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

    Is GPU rendering faster than CPU rendering in Blender?

    Yes — by a large margin. A modern GPU like the RTX 4090 can render 5–10× faster than even high-core-count CPUs. GPU rendering is the preferred choice for most Blender workflows.

    Can I use multiple GPUs in Blender?

    Yes. Blender supports multi-GPU rendering with Cycles. Each GPU renders a tile independently, leading to near-linear scaling for many scenes. However, VRAM is not shared between GPUs.

    How much VRAM is needed for GPU rendering in Blender?

  • 8GB VRAM is the minimum for comfortable work
  • 16–24GB+ is recommended for large scenes (e.g. characters, simulations, high-res textures). If your scene exceeds VRAM, rendering may fail or fall back to CPU.
  • 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
    You can even request data wipe after the project ends.

    Can I render in Blender using both CPU and GPU?

    Yes, Blender allows hybrid rendering with CPU + GPU enabled under Edit > Preferences > System > Cycles Render Devices. However, it's often better to use GPU alone unless your CPU is very powerful.

    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

    Do I need to install anything to enable GPU rendering?

    Yes, ensure:
  • Latest NVIDIA Studio Driver (for OptiX/CUDA) or AMD driver (for HIP)
  • Blender version supports your hardware
  • Proper rendering device selected in Edit > Preferences > System
  • Keywords:

    Blender GPU rendering, Blender cloud rendering, Blender render server, best GPU for Blender, Blender rendering farm, Cycles GPU render, Eevee rendering, rent GPU server for Blender, Blender render node, RTX 4090 Blender, Blender benchmark GPU