🧩 Node-Based Workflow Editor
ComfyUI features a visual, node-based editor, giving users full control over how images are generated.
ComfyUI Hosting on Blazing Fast GPU Servers
Are you a digital artist, developer, or AI enthusiast working with ComfyUI for image generation, Stable Diffusion workflows, or custom visual pipelines? Experience lightning-fast rendering and uninterrupted workflow performance with ComfyUI hosting on DatabaseMart’s powerful GPU servers.
Choose Your ComfyUI Hosting Plans
Database Mart offers best budget GPU servers for ComfyUI. Cost-effective hosted ComfyUI is ideal for hosting your own image generation service.
Advanced GPU Dedicated Server - RTX 3060 Ti
- 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
Advanced GPU Dedicated Server - A5000
- 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
- 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 - A40
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A40
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
- 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
Multi-GPU Dedicated Server- 2xRTX 4090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
- 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
Flash sale to June 16
Enterprise GPU Dedicated Server - A100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
New Arrival
Enterprise GPU Dedicated Server - A100(80GB)
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 80GB HBM2e
- FP32 Performance: 19.5 TFLOPS
Which GPU should I rent for ComfyUI
Here’s a comparison table of the top NVIDIA GPUs for ComfyUI in 2025, featuring models like the RTX 5090, 4090, 4060, 3060 Ti, A6000, A5000, and A100:
🏆 Top NVIDIA GPUs for ComfyUI (2025)
| GPU Model | VRAM | Architecture | Best Use Case | ComfyUI Performance | Notes |
|---|---|---|---|---|---|
| RTX 5090 | 32 GB | Ada-Next | Cutting-edge workflows, ultra HD generation | 🔥 Extreme | Next-gen power, great for SDXL + ControlNets |
| RTX 4090 | 24 GB | Ada Lovelace | Professional artists & studios | 🔥 Excellent | Best consumer GPU for ComfyUI |
| RTX 4060 | 8 GB | Ada Lovelace | Budget generation with SD 1.5 | ⚠️ Moderate | Limited for SDXL or high-res workflows |
| RTX 3060 Ti | 8 GB | Ampere | Entry-level SD 1.5 usage | ⚠️ Moderate | Struggles with SDXL, good with --lowvram |
| A6000 | 48 GB | Ampere | Large models, batching, pro pipelines | 🔥 Excellent | Ideal for multi-model workflows |
| A5000 | 24 GB | Ampere | High-res SDXL generation | ✅ Very Good | Similar to 4090 in VRAM, but less raw speed |
| A100 | 40–80 GB | Ampere | Hosting, parallel users, enterprise use | ✅ Very Good | Powerful but overkill for single-user use |
Advantages of ComfyUI over AUTOMATIC1111
ComfyUI and AUTOMATIC1111 (A1111) are both popular frontends for working with Stable Diffusion, but they serve different needs. Here’s a breakdown of the advantages of ComfyUI over A1111:
🔁 Reproducibility & Transparency
ComfyUI’s workflow system makes every operation visible and trackable. A1111 can save generation parameters, but not the full pipeline logic.
🔄 Modularity & Flexibility
You can mix and match models, samplers, schedulers, and custom nodes without limits.
🧠 Advanced Features for Power Users
ComfyUI supports: Batch operations，Looping, conditionals, and dynamic input，Seamless integration with ControlNet, T2I-Adapter, and other extensions.
📁 File & Data Management
ComfyUI handles: In-line image previews for each node, Real-time graph visualization of process outputs, Better control over intermediate results and outputs.
🌐 Better for Automation & Teams
Its structured approach is more suitable for: Teams collaborating on image workflows, Automated pipelines for content generation, Integration with production or web tools.
Why Choose DatabaseMart for ComfyUI Hosting?
Database Mart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
Blazing Fast GPU Performance
Our servers are powered by NVIDIA RTX 5090, 4090, A40, and A6000 GPUs—offering the perfect blend of speed and stability for real-time image generation and AI model processing.
Premium Hardware
Our GPU dedicated servers and VPS are equipped with high-quality NVIDIA graphics cards, efficient Intel CPUs, pure SSD storage, and renowned memory brands such as Samsung and Hynix.
Customizable Environments
Install your own models, LoRAs, checkpoints, and extensions. Full root access gives you complete control over your creative environment.
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for deep learning and networks.
Secure & Reliable
Enjoy 99.9% uptime, daily backups, and enterprise-grade security. Your data—and your art—is safe with us.
24/7/365 Free Expert Support
Our dedicated support team is comprised of experienced professionals. From initial deployment to ongoing maintenance and troubleshooting, we're here to provide the assistance you need, whenever you need it, without extra fee.
How to Install and Use ComfyUI
ComfyUI is a powerful and modular GUI for Stable Diffusion that lets you create advanced workflows using a node/graph interface. It is a great AUTOMATIC1111 alternative. Let's learn how to install and get started with ComfyUI.
Order and login a GPU server
Download a checkpoint model and run the ComfyUI (run_nvidia_gpu.bat)
Visit ComfyUI in your browser and create your images.
FAQs of ComfyUI Hosting
The most commonly asked questions about ComfyUI hosting service below.
What is ComfyUI?
ComfyUI is a powerful, node-based user interface for running Stable Diffusion, allowing users to build and control image generation workflows visually. Unlike traditional interfaces like AUTOMATIC1111, ComfyUI lets you connect models, samplers, prompts, and effects through drag-and-drop nodes—similar to tools like Blender's shader editor or Unreal Engine's Blueprint system. It's especially popular among advanced users for its modularity, reproducibility, and ability to handle complex, multi-step AI image pipelines with precision.
Why use hosted ComfyUI instead of running it locally?
Running ComfyUI on a hosted GPU server offers:⚡ Faster processing with high-end GPUs (e.g., A6000, 4090, A100), 💾 No need to install drivers or manage dependencies, 🌐 Access from anywhere, on any device, 🧠 Support for large models like SDXL, LoRA stacks, and ControlNet.
How quickly can I get started?
Most servers are ready in under 40~120 minutes after purchase. You’ll receive connection instructions and access details by email.
What are the requirements for running ComfyUI?
To run ComfyUI effectively, you'll need an NVIDIA GPU with at least 8 GB of VRAM, though 12–24 GB is recommended for Stable Diffusion XL and multi-ControlNet workflows. A system with Python 3.10+, CUDA 11.7+, and at least 16 GB of RAM is ideal for smooth performance. An SSD is also recommended for fast model loading and better overall responsiveness.
Can I have a free trial for the ComfyUI server before the payment?
Yes. You can enjoy a 3-day free trial if you leave us a "3 days trial" note when you place your ComfyUI hosting order.