ComfyUI Hosting | Stable Diffusion Workflow UI on GPU – B2BHostingClub

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Choose The Best GPU for ComfyUI Hosting

Choosing the Best GPU for ComfyUI Hosting ensures smooth, fast, and reliable AI image generation with models like SDXL, SD 1.5, and LoRA. Whether you're building advanced workflows or running high-resolution outputs, selecting a GPU with the right VRAM (e.g., 16GB–24GB or more) is critical for optimal performance.

Professional GPU VPS - A4000

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  • 32GB RAM
  • Dedicated GPU: Quadro RTX A4000
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered Bandwidth
  • OS: Linux / Windows 10/11
  • Once per 2 Weeks Backup
  • Single GPU Specifications:
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Advanced GPU Dedicated Server - RTX 3060 Ti

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  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Advanced GPU Dedicated Server - A5000

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  • 128GB RAM
  • GPU: Nvidia Quadro RTX A5000
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Enterprise GPU Dedicated Server - RTX 4090

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  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • 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 A6000

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  • 256GB RAM
  • GPU: Nvidia Quadro RTX A6000
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Advanced GPU VPS - RTX 5090

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  • 96GB RAM
  • Dedicated GPU: GeForce RTX 5090
  • 32 CPU Cores
  • 400GB SSD
  • 500Mbps Unmetered Bandwidth
  • OS: Linux / Windows 10/11
  • Once per 2 Weeks Backup
  • Single GPU Specifications:
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32GB GDDR7
  • FP32 Performance: 109.7 TFLOPS

Enterprise GPU Dedicated Server - RTX 5090

/mo

add to cart
  • 256GB RAM
  • GPU: GeForce RTX 5090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • Single GPU Microarchitecture: Blackwell 2.0
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS
  • This is a pre-sale product. Delivery will be completed within 2–10 days after payment.

ComfyUI Hosting vs AUTOMATIC1111 Hosting

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.

Feature
ComfyUI Hosting
AUTOMATIC1111 Hosting
Interface Type Node-based visual workflow editor Web-based UI with prompt input + menus
Learning Curve Medium to high (for advanced workflows) Low (beginner-friendly)
Customization Extremely modular (fine control of pipeline & logic) Limited customization unless with extensions
Model Support Supports SDXL, LoRA, ControlNet, T2I Adapter, custom nodes Supports SDXL, LoRA, ControlNet, via extensions
Best For Power users, automation pipelines, research workflows Artists, hobbyists, casual prompt-based generation
Performance Optimization More efficient GPU usage via controlled graph execution Slightly heavier, but still well-optimized
Workflow Sharing ✅ Native .json export/import for pipelines ❌ Limited; no native workflow graph export
Batch / Multi-Stage Tasks ✅ Excellent for chained or batched generation ⚠️ More manual setup via scripts
Community Plugins Growing ecosystem of custom nodes Mature plugin ecosystem
Offline Use ✅ Fully supported ✅ Fully supported

4 Features of ComfyUI Hosting

Modular & Visual Workflow Editing

ComfyUI uses a node-based interface that lets users visually build and modify generation pipelines. Easily add LoRA, ControlNet, upscalers, or custom prompts—no coding needed.

Supports Advanced Models & Extensions

Seamlessly run SDXL, SD 1.5/2.1, LoRA, ControlNet, and other extensions. It's ideal for deploying experimental workflows and fine-tuned models efficiently on hosted infrastructure.

GPU Optimization for Speed & Stability

ComfyUI is lightweight and efficient. It can be optimized to run on multi-GPU servers or RTX-class cards with half-precision (fp16) support, ensuring faster generation times and more concurrent jobs.

Custom Templates & Workflow Sharing

Supports exporting and importing workflow files. Teams or creators can share ready-made ComfyUI templates across different hosted environments or projects.

Frequently asked questions

ComfyUI is a node-based graphical interface tool for running Stable Diffusion models. Similar to 'building Lego blocks', you can use it to combine various modules: image input, LoRA loading, ControlNet, post-processing, saving output, etc. It is very suitable for advanced users, developers or people who want to build complex workflows.
You still need to download and load the actual models, for example: stabilityai/stable-diffusion-xl-base-1.0, runwayml/stable-diffusion-v1-5, or stabilityai/stable-video-diffusion.
No. Simply open the URL provided in your DBM panel to access ComfyUI’s web interface. All computation runs on the hosted GPU server.
Yes. ComfyUI supports .json workflow exports that can be easily shared, reused, or backed up—ideal for teams or repeatable tasks.
It depends on the model. For SDXL or SD 3.5, you’ll typically need at least 16–24GB of GPU VRAM (e.g., RTX 3090, A5000, or higher). SD 1.5 can run on 8–12GB cards.
Yes. You have full access to upload your own checkpoints, LoRA models, or other assets, and you can also download any models you’ve created or modified.
Only for downloading models or extensions initially. After setup, ComfyUI can be run completely offline, making it suitable for secure or air-gapped environments.

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