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 Infotronics Integrators (I) Pvt. Ltd powerful GPU servers

  • Windows or Linux OS
  • Full Root/Admin Access
  • Support RDP/SSH Access
  • 24/7 technical support from real humans
  • Dedicated high-performance GPU (no sharing)

Choose Your ComfyUI Hosting Plans

Infotronics Integrators (I) Pvt. Ltd offers best budget GPU servers for ComfyUI. Cost-effective hosting of ComfyUI
cloud is ideal for hosting your own image generation service.

Advanced GPU Dedicated Server - RTX 3060 Ti

  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • (24 Cores & 48 Threads)
  • 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
  • (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX 5060

  • Microarchitecture: Ampere
  • CUDA Cores: 4608
  • Tensor Cores: 144
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8
         TFLOPS

    • Enterprise GPU Dedicated Server - A40

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • (36 cores & 72 threads)
  • 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
  • (36 cores & 72 threads)
  • 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
  • (36 cores & 72 threads)
  • 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


    • Multi-GPU Dedicated Server- 2xRTX 5090

  • 256GB RAM
  • Dual Gold 6148
  • (40 Cores & 80 Threads)
  • 240GB SSD + 2TB NVMe +
         8TB SATA
  • 1Gbps


    • OS: Windows / Linux
    GPU: GeForce RTX 4090

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 20,480
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7
        TFLOPS

    • Enterprise GPU Dedicated Server - A100

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • (36 cores & 72 threads)
  • 240GB SSD + 2TB NVMe +
         8TB SATA
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: Nvidia A100

  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 48HB HBM2
  • FP32 Performance: 19.5
        TFLOPS


    • Enterprise GPU Dedicated Server - A100(80GB)

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • (36 cores & 72 threads)
  • 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 --lowram
    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:

    Text-to-Image

    Node-Based Workflow Editor

    ComfyUI features a visual, node-based editor, giving users full control over how images are generated.



    Image-to-Image

    Reproducibility & Transparency

    ComfyUI’s workflow system makes every operation visible and trackable. A1111 can save generation parameters, but not the full pipeline logic.


    Inpainting

    Modularity & Flexibility


    You can mix and match models, samplers, schedulers, and custom nodes without limits.



    Upscaling

    Advanced Features for Power Users

    ComfyUI supports: Batch operations，Looping, conditionals, and dynamic input，Seamless integration with ControlNet, T2I-Adapter, and other extensions.

    Model Management

    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.


    Parameter Tuning

    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 Infotronics Integrator's (I) Pvt. Ltd for ComfyUI Hosting?

    Infotronics Integrator's (I) Pvt. Ltd enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.

    Intel Xeon CPU

    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.

    SSD-Based Drives

    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.

    Full Root/Admin Access

    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

    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.

    Dedicated IP

    Secure & Reliable

    Enjoy 99.9% uptime, daily backups, and enterprise-grade security. Your data—and your art—is safe with us.


    24/7/365 Technical Support

    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, unzip and install ComfyUI on Windows



    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.
    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.
    Most servers are ready in under 40~120 minutes after purchase. You’ll receive connection instructions and access details by email.
    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.
    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.

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