TABLE OF CONTENTS
NVIDIA H100 SXM On-Demand
In our latest blog, we explore how ComfyUI’s node-based interface empowers users to create and experiment with AI-generated images more efficiently. We also talk about the top cloud GPUs for 2025, showing options for both budget-conscious users and high-performance workflows. By pairing ComfyUI with the right GPU, you can enhance speed, scalability and workflow control. Platforms like Hyperstack make it easy to deploy these GPUs in minutes and start creating instantly.
What is ComfyUI?
ComfyUI is an open-source, node-based program designed for image generation using text prompts. It builds on free diffusion models such as Stable Diffusion and integrates tools like ControlNet and LoRA (Low-Rank Adaptation) to improve functionality. In ComfyUI, each model or tool is represented as a node, helping users map out their AI workflows visually.
Why Use ComfyUI?
No matter if you are a beginner or an advanced user, you can still use ComfyUI for image generation. For example:
- If you’re exploring creative image concepts, you can easily chain nodes to experiment with styles, prompts and control mechanisms.
- If you’re fine-tuning models, nodes like LoRA allow precise adjustments without rewriting code.
- If you want multi-step workflows, ControlNet nodes let you guide image generation with reference images or structural constraints.
- If you want full control over outputs, live previews let you see changes in real time and iterate faster.
- If you collaborate with others, reusable workflows allow you to save, share and rebuild projects instantly.
Best Cloud GPUs for ComfyUI in 2025
Choosing the right cloud GPU for ComfyUI is important. Below, we explore the top cloud GPUs for 2025 and how these GPUs can help you improve your workflow:
NVIDIA H100 SXM
The NVIDIA H100 SXM is an ideal choice for enterprises handling large-scale AI workloads. It offers 80 GB of HBM3 memory, over 1,900 Tensor Cores and 600 GB/s NVLink bandwidth for ultra-fast GPU-to-GPU communication.
ComfyUI users benefit from the NVIDIA H100 SXM when working with models containing hundreds of millions to tens of billions of parameters. Its massive computational power ensures that training, fine-tuning and inference occur at lightning speed. On Hyperstack, you get high-speed networking support of up to 350 Gbps that ensures that multi-node deployments remain efficient and scalable.
NVIDIA H100 PCIe
The NVIDIA H100 PCIe is one of the most popular GPUs used for cutting-edge AI performance. The GPU offers 1,984 Tensor Cores, HBM3 memory and support for high-speed networking of up to 350 Gbps on Hyperstack.
For ComfyUI users, the NVIDIA H100 PCIe accelerates inference and model training. You can handle large-scale datasets and complex model architectures while maintaining responsiveness in the UI. Its robust FP64 and inference performance make it suitable for precision-intensive workflows, such as scientific simulations or advanced generative AI.
NVIDIA A100 PCIe
Although based on a previous-generation architecture, the NVIDIA A100 PCIe continues to deliver amazing performance for AI workloads. With 80 GB of HBM2e memory and 432 Tensor Cores, this GPU offers the perfect balance between cost and performance.
When using on ComfyUI, the NVIDIA A100 could be a great option for smaller-scale training and inference tasks. Its large memory allows you to process massive datasets without bottlenecks, while our high-speed networking support ensures smooth data transfer between nodes. If your team is budget-conscious but still wants to train models with tens of millions of parameters, the NVIDIA A100 provides an excellent entry point.
NVIDIA L40
Built on the Ada Lovelace architecture, the NVIDIA L40 offers 48 GB of GDDR6 ECC memory and 568 fourth-generation Tensor Cores, making it a capable choice for real-time AI applications.
When deploying on ComfyUI, the L40 is a great choice for users working on 3D visualisation or virtual environments. Its Tensor Cores accelerate model inference for simulation tasks, while the ample memory ensures high-resolution datasets can be processed without crashing. The L40 also balances performance with cost, making it a great option for teams experimenting with AI in graphics-intensive workflows.
NVIDIA RTX A6000
The NVIDIA RTX A6000 is designed for professionals needing consistent performance for AI, deep learning, real-time rendering and simulation tasks. With 10,752 CUDA Cores, 336 Tensor Cores and 48 GB of ECC GDDR6 memory, it handles massive datasets with ease.
ComfyUI users can benefit from the NVIDIA RTX A6000’s memory bandwidth of 768 GB/s and enhanced RT Cores for rendering workflows. This means that AI training, simulation and visualisation pipelines run without lag, even under heavy workloads.
How to Choose the Right GPU for ComfyUI
While all these GPUs are great in performance, your choice depends on your project’s scale, budget and workflow:
- For small-scale or budget projects, the NVIDIA A100 or NVIDIA L40 offers decent performance without overspending.
- For large-scale AI training or high-precision workloads, the NVIDIA H100 SXM and NVIDIA H100 PCIe offer great speed and multi-node compatibility.
- For professional-grade rendering or creative workloads, the NVIDIA RTX A6000 ensures reliability, high memory bandwidth and smooth integration with complex workflows.
Conclusion
The best way to choose a cloud GPU for ComfyUI is to align your project needs with the specific GPU. You can train large models, render high-resolution simulations and run complex inference tasks smoothly. ComfyUI’s node-based interface with powerful cloud GPUs can help you build efficient and highly productive experiences.
On Hyperstack, you can deploy powerful cloud GPUs in minutes and start running your ComfyUI workflows without delays. Access Hyperstack today and experience the speed, flexibility and performance your AI projects deserve.
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FAQs
What is ComfyUI?
ComfyUI is an open-source, node-based program for generating images from text prompts, using diffusion models like Stable Diffusion and tools like ControlNet and LoRA.
Why should I use ComfyUI?
ComfyUI allows visual AI workflows, easy experimentation with prompts, real-time previews, reusable workflows and full control over multi-step image generation pipelines.
Which GPUs work best with ComfyUI?
Some of the best GPUs for ComfyUI include the NVIDIA H100 SXM, NVIDIA H100 PCIe, NVIDIA A100 PCIe, NVIDIA L40 and NVIDIA RTX A6000.
Which GPU is best for budget-conscious ComfyUI users?
The NVIDIA A100 PCIe and NVIDIA L40 provide strong performance for smaller-scale training, inference or creative workflows while being cost-effective.
Which GPU is ideal for large-scale AI training on ComfyUI?
The NVIDIA H100 SXM and NVIDIA H100 PCIe excel at handling massive models, multi-node setups and precision-intensive tasks with ultra-fast networking.
How do I choose the right GPU for my ComfyUI project?
Consider project scale, model size, workflow complexity and budget. Budget-friendly GPUs suit smaller tasks, while NVIDIA H100 SXM or NVIDIA RTX A6000 handle large or professional workloads.
Can I run ComfyUI on cloud GPUs easily?
Absolutely. Platforms like Hyperstack let you deploy cloud GPUs in minutes, enabling high-speed and scalable ComfyUI workflows without setup delays.
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