Best AI Fine-Tuning Platforms for ComfyUI

Utilize advanced open models such as Llama, Mistral, Qwen, and Gemma on powerful RTX 5090 GPUs, starting at just €0.75 per hour, charged per second. Each GPU is equipped with 32 GB of VRAM, making it possible to perform LoRA and QLoRA fine-tuning on various models ranging from 7B to 13B on a single GPU. For larger projects, you can scale up to multi-GPU setups with up to 8 GPUs. This per-second billing model allows you to conduct brief experiments or hyperparameter tuning without incurring unnecessary costs. Kick off your projects with PyTorch or Jupyter templates enhanced by Hugging Face tools, and easily save your environment as an image for quick re-launching in future sessions. Store your datasets and checkpoints in S3-compatible object storage without any egress fees. Once your model is trained, you can deploy it directly on the same platform using vLLM or an OpenAI-compatible Inference API endpoint.