Deploy Popular AI/ML Models At The Lowest Cost

Use ready-to deploy Recipes of models like Stable Diffusion, Llama 7B & Whisper.
Sign up, go to Recipe Marketplace, choose model & GPUs and start running.
Get to production fast on the lowest priced cloud in just a few clicks.

Deploy a Model Now
Language learning model - LLM - Llama 7b
FLUX.1-Schnell on
ComfyUI
flux1-schnell-fp8
$0.346 / hour

Flux.1

FLUX 1.0-dev is a cutting-edge, 12 billion parameter rectified flow transformer capable of generating highly detailed images from text descriptions, designed for flexible use in personal, scientific, and non-commercial applications.

Intended Uses & Limitations

While this model delivers exceptional results, it may fail to follow prompts precisely and can amplify biases. It’s unsuitable for factual outputs and restricted from certain harmful or illegal uses as outlined in its non-commercial license.

‍Hardware

  • vCPU - 4x
  • RAM - 30GB
  • GPU - RTX 4090 (24GB)
Alpaca 7b language learning model gpu
Dreamshaper 8 - ComfyUI
dreamshaper8
$0.108 / hour

DreamShaper - 8

DreamShaper 8 is a text-to-image generation model, fine-tuned from Stable Diffusion 1.5, designed to create artistic and detailed imagery across a wide range of styles, from realism to anime.

Intended Uses & Limitations

This model may struggle with highly photorealistic outputs compared to models specialized in that area, but it offers flexibility for both anime and realism with proper skills. Caution is advised for unintended outputs, including NSFW content.

‍Hardware

  • vCPU - 4x
  • RAM - 12GB
  • GPU - RTX 3060 Ti (8GB)
Stable diffusion 1.4 gpu benchmark
SDXL with Refiner
sdxl-with-refiner
$0.104 / hour

Stable Diffusion XL

DreamShaper is a versatile text-to-image model built on Stable Diffusion, capable of generating both artistic and realistic outputs, including anime and photorealistic content.

Intended Uses & Limitations

DreamShaper can struggle with specific prompt fidelity and may amplify biases depending on the input. Users should exercise caution when creating photorealistic imagery, as it excels in creative flexibility but may not be as precise as models dedicated solely to realism.

‍Hardware

  • vCPU - 4x
  • RAM - 30GB
  • GPU - RTX 4090 (24GB)
anythingv4 stable diffusion deployment gpu
YoloV8-M
yolov8
$0.104 / hour

YoloV8

YOLOv8 is a state-of-the-art model from Ultralytics, designed for various tasks such as object detection, instance segmentation, image classification, and pose estimation.

Intended Uses & Limitations

This model excels in fast, accurate object detection and other computer vision tasks but has not been fully optimized for all use cases. Users should explore model training, validation, and customization to ensure it fits their specific application requirements.

‍Hardware

  • vCPU - 8x
  • RAM - 16GB
  • GPU - RTX 4060 Ti (16GB)
Code-llama-7b deployment on gpu
Ollama Llama 3.1
ollama-llama-3.1
$0.12 / hour

Llama 3.1

Llama 3.1 is an instruction-tuned model by Meta with 8 billion parameters, optimized for multilingual dialogue and text generation.

‍Intended Uses & Limitations

Llama 3.1 is optimized for text-based tasks like chatbots, generating coherent, contextually relevant responses across multiple languages. However, users should exercise caution in unsupported languages or sensitive scenarios. Further fine-tuning for specific use cases is recommended to ensure ethical compliance and avoid misuse.

Hardware

  • vCPU - 8x
  • RAM - 8GB
  • GPU - RTX 3060 (12GB)
TGI Mistral 7b Instruct
tgi-mistral-7b-instruct
$0.298 / hour

Mistral 7B

Mistral 7B v0.1 is a pretrained generative language model with 7 billion parameters, optimized for text generation tasks.

Intended Uses & Limitations

As a base model, Mistral 7B v0.1 lacks built-in moderation or safety features, so users should proceed with caution when deploying it in sensitive contexts. Additional fine-tuning is strongly recommended for tasks that require stricter safety, compliance protocols, or specialized performance to ensure proper use.

‍Hardware

  • vCPU - 8x
  • RAM - 16GB
  • GPU - RTX 3090 (24GB)