One-click LLM deployment

One-click AI model deployment using Hugging Face endpoints, saving time and effort with cost-effectiveness, with optimized performance based on selected hardware.

Deploy Models Made Easy

Deploy models on dedicated and secure infrastructure without dealing with containers and GPUs

Streamlined Deployment Process.
Transform a Hugging Face AI models into production-ready APIs with just a few clicks.
Optimized Performance.
Maximize efficiency with automatic performance optimization based on your chosen hardware configuration.
Cost-Effective Solution.
Pay only for the compute resources you use, with our fully-managed inference solution.
Secure Endpoints.
Protect your deployed models with API key authentication, ensuring authorized access only.
Product screenshot

How To Use

Deploy models for production in a few simple steps

1. Paste your model link

Select the model from HuggingFace and paste the model repository link. You can deploy LLMs based on models like Llama and Gemma, as well as code completion models such as Qwen.

Select your model

2. Configure your instance

Choose your cloud provider, region, GPU specifications, and optimization techniques. We offer GPUs ranging from L4 to H200. Currently, you can select from over 5 regions, including North America and Asia Pacific.

Choose your cloud

3. Instance Created

Click "Start Deploy" and your new endpoint along with the API key will be ready in a couple of minutes. You can regenerate the API key if needed. Easily monitor activity logs, usage, and costs, and quickly test your model using the chat playground in your instance.

Create and manage your endpoint

Pricing

Self-Serve

Pay as you go when using instances
  • Pay for what you use, per minute
  • Starting as low as $1.2/hour
  • Email support

GPU instances

GPU compute resources
ProviderArchitectureGPU Memory
AWSL4x124GB
AWSL4x496GB
AWSA10x124GB
AWSA10x496GB
AWSL40sx148GB
AWSL40sx4192GB
Siam AIH100x180GB
Siam AIH200x180GB

Start now with One-Click LLM deployment

Deploy models for production in a few simple steps