M
Muon
Serverless Inference

Deploy AI models that scale to zero

A serverless execution layer built for AI inference. Compute scales automatically with demand pay only for what you use.

Deploy your way

Multiple deployment options to fit your workflow.

Docker Images

Deploy using your own Docker container with full control over runtime and dependencies.

GitHub Repositories

Connect your repo and deploy directly with automatic builds from source code.

Predefined Templates

Ready made templates for popular AI models deploy in seconds.

Predefined Model Templates

Start in seconds with optimized templates for every AI modality.

Text Models

LLMs, chat, completion

Image Models

Generation, editing, vision

Video Models

Generation, editing, streaming

Audio Models

Speech, transcription, TTS

Embedding Models

Vector embeddings, RAG

Custom Models

Bring your own model

How it works

From code to production in three simple steps.

1

Choose deployment method

Select a pre-built template, connect your GitHub repo, or deploy a custom Docker image.

2

Configure your endpoint

Set GPU type, scaling limits, and environment variables. Deploy with a single command.

3

Send requests

Get your API endpoint and start making requests. We handle all the scaling for you.

Built for inference workloads

Everything you need for production serverless inference.

Auto-scaling

Scale from zero to thousands of workers based on demand. No manual intervention required.

Pay for Active Compute

Zero cost when idle. You're charged only for actual compute time used on requests.

Fast Cold Starts

Optimized container orchestration for quick cold starts. Your users won't notice.

Invocation Logs

See logs for every request. Debug issues and understand performance.

Real-time Metrics

Track requests, latency, errors, and compute metrics with built-in dashboards.

Usage Tracking

Understand your resource consumption. Track usage patterns and optimize costs.

Perfect for bursty inference

Handle unpredictable traffic patterns with ease. Scale up instantly during peaks, scale down to zero when idle.

AI Chatbots & Assistants

Deploy LLMs that scale with conversation volume

Image Generation APIs

Stable Diffusion, DALL-E style generation at scale

Video Processing

Real-time video analysis and generation

Audio & Speech

Transcription, TTS, and voice synthesis

RAG Applications

Embedding generation for retrieval systems

Real-time Inference

Any unpredictable, on-demand workload

Auto-scaling Architecture

Requests are automatically routed to available workers. When demand increases, new workers spin up instantly. When traffic drops, workers scale down to zero—no idle costs.

Fast scale-up
Zero idle costs
No cold start penalties

Ready to get started?

Talk to our team to learn how serverless inference can scale your AI applications.