M
Muon
AI Inference

AI Inference at Scale

Deploy and scale AI models for real-time predictions. Build chatbots, image generators, transcription services, and more with production-ready infrastructure.

What you can build

Real-time AI inference for any application.

AI Chatbots & Assistants

Build conversational AI products with LLMs like Llama, Mistral, or your own fine-tuned models.

Image Generation APIs

Deploy Stable Diffusion, SDXL, or custom image models for on-demand generation.

Video Processing

Real-time video analysis, generation, and editing at scale.

Audio Processing

Transcription with Whisper, text-to-speech, and audio classification.

Code Completion

Power IDE integrations and coding assistants with CodeLlama or StarCoder.

Embedding APIs

Generate embeddings for RAG applications and semantic search.

Built for production

Everything you need for production-ready inference.

Auto-scaling

Scale from zero to thousands of workers automatically based on demand.

Low Latency

Optimized infrastructure for fast response times in production.

Production Ready

Built-in authentication, rate limiting, and error handling.

Observability

Monitor latency, throughput, and errors in real-time.

Optimized for real workloads

Production inference requires more than just GPUs. We handle the hard parts.

Low latency serving

Optimized cold starts, dynamic batching, and efficient request handling for fast response times.

Dynamic batching
Warm worker pools

Real-time observability

Monitor latency percentiles, throughput, error rates, and GPU utilization in real-time.

p95/p99 latency metrics
Request tracing

Optimized runtimes

Support for vLLM, SGLang, and quantized models to maximize throughput on every GPU.

vLLM & SGLang
INT8/FP16 quantization

Ready to get started?

Talk to our team to learn how our inference platform can power your AI applications.