Inference at the
speed of lightning

Production-grade LLM serving with an OpenAI-compatible API. First token in under 90 ms, streamed straight to your app.

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87msmedian time-to-first-token
99.95%monthly uptime
12global edge regions

⚡ Low latency

Speculative decoding and continuous batching keep p99 latency flat under load.

🔌 Drop-in API

Point your existing OpenAI SDK at our endpoint — no rewrites, just a new base URL.

🌍 Edge routing

Requests land on the nearest region automatically over HTTP/2 and gRPC streaming.

🔒 Private by default

Zero retention. Prompts and completions are never logged or used for training.

📈 Autoscaling

From one request to millions — capacity scales transparently, you only pay per token.

🧩 Open models

Llama, Qwen, Mistral and more, plus your own fine-tunes served on dedicated nodes.

Three lines to your first completion

# pip install openai from openai import OpenAI client = OpenAI( base_url="https://api.molniaai.com/v1", api_key="mol_sk_...", ) stream = client.chat.completions.create( model="molnia-llama-3.3-70b", messages=[{"role": "user", "content": "Explain TLS 1.3 in one line."}], stream=True, ) for chunk in stream: print(chunk.choices[0].delta.content or "", end="")

Built for teams shipping AI

From prototypes to high-traffic products — Molnia AI keeps inference fast, private, and predictable so you can focus on the product.

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