Inference
Without
Limits
Distributed inference infrastructure for open source LLMs.
Production ready, low latency, scalable.
Distributed inference infrastructure for open source LLMs.
Production ready, low latency, scalable.
Drop-in OpenAI-compatible endpoint. Switch your base URL and you're running on our distributed network.
from openai import OpenAI
client = OpenAI(
base_url="https://api.moecorp.co/v1",
api_key="your-api-key"
)
response = client.chat.completions.create(
model="llama-3.3-70b",
messages=[
{"role": "user", "content": "Hello!"}
],
stream=True
)
for chunk in response:
print(chunk.choices[0].delta.content)Requests automatically route to healthy nodes. Zero downtime, zero cold starts.
Inference runs closest to your users across 40+ global regions.
Pay only for tokens processed. No idle GPU costs, no reserved capacity fees.
Draft models predict tokens in parallel, achieving up to 3x faster generation without sacrificing quality.
Continuous batching with intelligent request scheduling maximizes throughput while maintaining strict latency SLAs for each request.
Prefix caching and intelligent memory management reduce TTFT by up to 80% for repeated context patterns and system prompts.
From 7B to 405B parameters. Fine-tuned variants, quantized options, and everything in between.