Cerebras

Overview

Cerebras provides ultra-fast inference using custom wafer-scale engine (WSE) hardware, delivering some of the lowest latencies available for open-source models. Floopy proxies requests to Cerebras’ OpenAI-compatible API.

Supported Models

Setup

1. Go to Settings > Providers in the dashboard.
2. Click Add provider and select Cerebras.
3. Paste your Cerebras API key and click Save.

Usage

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.floopy.ai/v1",
  apiKey: process.env.FLOOPY_API_KEY,
});

const response = await client.chat.completions.create({
  model: "llama-3.3-70b",
  messages: [{ role: "user", content: "Explain quantum computing." }],
});

from openai import OpenAI

client = OpenAI(base_url="https://api.floopy.ai/v1", api_key=os.environ["FLOOPY_API_KEY"])

response = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Explain quantum computing."}],
)

curl https://api.floopy.ai/v1/chat/completions \
  -H "Authorization: Bearer $FLOOPY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "llama-3.3-70b", "messages": [{"role": "user", "content": "Explain quantum computing."}]}'

Provider-Specific Features

• Ultra-low latency — Cerebras WSE hardware delivers inference speeds significantly faster than GPU-based providers.
• High throughput — Ideal for real-time applications and high-volume workloads.
• Simple model names — Models use short names (e.g., llama-3.3-70b) without org prefixes.