SambaNova

Overview

SambaNova provides high-performance inference using custom RDU (Reconfigurable Dataflow Unit) hardware, optimized for large language model serving. Floopy proxies requests to SambaNova’s OpenAI-compatible API.

Supported Models

Setup

1. Go to Settings > Providers in the dashboard.
2. Click Add provider and select SambaNova.
3. Paste your SambaNova 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: "Meta-Llama-3.3-70B-Instruct",
  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="Meta-Llama-3.3-70B-Instruct",
    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": "Meta-Llama-3.3-70B-Instruct", "messages": [{"role": "user", "content": "Explain quantum computing."}]}'

Provider-Specific Features

• RDU acceleration — SambaNova’s custom hardware delivers fast inference for large models.
• High throughput — Optimized for batch processing and high-volume production workloads.
• Model naming — Models use PascalCase names (e.g., Meta-Llama-3.3-70B-Instruct).