How to Deploy Production-Ready AI Infrastructure in 10 Minutes with Chutes

Building and scaling AI infrastructure used to be hard. It involved managing servers, juggling APIs, and worrying about deployment costs. Chutes changes that.

In less than 10 minutes, you can integrate powerful AI models into your app using a fully OpenAI-compatible API.

Here’s how it works:

Step 1: Get API Access (2 minutes)

1. Visit chutes.ai
2. Sign up using your email or Google account
3. Navigate to your dashboard
4. Generate an API key and copy it

That’s your infrastructure setup — done. No servers, no configs.

Step 2: Install the OpenAI SDK (1 minute)

Chutes is OpenAI-compatible, so you can use the same SDKs you already know.

npm install openai  # For Node.js
# or
pip install openai  # For Python

If you’ve ever worked with OpenAI, this step will feel instantly familiar.

Step 3: Write Your Integration (5 minutes)

You can now run powerful models like DeepSeek-R1-Distill-Llama-70B directly from your code.

from openai import OpenAI

client = OpenAI(
    base_url="https://llm.chutes.ai/v1",
    api_key="your-chutes-api-key"
)

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
    messages=[{
        "role": "user",
        "content": "Explain quantum computing"
    }]
)

print(response.choices[0].message.content)

Boom. You’ve just executed a production-grade inference call with no extra setup required.

Step 4: Optimize for Your Use Case (2 minutes)

Chutes gives you access to 60+ models, so you can choose the right one for each task.

• Simple tasks:
  model="deepseek-ai/DeepSeek-R1-0528-Qwen3-8B"
  💰 $0.03 / $0.11 per 1M tokens
• Complex reasoning:
  model="deepseek-ai/DeepSeek-R1-0528"
  💰 $0.40 / $1.75 per 1M tokens

Switching models is as simple as changing a string.

For everyday users, Chutes have Chutes Chat for LLM purposes (just like Chat GPT). Learn how to use it here.

Pro Tips for Production

To get the most out of your setup, follow these best practices:

• Store your API keys in environment variables
• Add error handling and retry logic
• Set request timeouts for stability
• Log model performance and latency
• Route tasks to optimal models dynamically
• Monitor usage directly from your Chutes dashboard

Why Developers Love Chutes

With Chutes, you can deploy production AI infrastructure in minutes, not weeks.

✅ No servers to manage
✅ Auto-scaling built-in
✅ 60+ models available
✅ OpenAI-compatible API
✅ Pay-per-use pricing

Explore the full documentation here: chutes.ai/docs

TL;DR

If you’ve used OpenAI before, Chutes feels instantly familiar — but cheaper, faster, and more flexible. Whether you’re building chatbots, agents, or reasoning systems, you can go from zero to live AI in under 10 minutes.