A Load-Testing Playbook for Free AI Servers (and Why I Wrote One)

Description and use

A lightweight Python script quickly evaluates how a free AI server handles load, measuring errors, latency, and connection limits.

Problem

Free AI servers often fail under load, returning 503s or hanging after a few users, despite promising zero cost and quick setup.

Outcome

The script identifies error rates, latency, and concurrency limits, enabling informed decisions about using free AI servers.

Workflow

• 1. Save the provided Python script as loadtest.py.
• 2. Install aiohttp via pip.
• 3. Run the script with increasing concurrency and total requests (e.g., 1/10, 10/100, 50/500).
• 4. Observe output: total, OK, errors, average and max latency, first error type.
• 5. Use results to decide whether the free tier meets your needs or if you should switch to a paid plan.

Evidence

Free AI servers are dangerously easy to trust. The docs promise zero cost, the setup takes minutes, and your first curl returns a perfect 200.

Source

The idea is simple: fire a fixed number of concurrent HTTP requests at a health endpoint, record status codes and latencies, and let the results speak.

Source