TL;DR — 6 machines, 12 GPUs, 1,000+ concurrent agents, P95 18 ms, voice <300 ms, 280,741 lines of...
TL;DR — 6 machines, 12 GPUs, 1,000+ concurrent agents, P95 18 ms, voice <300 ms, 280,741 lines of Python, 44 MIT repos. Vs Azure OpenAI: 7-month break-even on a 50K€ deployment.
Why I built this
I'm Franck. Toulouse, France. Over 3 years I paid roughly €280,000 to Azure + OpenAI before doing the math properly:
Latency: 1.2s voice round-trip — incompatible with the voice-first UX I wanted.
Compliance: customer data on US servers. Not GDPR-native, just GDPR-compliant-on-paper.
Peter Steinberger's 100 AI agents racked up $1.3 million in OpenAI tokens in 30 days building OpenClaw
Announcing the fastest inference for realtime voice AI agents
Benchmarking inference at scale: coding agents
Build real-time voice agents on Together AI
For $1.3 million a month, OpenClaw founder Peter Steinberger runs 100 AI agents that code, review PRs, and find bugs
OpenAI's New Open gpt-oss Models vs o4-mini: A Real-World Comparison
OpenClaw creator burned through $1.3 million in OpenAI API tokens in a single month — bill covered 603 billion tokens across 7.6 million requests and 100 coding agents
Announcing the Availability of OpenAI's Open Models on Together AI
Jane Street reveals AI lab's evolution from six Dell boxes to liquid-cooled GPU data center
