Open-Source Multi-Agent Platform Built on NIM — Benchmark Data & Attribution Offered in Exchange for 200 RPM

Hello NVIDIA NIM Support Team,

I am writing to request a rate limit increase for my NVIDIA NIM API free-tier account.

Account details:

  • Registered Email: [seu email da conta NVIDIA]
  • API Key ID (Last 4 chars):5KQj
  • Current Limit: 40 RPM
  • Requested Limit: 200 RPM

About our project:
We are an independent research lab developing BiroBiruleib0t — an open-source platform that introduces a new concept in multi-agent AI architecture: a fully autonomous corporate agent hierarchy, where AI agents assume organizational roles (CEO, CTO, CMO, and 27+ subordinate agents) and collaborate to execute real business workflows across multiple languages and cultures.

The theoretical foundation is the Uppsala Internationalization Theory, applied to explore how AI agent networks can reduce psychic distance and communication friction in multilingual, multicultural organizations — a concept we believe has significant implications for the future of AI-assisted work.

This is not just a personal project. We are building a new open-source platform and methodology that we intend to publish publicly, with full documentation, so that other researchers and developers worldwide can study, replicate, and build upon our architecture.

Our hardware setup:
The lab runs on dedicated local infrastructure — RTX 5060 Ti (16GB VRAM), Xeon processor, 128GB RAM, 4TB NVMe — with a fully open-source Linux stack, giving us a controlled environment for reproducible research.

Current stack:

  • 9 C-level AI agents + 27 subordinate agents
  • Local inference via Ollama (Gemma4, Qwen3, DeepSeek-R1)
  • NVIDIA NIM as primary cloud provider for frontier reasoning tasks
  • ComfyUI + OVI for multimodal content generation
  • Automated multilingual pipelines (Portuguese, English, Spanish)

Why we need 200 RPM:
Multi-agent coordination generates rapid sequential tool calls. At 40 RPM, agents consistently hit 429 errors during complex collaborative tasks, breaking experiments mid-execution. 200 RPM would allow us to run complete, uninterrupted research cycles.

What we offer in return:
As an open-source project built on NVIDIA hardware and NIM APIs, we offer:

  1. Public attribution of NVIDIA NIM as a core infrastructure partner in our platform documentation and repository
  2. Structured benchmark data on multi-agent performance across your model lineup — latency, tool-call accuracy, reasoning quality, and cross-model comparisons
  3. A real-world agentic use case that demonstrates NIM’s capabilities beyond standard chatbot applications

If NVIDIA is interested in open-source collaboration, benchmark data, or wishes to follow the development of this platform, I am fully available and can be reached directly at fuchsfx@gmail.com.

Thank you sincerely for the generous free tier and for considering this request.

Best regards,
Guilherme Fuchs
Independent AI Researcher & Developer
BiroBiruleib0t Project
Montevideo, Uruguay
Contact: fuchsfx@gmail.com

LOL, do you just post AI-generated templates without even glancing at them?