AI Badgr is infrastructure for production AI apps. Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models with retries, fallback routing, request tracking, and receipts. For GPU workloads, use Badgr to serve open-source models or run GPU jobs from the command line. One account, one API key, one receipt trail across AI requests and GPU execution.
Hey Product Hunt, I’m Michael, founder of AI Badgr.
I built AI Badgr because production AI apps need more than model access. They need reliability, fallback routing, request tracking, and GPU execution when teams want to run their own workloads.
AI Badgr has two core paths:
1. Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models, with retries, fallbacks, and per-request receipts.
2. Run GPU workloads with Badgr: serve open-source models as OpenAI-compatible endpoints or run GPU jobs from the command line.
The goal is simple: give developers one execution layer for production AI apps, whether they’re calling hosted models or running GPU workloads directly.
Would love feedback from builders running AI in production.
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