AI Badgr
Run AI apps with reliable APIs and GPU compute
What it does
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.
AI Badgr is a platform for running AI workloads at scale, from API requests and agents to GPU jobs and model serving, with reliability and cost controls built in.
From API requests and agents to GPU jobs and model serving, Badgr gives you reliability and cost controls built in. AI, jobs and serving all share the same cost controls, logs and receipts. Send a request to AI models through one API with fallback, usage tracking and cost controls. Run agents, scripts, training, simulations or many jobs at once. Start a model, give it an address and keep it available for as long as you need. Submit the work — Badgr handles the operational layer so you don't have to. Badgr confirms the GPU can run your work before starting anything. Set a spend cap before launch and everything stops automatically at the limit. Work stops when it finishes or hits your limit,…from aibadgr.com
Does a similar job
all alternatives →
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed

- OGOff Grid – Run AI text, image gen, vision offline on your phoneFeb 2026 · github.com · ▲124
Your phone has a GPU more powerful than most 2018 laptops. Right now it sits idle while you pay monthly subscriptions to run AI on someone else's server, sending your conversations, your photos, your voice to companies whose privacy policy you've never read. Off Grid is an open-source app that puts that hardware to work. Text generation, image generation, vision AI, voice transcription — all running on your phone, all offline, nothing ever uploaded. That means you can use AI on a flight with no wifi. In a country with internet censorship. In a hospital where cloud services are a compliance…



More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 19d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 20d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com


Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com