AIVory Smart Inference
Cheaper inference. One URL. No code changes.
What it does
Providers cut prices all the time — your bill pays like they don't. Smart Inference reroutes every LLM call to the cheapest provider serving the same model, in real time. Drop-in OpenAI-compatible: swap one URL, keep your SDK, prompts, and streaming. 50+ models, pay-as-you-go from $10, credits never expire, no subscription. Median ~30% savings, up to 89% on open-weight models. Or self-host — spin up spot GPUs in one click and route to them through the same endpoint.
Does the same job
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General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed
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Hi HN, We’re building https://www.switchpoint.dev – a drop-in replacement for OpenAI’s API that reduces LLM cost by smartly routing across models (e.g., Claude, Gemini, GPT-4) depending on subject and difficulty of the task. Why we built this: LLM costs are spiraling—especially for products doing retrieval, agentic reasoning, or even just high-volume chat. We were frustrated with paying GPT-4 rates when most queries didn’t need it. So we built a router that: - Starts with cheaper/free models (like Llama 8B, 4o-mini, 2.0 flash) - Streams responses and upgrades on failure - Acts…
More ai this month
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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.
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Launched alongside, June 2026
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