Local AI is broken. Cloud AI is expensive. So we built OneInfer Edge.

We've been quietly building something.

OneInfer Edge, open-source, coming soon. A little context on why we started this.

Running AI models locally is still harder than it should be. you're wrestling with driver configs, VRAM limits, half-working quantization guides from 6-month-old reddit threads, and a model that takes 40 seconds to respond because nobody told you the serving setup was wrong.

And then on the other side, cloud inference costs sneak up on you fast. you're routing everything to the most expensive API because the alternative is wiring up your own fallback logic from scratch. There's no clean middle ground today. no single thing that handles local, cloud, and everything in between without you stitching it together yourself.

You might be thinking, what about ollama? lm studio? great tools, we use them too. but they were built to solve one piece of the problem. OneInfer Edge is the layer above, the part that ties local, cloud, routing, and optimization together and makes it actually production-ready.

Not a replacement. the missing piece. Revealing the full feature set next week. stay tuned. - oneinfer.ai