Reliable and efficient
Your app does not stall at one million users. More devices means more distributed compute at the edge.
Run your AI workflows locally on Apple silicon devices running iOS, macOS, tvOS, visionOS, or watchOS.
use onde::inference::{ChatEngine, GgufModelConfig}; let engine = ChatEngine::new();engine.load_gguf_model( GgufModelConfig::platform_default(), Some("You are a helpful assistant.".into()), None,) .await?; let result = engine.send_message("Hello!").await?;println!("{}", result.text);// completed in 85ms — 100% on deviceBenchmark
While others wait for a handshake from a data center in Virginia, Onde is already finished.
| Inference Layer | Latency (ms) | Server Cost | Privacy |
|---|---|---|---|
| Cloud API | 1,200ms+ | $$$$ | Leaves device |
| Onde on-device | 85ms | $0 | Stays on device |
First-class citizen
Your app does not stall at one million users. More devices means more distributed compute at the edge.
Two lines to load a model. One line to run it. The SDK gets out of your way so you can ship.
Hand-tuned for Apple Neural Engine and Apple silicon. Onde speaks closer to the metal than generic wrappers.
Action speaks (c)louder
One More Thing
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