Onde Inference

Instant local inference.
Infinite cloud scale.

A native on-device runtime built on Apple Silicon that bursts seamlessly to the cloud with a single line of code.

Deploy Onde
main.rs
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 device

01 / Edge Compute

Zero latency.
Zero cost margin.

Compiled natively in Rust, Swift, or Flutter. Runs directly on Apple Silicon unified memory. 85 ms first-token latency, absolute privacy, and zero server overhead for every local workload.

  • 85msFirst-token latency
  • $0Server cost on-device
  • 100%Data stays on device

02 / Cloud Fallback

Seamless fallback.
Enterprise state.

When the local model hits its limit, Onde bursts to high-performance cloud compute. Heavy-parameter routing, global state sync, and ironclad privacy compliance — transparent to your users.

DeviceApple Silicon · on-device
Token throughputState syncAES-256
Onde Cloudcloud.ondeinference.com
OpenAI-compatibleDrop-in endpoint for any client already using the OpenAI API.
App-scoped authBearer credentials are scoped per app. No shared secrets.
Global state syncConversation context follows the user across device and cloud.

Write once.
Deploy everywhere.

One engine. Four first-class entry points. No platform story, no abstraction tax.

SwiftApple platforms · SPMRustNative · crates.ioReact NativeMobile · npmFlutterCross-platform · pub.dev

Powering Splitfire AB apps in production on the Apple App Store.

The world's intelligence.
On your terms.

Deploy Onde