Run AI models
on device.

Ship your AI models to millions of Apple devices. Fast inference, private by default.

Terminal — zsh
~ %
thinking
Finalized locally on Mac.
model: llama-3.1-8Blatency: 120 msnetwork: offline
Show me weekly summary
Finalized locally on iPhone.
gemma-3-1b-it · 120 ms · offline

On-device layer for AI model makers and products.

Ship your AI models to millions of Apple devices. Fast inference, private by default.

Terminal — zsh
~ %
thinking
Finalized locally on Mac.
model: llama-3.1-8Blatency: 120 msnetwork: offline
Show me weekly summary
Finalized locally on iPhone.
gemma-3-1b-it · 120 ms · offline

Backed by leading AI investors and builders

Backed by leading AI investors and builders

Backed by leading AI investors and builders

EXTEND YOUR EXISTING CLOUD PIPELINES ON DEVICE.

On-device layer for AI model makers and products.

Keep your

Models

Training

Reasoning

Evaluation

Add

A reliable execution layer on device

Apple devices can now execute meaningful AI workloads locally.

On-device layer for AI model makers and products.

Inference is no longer just deployment, it’s a system layer.

Why teams move inference on-device

On-device layer for AI model makers and products.

AI keeps working with no network connection