On your device
Run supported AI models on Quantx Go and work with documents you’ve stored locally.
Hardware concept · Register your interest
Meet Quantx Go, a portable AI computer designed to power your devices and connect them to the Quantx mesh.
Your compute. Your devices. Part of a bigger network.

Small enough to take with you.
A compact matte-black aluminum enclosure. Our seven-dot mark. A subtle periwinkle status light.
Quantx Go is designed to bring dedicated AI computing to your desk, your workspace, and wherever you go next. Your phone or computer provides the screen.
Your phone is the interface. Go provides the compute.
Connect from iPhone, Android, Mac, or Windows through planned Quantx software.
The goal is simple: access a dedicated AI computer without keeping a separate laptop open or sending every supported task to a cloud service.
Local when you need it. Connected when you can.
Run supported AI models on Quantx Go and work with documents you’ve stored locally.
Access Go from compatible phones and computers through a supported local connection.
When online, Go can contribute eligible computing capacity and access additional network resources for supported workloads.
Offline use would support installed models and downloaded content. Live web search and remote mesh access require an internet connection.
Use the network. Help power it.
Quantx Go is being designed as a dedicated participant in the mesh.
Leave it powered and connected at your desk to provide available capacity. Take it with you when you need portable local compute.
Together with supported phones, Macs, and PCs, dedicated nodes can help build a network that relies less on centralized cloud infrastructure.
Built around clear boundaries.
Personal files and shared workloads need separate protections.
Our design priorities include encrypted storage, authenticated access, signed software updates, and isolation between personal data and community workloads.
Participation conditions, resource usage, and available controls will be explained before setup.
The proposed hardware
Final specifications, dimensions, model compatibility, pricing, and availability will follow prototype testing.
A different way to build AI capacity.
Quantx Go brings dedicated computing into the mesh, alongside devices people already own.
The aim is to reduce dependence on rented cloud compute for suitable workloads and make local AI easier to access.
Performance, operating costs, and environmental impact will be evaluated through testing.