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Chips for edge computing

The datacenter is too far away.

We design low-power chips that run AI models on the device itself, so a camera, a kiosk or a car can make decisions without sending data to the cloud first.

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The chip

What's inside

The processor, the memory and the sensor connections all sit on the same chip. Data doesn't have to travel far, and that matters, because moving data is where most of the power in AI hardware goes.

Neural cores Memory Sensor inputs Control
Simplified layout, not to scale.
A

Neural cores

Built for the kinds of models people actually run on devices: spotting objects in a video feed, understanding speech, and small language models.

B

Memory on the chip

The model lives right next to the cores that use it. Fetching data from somewhere else costs more power than the math itself, so we avoid it.

C

Sensor inputs

Cameras and microphones plug straight into the chip, so a frame from a camera gets processed without passing through a separate main processor.

D

Software

Bring a model you've already trained. Our tools convert it to run on the chip and tell you early on if something won't fit.

Have a model you want to run on a device? Let's talk.

Book a call

or email tanzim@ostolabs.com