| 1:30 PM EST

Einride Puts NVIDIA’s Orin Behind the Wheel

“To capture and account for the diversity in a myriad of operational scenarios, and to develop the redundancy necessary to improve functionality, we need the most advanced processors possible, and that’s where NVIDIA Orin comes in,” said Pär Degerman, CTO of Einride.
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This is the Einride Pod:

Einride pod
(Image: Einride)

It is a truck. An electric truck that has a range of 130 to 180 km per charge.

It can handle 15 to 18 pallets and a payload of 16 tonnes.

One of the things that it doesn’t have, as you’ve undoubtedly noticed, is a cab where a driver would be located.

That’s because it is an autonomous vehicle.

Einride, a Swedish tech company, has two scenarios for where its vehicles run: on back roads, which Einride designates “AET 3-Rural” (AET = Autonomous Electric Transport), and on highways (AET 4).

So what’s “driving” the Pods? The company has announced that the vehicles will be deploying the DRIVE AGX Orin computing platform from NVIDIA.

That computing platform consists of 17 billion transistors.

NVIDIA

NVIDIA Orin system on a chip being used to power Einride’s autonomous capabilities. (Image: NVIDIA)

The Orin system-on-a-chip (SoC) performs more than 200 trillion operations per second.

All that, and according to NVIDIA there is a 3x power efficiency improvement compared to its previous-generation SoC.

Danny Shapiro, senior director of automotive, NVIDIA, says, “Our Orin SoC is born out of the data center--delivering the massive compute capability necessary to enable Einride to bring to market transport solutions that can safely increase productivity and improve utilization.”

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