First ASIL B certification for neural processor IP

First ASIL B certification for neural processor IP

Technology News |
By Nick Flaherty

aiMotive in Hungary has secured the first certification for a neural processing unit (NPU) IP to the ISO 26262 ASIL-B safety standard.

TÜV Nord has certified the aiWare4 IP, positioning the NPU design as a reliable solution for automotive manufacturers and Tier 1 suppliers for automotive-grade AI inference up to Level 4 as well as ADAS driver assistance chips. ASIL-B is as high as an IP block can be certified as it has to be integrated int a chip then into a module with software to achieve the highest ASIL-D certification.

In addition to the aiWare4 hardware IP certification, aiMotive has also developed the aiWare4 software to fully comply with ASIL B standards to support module compliance for OEMs and Tier 1 suppliers.

By ensuring both hardware and software compliance, aiWare simplifies the integration process and enables customers to meet the stringent safety demands of the automotive industry. The company was recently bought by Stellantis which makes the Citroën, Fiat, Jeep, Opel, Peugeot and Vauxhall brands, but the technology is also used by Sony and other automotive developers

“We are extremely proud to have achieved ASIL B certification for our aiWare4 NPU,” said Márton Fehér, SVP of Hardware at aiMotive. “This certification highlights our commitment to safety and reinforces our position as a trusted partner for automotive manufacturers in their journey towards automated driving. With aiWare4, we provide a scalable and efficient AI inference solution that meets the demanding needs of the automotive industry.”

“ASIL B compliance is an essential requirement for our customers’ automated driving systems,” – said Young Jun Yoo, Vice President of the Automotive Business Unit of Nextchip, a fabless semiconductor company using the aiWare4 IP. “Thanks to aiMotive’s pursuit of ASIL B compliance for aiWare4, customers of our Apache6 automotive SoCs can achieve full safety compliance with minimum resources and cost”.

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