Highlights:

Qualcomm Technologies and Google Cloud are collaborating on Neural Architecture Search (NAS), enabling the companies to create and optimize AI models automatically rather than manually.

First available on Snapdragon® 8, Gen 1 Mobile Platform and then available across Qualcomm Technologies’ portfolio.

Qualcomm Technologies is the first SoC customer to offer Google Cloud Vertex AI NAS.

Google Cloud Vertex AI NAS will accelerate neural network development for Qualcomm Technologies’ mobile, IoT, XR, ACPC, and automotive platforms.

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Qualcomm Technologies, Inc. and Google Cloud announced their collaboration to accelerate neural network development and differentiation for Snapdragon® mobile, ACPC, and XR platforms, Snapdragon Ride™ Platform, and Qualcomm Technologies’ IoT platforms by utilizing Google Cloud Vertex AI Neural Architecture Search (NAS) with the Qualcomm® Artificial Intelligence (AI) Engine.

“The ability to utilize Google’s NAS technology to create and optimize new AI models in a condensed timeframe is a game changer for our business,” said Ziad Asghar, vice president, product management, Qualcomm Technologies, Inc. “We are happy to be the first chipset company to work with Google Cloud on NAS and eager to roll out this technology to further our momentum in connecting the intelligent edge.”

“Google Cloud’s Vertex AI NAS will give Qualcomm Technologies the ability to bring high accuracy AI with low latency to low-power devices such as IoT, medical imagery, automobile and mobile devices, whilst ensuring memory and energy efficiency," said June Yang, vice president, Cloud AI and Industry Solutions, Google Cloud. “With this collaboration Qualcomm Technologies will now be able to build and optimize new AI models in weeks rather than months and we’re thrilled at the impact this will have on people using Snapdragon-powered devices.”

Google Cloud Vertex AI NAS will be integrated into the Qualcomm® Neural Processing SDK for developer access. Qualcomm Technologies’ platforms utilizing the Qualcomm AI Engine can reap optimizations and performance increases.