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XPeng x Banma: 30B-class on-device cockpit AI on the 750-TOPS Turing chip

At the 2026 Yunqi Conference, XPeng and Banma (Alibaba/SAIC-backed) unveiled an automotive-grade cockpit solution running Banma's AutoOmni multimodal model — including the new AutoOmni 2.0-23B-A3B MoE — fully on-device on XPeng's 750-TOPS Turing AI chip.

new launchmodels · on-deviceJEV traction 0.59added 2026-10-05
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Why it matters

A demonstrated 30B-class model running stably offline inside a car — multi-turn dialogue, multimodal perception and offline knowledge Q&A without cloud — pushing on-device cockpit models an order of magnitude beyond the usual 4B-7B range.

What you could build with it

A fleet-management startup could use the same on-device-first pattern for delivery trucks: run a mid-size multimodal model locally for driver assistance, voice dispatch and offline route Q&A in connectivity dead zones, syncing only weather and news from the cloud.

Does it hold up?

Too early to judge: evidence is a trade-show demonstration and vendor claims; no production vehicle, latency numbers, or independent in-car tests have been published.

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