Ambarella announces GenAI SoC at CES

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Summary

The solutions high-processing AI performance suppports most of multimodal VLMs and large-language models (LLMs), while consuming 20 watts of power. The N1-655 reliably runs the Phi, Gemma, LLaVA-OneVision and Llama models, without the need for an Internet connection, on data inputs like visuals and speech in applications such as on-premise AI boxes, autonomous mobile robots (AMRs), and smart-city security video recorders. Both of the current family members process GenAI models locally to improve privacy with state-of-the-art performance per watt, significantly reducing power consumption as well as the total cost of ownership compared with Cloud-based inference processing. “The N1-655 continues Ambarella’s industry-leading levels of AI performance per watt, this time for AMRs and on-premise AI box applications that require the latest edge GenAI features while keeping power consumption under 20 watts,” commented Fermi Wang, President and CEO of Ambarella. Ambarella uses fine tuning techniques such as GLoRA, reducing the footprint size of popular GenAI models to enable their use in Edge applications.

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AI & Machine learning

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Ambarella
$250M to $500M