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Ambarella (AMBA) investor relations material
Ambarella 28th Annual Needham Growth Conference Virtual summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Company transformation and AI product evolution
Transitioned from video processors for consumer applications to AI SoCs for edge and infrastructure markets over the past decade.
Developed three generations of proprietary AI accelerators, with the latest focusing on transformer-based models and supporting advanced GenAI applications.
Edge AI now accounts for approximately 80% of annual revenue, with over 40 million AI SoCs shipped and more than $1.3 billion invested in AI R&D.
ASPs for new chips range from $20 to $400, up from $15 to $75 for previous generations, with edge infrastructure products like N1-665 featuring three-digit ASPs.
AI is now embedded in all new products, with a differentiated "AI Algorithm First" approach for efficiency and scalability.
Product and technology highlights
Announced CV7 chip with 2-2.5x AI performance and lower power than previous generation, and introduced the first 4nm and 2nm AI SoCs.
Third-generation chips support models from 500 million to 100 billion parameters, with low-end chips running 2 billion-parameter models at 2W.
Demonstrated 31 new edge AI applications at CES 2026, showcasing the open Cooper Developer Platform and expanding Developer Zone.
Continued investment in advanced nodes (down to 2nm) to improve performance per watt and enable new applications.
Platform enables high programmability and flexibility, supporting a wide range of customer applications and markets.
Market opportunities and applications
Transformer-based chips open new markets in robotics, autonomous vehicles, drones, and edge infrastructure.
GenAI applications demonstrated in retail and hospitality, enabling advanced analytics and marketing data collection from existing security cameras.
IoT business diversifying, with security now less than 50% of segment revenue; growth in drones, wearables, and portable video.
Edge infrastructure products aggregate multiple endpoints, upgrading legacy devices with AI capabilities.
AI is expanding use cases in enterprise security, smart home, automotive, robotics, and edge infrastructure.
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