AMBA
Published on 06/11/2025 at 11:07
June 12, 2025
Grand Hyatt, Taipei, Taiwan
Louis Gerhardy, VP Corporate Development
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Advanced edge deep learning AI inference hardware and software
Founded on the premise that video is a unique type of data requiring an optimized SoC architecture
Santa Clara, CA
Company HQ
Detroit
Dayton
Munich
Par ma
VisLab
Sha nghai
Seo ul
Tokyo
Hsin chu
2025
>32M AI SoCs shipped
cumulatively
2021
Acquisition of
2015
Acquisition of
Ambarella's deep neural network AI inference processor integrated with a state- of-the-art video & radar perception yields highly optimized domain controller SoCs
VisLab, a pioneer in CV and autonomous driving software, acquired in 2015
Oculii, a pioneer in high-definition radar perception technology, acquired in 2021
World-class engineering team
~530 software, algorithm and image processing engineers globally
2nm in development, 5nm ~30% revenue, 10nm ~50% of revenue
>10yrs of strong VLSI execution with step "A" silicon into production
Advanced AI networks, including GenAI, are enabled with our 3rd generation
products (sampling today) and expected to be a key growth driver
Low-power and high-performance SoCs for auto and IoT markets
Scalable family allows SW to be reused across a customer's portfolio
934+
HEADCOUNT
AI revenue contribution begins
Shenzhen
2012
IPO, NASDAQ: AMBA
2004
Ambarella founded
Significant R&D investment funded by operations and strong balance sheet
>$1.2 billion cumulative R&D investment into AI
$259 million net cash; no debt; 16 consecutive years of positive free cash flow
AI R&D investment
begins
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Ambarella's Long History of Technological Innovations
Edge AI the foundation for our growth
Edge AI CNN Networks
2nd Gen CVflow® 10nm, 5nm (CV2x, CV5x)
Multi-modal AI / Transformer Networks
3rd Gen CVflow®
5nm
(CV7x, CV3-AD, N1)
Human Viewing
Video Processors
(A1, A3, A5S, S2, H1)
Automotive
(ADAS)
Automotive (Autonomy)
AMBARELLA
Founded 2004
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Higher levels of efficiency and new capabilities enabled with edge AI
Edge AI enables:
Privacy and security
Realtime processing
Reduce network bandwidth requirement
Low power consumption
Synergies between cloud and edge AI processing -AI processing throughout the network hierarchy
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Disclaimer
Ambarella Inc. published this content on June 11, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on June 11, 2025 at 15:06 UTC.