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Edge AI
Unprecedented energy-efficient SoCs
enable on-device AI on billions of devices
Unprecedented energy-efficient SoCs
enable on-device AI on billions of devices
The Apollo510, provides 30x more energy efficiency than previous generations, built to handle advanced AI such as speech, vision, health, and industrial AI models. Winner of the Embedded Award for Best Hardware at Embedded World 2024.
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Ambiq founded
1st Real Time Clock (RTC) product launched
1 millionth RTC chip sold
1st SPOT microcontroller (MCU) launched at 10X lower power than competition
1 millionth MCU chip sold
2nd generation Apollo MCU launched; Neural networks deployed on SPOT-enabled products
3rd generation Apollo System-on-Chip (SoC) launched
100 millionth product sold; 4th generation Apollo SoC launched and sampled
IoT Semiconductor Company of the Year
Apollo4 Plus/Blue Plus being adopted by the top 5 wearable manufacturers in the world
IoT Semiconductor Company of the Year, and AI Excellence Award, for the 2nd time, TSMC Award, AI Excellence Award, Entrepreneur 100 Award for Fumihide Esaka
IoT Semiconductor Company of the Year for the 3rd time
, Embedded World Best in Show by Embedded Computing Design under the Microcontrollers, Microprocessors, & IP category, Embedded Award for Best Hardware Category for the Apollo510 MCU
We are a pioneer of ultra-low-power semiconductor solutions based on the proprietary and patented Subthreshold Power Optimized Technology (SPOT®) platform.
Browse our Design Resources which includes product briefs, datasheets, selector guides, family brochures, white papers, quick start guides, and more to help you learn more about products
From L to R: Joshua Zarraga, Matthew Chong, SenthilKumar Jayapal, and Eddy Hartono Halim accept the 2024 Distinguished Golden Bull Award on behalf of...
Did you know you could start the building process with just a voice command? Imagine launching a construction project by telling an app,...
The latest Ambiq Apollo5 series has revolutionized Edge AI capabilities for low-power devices, particularly in AI peripherals with limited battery...
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