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Ambiq Micro, an AI chip company specialising in ultra-low-power semiconductor solutions, officially listed on the New York Stock Exchange. The IPO issued 4 million shares at a price of $24 per share, raising a total of $96 million. On its first day of trading, Ambiq's stock price surged to $38 at the opening bell and closed at $38.53, representing a 60.54% increase from the offering price, with a market capitalisation of $656 million.

Since OpenAI launched ChatGPT in 2022, tech giants like Google and Anthropic have been investing in generative AI models, driving the migration of AI applications from the cloud to edge devices. This trend poses extreme challenges to chip power consumption: traditional data centres rely on high-energy-consuming GPU clusters, while edge scenarios like smartwatches, health monitoring devices, and industrial sensors require complex AI algorithms to run at extremely low power consumption. Ambiq has become a key player in this field thanks to its ultra-low power consumption technology.

The IPO attracted support from top global investment institutions. In addition to strategic shareholder Arm, Kleiner Perkins, Singapore's state-owned investment institution EDB Investments Pte, VentureTech Alliance, and Conductive Ventures also participated in the subscription. The funds raised will be used to accelerate the mass production of the next-generation Apollo5 series SoC and to expand into the industrial IoT markets in Southeast Asia and Europe.

Founded in 2010 and headquartered in Austin, Texas, Ambiq's core technology is the SPOT® (Sub-threshold Power Optimised Technology) platform. This platform uses sub-threshold power optimisation technology to enable transistors to operate at extremely low voltages, reducing chip power consumption to one-fifth of traditional solutions while maintaining high-performance computing capabilities. The SPOT platform features a patented design that combines hardware (such as the Apollo4 series SoC) with software (such as AI processing, sensing, and wireless connectivity algorithms) to achieve energy efficiency 2-5 times lower than traditional chips.

Its product portfolio includes the Apollo4 series SoC, which is based on TSMC's 22nm ULL process, operates at a power consumption as low as 3μA/MHz, supports Bluetooth 5.0, real-time voice processing, and complex edge AI algorithms, and has been applied in smartwatches, health monitoring devices, industrial sensors, and other fields. Additionally, the company offers end-to-end solutions, including SoC series and配套 software, covering AI processing, general-purpose computing, secure storage, and wireless connectivity, to meet diverse needs from wearable devices to factory automation.

Ambiq's products power over 270 million devices worldwide, with shipments reaching 42 million units in 2024, over 40% of which support AI algorithms. Its market coverage spans four major areas: personal devices, healthcare, industrial edge computing, and smart home.

In the smart wearable sector, devices such as smartwatches, fitness trackers, and AR/VR glasses utilise Ambiq chips to enable functions like voice recognition and image processing; In the medical monitoring sector, digital health devices (such as blood glucose monitors and heart rate monitors) rely on its low-power characteristics to achieve long battery life; in the industrial IoT sector, security systems, livestock tracking, and crop monitoring scenarios reduce reliance on the cloud through edge AI; in the smart home sector, access control systems and environmental sensors enhance energy efficiency through its technology.

Ambiq's technological barriers stem from hardware-software synergy innovation: its SPOT platform not only optimises chip design but also reduces system-level energy consumption through embedded software. For example, the Apollo4 series SoC consumes only 20% of the power of its competitors when running complex AI models. However, market competition is intensifying: chip manufacturers such as Qualcomm are launching low-power AI accelerators to target edge computing scenarios; startups like GreenWaves Technologies are challenging Ambiq's technical leadership through RISC-V architecture. To address this competition, Ambiq has adopted three key strategies: accelerating mass production of the Apollo5 series, with next-generation chips supporting more complex Transformer models to reinforce AI computing power advantages; collaborating with TSMC to establish a localised supply chain and setting up a regional technology centre in Malaysia to reduce production costs; and partnering with leading brands like Fitbit and Withings to ensure order stability.