Embedded AI
for Increasingly Complex Consumer Devices

AI is the New Paradigm

Artificial Intelligence (AI) has become crucial in consumer products like tablets, notebooks, game consoles, smart speakers, wearables, and others. However, regardless of the use case and the application, consumer products must balance performance with power efficiency and area requirements. Edge AI inference solutions reduce or eliminate the need to send large amounts of data to the cloud for processing, improving usability, speed, data security, and privacy and guaranteeing performance.

AI in Consumer Devices - Use Cases
AI unlocks all sorts of capabilities and features. For example, video and image-based neural networks can support enhanced use cases such as biometrics, facial detection/recognition, augmented and virtual reality, image filters, enhanced photography, and countless more. In addition to image and video use cases, AI use in audio applications is also growing.

Reducing AI Power Consumption in Consumer Devices
One of the essential performance metrics for consumer devices such as handhelds and wearables is battery life. Accordingly, OEMs constantly seek methods to reduce power consumption to extend battery life. Neural Processing Units (NPUs) can consume significant power—that is, if the wrong NPU is chosen. Comparing and understanding the power efficiencies of NPUs can be complicated. Ours isn’t—Expedera’s Origin™ family averages a market-leading 18 TOPS/W. Origin has repeatedly been cited as the most power-efficient NPU available by third parties and customers alike.

Best AI for Consumer Uses
While there are many general-purpose NPUs available, a one-size-fits-all solution is rarely the most efficient, especially for cost- and power-sensitive consumer devices. General-purpose AI processors are often larger than needed and consume more power than necessary. Expedera’s Origin™ E2 and E6 IP cores are optimized for unique consumer device use cases. The Origin IP will always provide optimal PPA (power, performance, area) and can achieve superior performance with 50% or less required silicon area compared to other NPUs. By embedding Expedera Origin NPU IP into consumer SoCs and ASICs, device makers can reduce latency, increase performance, decrease DRAM requirements, and extend battery life.

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