The Internet is essential for performing endless tasks, and without a connection, we’re often left feeling frustrated and at a loss. But connection issues may no longer be a problem with Edge AI chips from ARM, which run without a cloud connection.
Edge AI chips are designed to accelerate machine-learning tasks on smartphones and other devices, thus enabling them to perform AI-related tasks without the Internet. Due to their processor-intensiveness, Edge AI chips have traditionally been employed only in remote data centers. Until now, the physical size of the chips and the cost to power them made the technology incompatible with smaller tech gadgets.
According to Delloite, sales of Edge AI chips are poised to grow 36% by 2024 — faster than any other upcoming disruptive technologies. This anticipated growth is factored primarily by the chips’ compatibility with small devices, which allows them to be used for much more than data centers.
Another reason for this unprecedented growth projection is the immense capability of Edge AI chips to tap into the true potential of robots, cameras, sensors, and other such Internet of Things devices. On the consumer end, they can also extend the functionalities of everyday devices like smartphones, tablets, smart home hubs, and wearable tech.
Currently, only a third of high-end smartphones have Edge AI chips in them, but that figure is expected to grow. Today, over 70% of smartphones are powered by AI technology of some kind, but most use consumer-grade chips. Over the next decade, Edge AI chips will likely power a majority of forthcoming smartphone models. Just how many smartphones Edge AI chips will power remains to be seen, as it would require partnerships with Big Tech phone makers.
Manufacturers have started dedicating space for Edge AI chips in their phones. For example, the Samsung Exynos 9820 dedicates 5% of its total chip space to AI. Similarly, the A12 Bionic from Apple dedicates 7%. For this reason, it’s safe to assume we’ll see more smartphones with Edge AI capabilities in the near future.
Aside from smartphones and other tech devices, Edge AI chips can be used for enterprise applications. Drones are one of the top enterprise uses for the chips. With AI chips, self-navigating drones can avoid obstacles in real-time without an Internet connection.
It’s important to note that the AI chips used in smartphones are different from those used in drones. Edge AI Chips present in smartphones use about 95% less power than other parts. For this reason, if a device were to use AI chips explicitly, it would result in less chip space, reduced power consumption, and cost-savings.
Someday, the chips may make their way into non-smart tech devices, which would greatly enhance their capabilities. While tech enthusiasts have high hopes for Edge AI chips, their future in the industry remains a mystery. We’re at the brink of a new era in AI technology, and there’s still much to be explored.
AI chips will open a host of computing opportunities for consumers and businesses. Whether ARM leads the way, or another entity takes over the AI chip sector, there’s certainly more to come.
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