AI Edge Chip - Recent Innovations Have Set the Industry on Fire

In the past few years, a wide array of advanced chips and hardware, based on artificial intelligence and machine learning, have been developed to deal with complex network processes. Unlike general purpose CPUs, AI edge chips are super-fast and efficient for training & inference of AI algorithms.

AI edge chip consist of AI specialized graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). On top of that, AI edge chip has AI optimized design features that fasten the calculations required by AI algorithms. It includes tiny transistors which can run faster and consume lesser energy than larger transistors.

In addition, AI edge chip includes natural language processing (NLP) which is capable to interrogate the data with natural language text or voice. With deep learning, AI has proven to work better than humans. Companies such as Google, Tesla, and others that use artificial intelligence chip chip such as Horizon Robotics and AIMotive, bring proper knowledge of the computational complexities of deep learning.

A company named Nvidia is currently holding the crown in the global AI chip market. In order to stay competitive in the market, the key market players are focusing on innovating and launching new products. For instance, a company named Syntiant is going to launch NDP120 Neural Decision Processor which is expected to bring low power edge devices to the next level. At the same time, another company named Atlazo announced the launch of its first generation system-on-chip, AZ-N1. This chip includes highly power efficient AI and machine learning processor i.e. the Axon I. Likewise, Mythic developed a M1076 Analog Matrix Processor, Mythic AMP. It can accomplish up to twenty-five trillion operations per second of AI compute performance. Last but not the least, Ambarella expanded its AI vision system-on-chip portfolio with the new chip families for 4K security cameras named CV5S & CV52S.

According to a report published by Allied Market Research, the artificial intelligence chip market size is projected to reach $8.02 billion with a significant CAGR from 2021 to 2030. The Asia-Pacific region is expected to manifest the fastest growth rate during the forecasted period, owing to presence of key market players in this region. Several economies, especially the U.S., have witnessed a considerable growth in tech AI start-ups in the recent years.

However, the outbreak of the COVID-19 pandemic led to hamper the growth of the AI edge market to some extent, especially in the initial period. The implementation of global lockdown resulted to temporary closure of chip manufacturing facilities. Also, disruptions in the supply chain caused several difficulties in supplying the raw materials. Lack of skilled workforce, on the other hand, was a major challenge.

Nevertheless, the artificial intelligence chip market is recovering on a steady pace, as emergence of autonomous robotics is creating enormous opportunities for the AI chip industry players. Here, it is worth mentioning that with such continuous innovations of AI edge chips, the global artificial intelligence chip market is definitely going to gather immense growth prospects in the upcoming years.

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