Innovative AI chips to make the world faster and more efficient
Artificial intelligence chips are a class of microprocessors designed for applications including machine learning, machine vision, and artificial neural networks. The artificial intelligence technology helps in minimizing the risks associated with human life in many industry verticals. Growth in the internet of things (IoT) sector and developments in smartphone integration is majorly driving the global market. However, lack of skilled workforce is hindering the growth of the artificial intelligence chip market. Rise in adoption in the developing economies is opportunistic for the market.
The growth of the global artificial intelligence chip market is driven by increase in demand for smart homes, development of smart cities, and emergence of quantum computing. However, development of smart cities restrains the market growth.
The global artificial intelligence chip market was valued at $4,515 million in 2017, and is projected to reach $91,185 million by 2025, growing at a CAGR of 45.4% from 2018 to 2025.
The "Global Artificial Intelligence Chip Market Analysis to 2027" is a specialized and in-depth study of the artificial intelligence chip industry with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence chip market with detailed market segmentation by type, end user, and geography. The global artificial intelligence chip market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence chip market.
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Researchers claim to design the smallest AI chip
The Taiwanese research team and a tech firm claimed that it has designed the smallest AI chip of the world, which has measurements of 7mm by 7mm. The scientists at the National Taiwan Normal University’s (NTNU) Department of Electrical Engineering collaborated with the Taiwan branch of T1 Technologies Inc. for development of the “edge AI chip.” The team also launched a system development kit (SDK), which presents a collection of software that can be utilized for the development of applications for various devices or operating systems. The chip developed by the team consists of a deep-learning convolutional network that can be utilized for various applications.
Apple’s innovative and faster AI chip
The leading tech giant Apple has announced its new AI chip A12 Bionic. A 7nm smartphone chip has nearly 6.9 billion transistors and a neural engine along with a graphics processing unit (GPU), which is 50 percent faster than its A11 chip. It has the capability to perform nearly 5 trillion operations per second. Its system on a chip (SoC) functionality will enable the tech giant to become one of the leading companies in AI chip market across the globe. Its previous versions A11 Bionic and A10 Fusion boasted GPU and neural engine to empower AI accelerators. As the market for smartphones has been evolving rapidly, manufacturers have been developing chips that can offer optimum capabilities.
AI chip to improve the network performance
The data center of Huawei has begun an AI chip to improve the network performance. The Chinese firm has announced its product at its spring 2019 event. This product comes into implementation as the firm faces political pressure and bans in the U.S. and European regions. Kevin Hu, President of Huawei Network Product Line, outlined that its CloudEngine 16800 contains three features crucial to the “data center switches in the AI era.” Along with the embedded chip, there is 48-port 400GE line card per slot. Moreover, it has the ability to evolve with an intent-based network.
Moreover, the computing power limitations can be tackled, the AI computing power can be enhanced from 50 percent to 100 percent, and the data storage Input/Output Operations Per Second (IOPS) can be improved by 30 percent. The AI chip also improves the level of intelligence of devices that are deployed at the network edge along with offering the switch an ability to carry out local inference and real-time decision making. Moreover, it offers analyzer to determine faults in few seconds and locates the faults in few minutes.
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