There is a broad array of new types of processors springing up that are able to accelerate almost any neural network workload. These new processors are being designed in many cases to offer specific AI-based benefits. These benefits range from vertical market application, to power requirements, to price points. What’s also interesting is that these new processors aren’t being brought to market only from the well known processor giants, but from new startups that are getting into the game as well. The article that follows does an excellent job of telling the story of how and why AI is changing the microprocessor industry as we know it.
Artificial intelligence is making its way across many industry segments, including consumer electronics, industrial, health care, and automotive. Now layer the internet of things on top of requirements for these industries, and designers have a big challenge on their hands. The good news is that chipmakers are making some big strides in innovation — new architectures and new techniques to deliver faster processing and lower power consumption.
The global market for memory and processing semiconductors used in AI applications is forecast to reach $128.9 billion in 2025, up from $42.8 billion in 2019, according to market research firm Omdia. The processor segment will grow faster, from $22.2 billion in 2019 to $68.5 billion in 2025, according to the firm.
“AI is already propelling massive demand growth for microchips,” said Luca De Ambroggi, senior research director for AI at Omdia. “However, the technology is also changing the shape of the chip market, redefining traditional processor architectures and memory interfaces to suit new performance demands.”
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