Domestic FPGA Research Framework and Its Role in AI and Emerging Technologies
The article outlines the classification of AI chips—including CPU, GPU, FPGA, and ASIC—explains FPGA's semi‑custom nature, its advantages over fully custom ASICs, and highlights its key applications in AI, autonomous driving, 5G communications, industrial IoT, and data centers.
AI chips are primarily divided into CPU, GPU, FPGA, and ASIC, with generality decreasing and computational efficiency increasing in that order. FPGA, as a semi‑custom circuit in the ASIC domain, addresses the shortcomings of fully custom circuits while overcoming the limited gate count of earlier programmable devices.
FPGA is mainly applied in five areas: artificial intelligence, autonomous driving, 5G communications, industrial Internet of Things, and data centers. Its reconfigurable and customizable nature offers lower cost than fully custom ASICs while providing greater parallelism than general‑purpose products.
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