1 Hisilicon Sement310 (Huawei's first full-stack, full-scenario artificial intelligence chip), Sement910 (the most powerful AI processor)
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2 Mediatek Tiangu9000SOC, Tiangu7000
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4 Horizon full scene vehicle intelligent central computing chip journey 5
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5 Zhongxing Microelectronics a new generation of artificial intelligence machine vision chip \"Starlight Moore 1\"
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6 Pingtou AI reasoning chip \"containing light 800\
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7 Four-dimensional diagram new generation of automotive level high performance intelligent cabin chip AC8015
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8 Kunlun core second generation Kunlun chip
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9 Beijing Junzheng multi-core heterogeneous crossover processor - X2000, 2K HEVC Visual iot MCU - C100
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10-core original microelectronics Vivante? Neural network processor IP
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11 Ruixin Microelectronics CPU GPU NPU hardware structure design of RK3399 Pro
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12 Yitu Cloud vision AI chip quest QuestCore?
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13 SPica second generation artificial intelligence SOC chip TH2608
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14 Allchi Technology launched VR9 special chip and XR series MCU WiFi products for VR all-in-one computer applications
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15 Black Sesame intelligent second vehicle level intelligent driving perception chip Huashan No. 2 A1000 pro
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16 Suihara Technology's second generation artificial intelligence training product \"Deep Thought 2.0\" chip
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17 Days Smart Core Cloud 7nmGPGPU product card \"Tiangai100\"
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18 Hangzhou GX8002 ultra-low power AI voice chip, GX8010 Internet of Things artificial intelligence chip
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19 Nishii Technology AI chip DeepWell
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20 GKMICRO DVB\/IP fusion 4K Ultra HD chip GK6323V100B
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21 Kanon Yunzhi integrated machine vision and machine hearing capabilities of system-level chip Kanzhi K210, high-end edge side application market reasoning chip Kanzhi K510
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22 Jingjiawei Graphics Processor chip (GPU) -JM7201, JM9 series graphics processing chips (completed the preliminary test)
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23 Yuntian Lifei autonomous controllable neural network processor chip Yuntian primary core TMDeepEye1000
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24 Fullhan Microelectronics light smart camera chip FH8652\/FH8656\/FH8658 series products
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25 Huaxia Core high-performance SoC GP8300, low power heterogeneous multi-core SoC GP3600
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26 Zhaoyi Innovation GD32L233 series new low power MCU
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27 BYD Semiconductor 90nm high-end IGBT chip
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28 Optica mobile intelligent terminal chip ASR8751C, multi-module data communication chip 1802 series
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29 AX630A SoC chip with high computing power, high image quality and high energy efficiency ratio
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30 Lingxi science and technology brain chip KA200
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31 Qiying Telen artificial intelligence voice chip CI100X series
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32 PHOENIX1 series chips with 28nm process from Anlu Technology
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33 Qingmicro intelligent multi-mode intelligent computing chip TX510, Bluetooth main control chip TX231 integrated with independent NPU
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34 Yizhi Electronics microcore ManyCore architecture chip technology
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35 Kun cloud technology data stream AI chip CAISA
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36 Bitmain third generation artificial intelligence chip BM1684
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37 Dahua HDCVI6.0 4K Real-Time AD Chip (2019)
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38 Zero boundary gauge level 32-bit MCU
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39 Deep thinking of artificial intelligence medical imaging dedicated AI chip M-DPU
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40 Heterogeneous Intelligence AI inference chip NovuTensor designed for convolutional neural networks
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41 Ultra high performance image processing solution ThunderImage
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42 Xinbo Electronics Ultra-low power SVAC2.0 Smart chip (2019)
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43 Renren Intelligence Integrated artificial intelligence operating system FaceOS \"smart core\"
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44 Go out and ask AI voice chip module \"Ask core\"
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45 Xinchi Technology V9 chip -ADAS and autonomous driving
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46 Zhaoguan Electronics low-power high-performance SoC chip NE-D163A
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47 Knowledge storage technology integrated SoC chip WTM2101
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48 The second generation of the Sonic Whirlwind series, including VOI311(lightweight version), VOI621(upgraded version) and VOI721(enhanced version) three chips
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49 Amba Semiconductor AI Vision Processor CVflow? Series latest chip CV5
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50 Deep Thought Core chip Abucus Vi-SS6500F, the second generation Abucus Vi-SS6800S
Here are some of the more well-known neural network chips on the market today:
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1. NVIDIA Tesla V100: NVIDIA's flagship GPU, designed for deep learning with high performance and low power consumption.
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2. Google TPU: Google's Tensor Processing Unit is an ASIC chip optimized for TensorFlow to accelerate deep learning reasoning.
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4. Qualcomm AI Engine: Qualcomm's AI Engine is a chip that integrates a CPU, GPU, and DSP to accelerate deep learning applications.
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5. IBM TrueNorth: IBM's neuron chip, which uses a neuronal structure similar to the human brain to simulate neural networks.
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6. Huawei Ascend: Huawei's AI chip, with high performance and low power consumption, is suitable for training and reasoning.
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7. AMD Radeon Instinct: AMD's GPU, designed for deep learning, has high performance and low power consumption.
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These chips have different characteristics and advantages, and the specific selection needs to be evaluated according to application scenarios and needs.