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About Cambricon

Cambricon (688256. SZ) is developing a brain-inspired processor chip that simulates human nerve cells and synapses to conduct deep learning. Its products include Siyuan 290, Siyuan 370 series, Siyuan 270 series, Xuansi 1000 Intelligent Accelerator, and Siyuan 220 series. The company was founded in 2016 and is based in Beijing, China.

Headquarters Location

7 Zhichun Road 11/F, Block D, Zhizhen Building, Haidian District

Beijing, Beijing,


+86 010-83030003

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Expert Collections containing Cambricon

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Cambricon is included in 4 Expert Collections, including AI 100.


AI 100

99 items


Game Changers 2018

70 items


Artificial Intelligence

10,459 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Semiconductors, Chips, and Advanced Electronics

6,282 items

Companies in this collection develop everything from microprocessors to flash memory, integrated circuits specifically for quantum computing and artificial intelligence to OLED for displays, massive production fabs to circuit design firms, and everything in between.

Cambricon Patents

Cambricon has filed 157 patents.

The 3 most popular patent topics include:

  • Artificial neural networks
  • Artificial intelligence
  • Computational neuroscience
patents chart

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Latest Cambricon News

Washington puts Chinese chipmakers on trade blacklist

Dec 16, 2022

WASHINGTON: The US Commerce Department on Thursday (Dec 15) blacklisted 36 Chinese companies including top producers of advanced computer chips, severely restricting their access to American technology.The move, which included semiconductor makers Cambricon and Yangtze Memory Technologies, aimed to limit China’s “efforts to obtain and leverage advanced technologies including artificial intelligence for its military modernisation efforts and human rights violations”, the Commerce Department said.The companies’ placement on the so-called Entity List makes it nearly impossible for them to legally acquire directly or indirectly US semiconductor manufacturing technology, designs and other intellectual property, hampering their production potential.Of the 36 names, 21 are identified as major firms involved in the research and design, marketing and sales of artificial intelligence chips with close ties to the Chinese defence sector.Seven are linked to the Chinese military's efforts to develop hypersonic and ballistic missile systems.The Entity List additions on Thursday further the Biden administration’s efforts to deny China “access to advanced technologies for military modernisation and human rights abuses,“ Assistant Secretary of Commerce Thea Rozman Kendler said in a statement.The announcement, the most recent in a series of US actions seeking to limit China’s access to sensitive US technologies, came just days after Beijing filed a dispute claim at the World Trade Organization against Washington’s restrictive policies.China commerce ministry on Monday accused the United States of “obstructing normal international trade in products including chips and threatening the stability of the global industrial supply chain”, as well as violating international trade rules and engaging in “protectionist practices.”Speaking on Tuesday, Chinese foreign ministry spokesman Wang Wenbin said the United States has “repeatedly used national security as an excuse to interfere in the normal operation of international trade.”“All countries should stand up and not let Washington’s unilateralism and protectionism go unchecked,“ Wang said. “This concerns the stability of the global trade system and more importantly, international justice.”In October more than 30 Chinese high-tech companies were placed on the US Entity List, with officials saying they did not want American technology helping the Pentagon's top rival, the Chinese military.The Commerce Department’s rules require any US firm seeking to sell its technology to a Chinese company on the list to obtain a special permit, and getting those permits is almost impossible.“With the latest rules, the US government is betting that it can so deeply undermine China’s semiconductor fabrication capabilities that it won’t matter how motivated or well-resourced China’s efforts are to create its own semiconductor industry – they simply won’t be able to catch up,“ wrote Matt Sheehan, a global technology specialist at the Carnegie endowment for International Peace. – AFP

Cambricon Frequently Asked Questions (FAQ)

  • When was Cambricon founded?

    Cambricon was founded in 2016.

  • Where is Cambricon's headquarters?

    Cambricon's headquarters is located at 7 Zhichun Road, Beijing.

  • What is Cambricon's latest funding round?

    Cambricon's latest funding round is PIPE.

  • How much did Cambricon raise?

    Cambricon raised a total of $101.4M.

  • Who are the investors of Cambricon?

    Investors of Cambricon include Robert Bosch Venture Capital, iFLYTEK, CAS Investment Management, Oriza Holdings, Lenovo Capital and Incubator Group and 17 more.

  • Who are Cambricon's competitors?

    Competitors of Cambricon include Mythic, Graphcore, Biren Technology, Enflame, Cerebras Systems, Blaize, Corerain Technologies, ChipIntelli, TensTorrent, Groq and 12 more.

Compare Cambricon to Competitors


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Groq develops the Tensor Streaming Processor. TSP houses a single enormous processor that has hundreds of functional units. The architecture reduces instruction-decoding overhead, and handles integer and floating-point data, which delivers better accuracy for inference and training.

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Graphcore provides AI systems and services that enable organizations to build, train and deploy their models in the cloud using the IPU hardware. Its products include cloud IPUs, data center IPUs, Bow IPU, and Poplar. The company serves the finance, biotech, scientific research, and consumer internet sectors. Graphcore was founded in 2016 and is based in Bristol, U.K.


Mythic develops a local AI platform, comprised of both hardware and software, that turns devices into secure intelligent assistants. It leverages local AI to enable consumer electronics, wearables, and security and monitoring manufacturers to help deliver integration and privacy. Mythic was formerly known as Isocline. The company was founded in 2012 and is based in Austin, Texas.

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Wave Computing

Wave Computing develops a high-speed machine learning solution for data center-based training and per the company delivering up to 1000x the performance for neural network training. Wave's new compute appliance leverages the company's patented dataflow architecture, which eliminates the need for a central processing unit (CPU) or graphic processing unit (GPU), removing the typical performance and scalability bottlenecks found with traditional deep learning solutions.

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KnuEdge is a neural technology company that aims to transform human-machine interaction. The Company is founded by Dan Goldin, the former NASA chief who spent the past five decades delivering aerospace and technology products way ahead of the curve. The company has separate divisions for voice biometrics and data center neural computing -- both of which are delivering industry-changing products in fast-growing, multibillion dollar markets. KnuVerse uniquely leverages the human voice in its military-grade recognition and authentication technology. It is now possible to authenticate to computers, mobile/web apps and IoT devices with only a few words spoken into a microphone, in any language, no matter how many other people are talking nearby. KNUPATH is new neural computing processing technology, and it will reset the standard for chip/system-level compute performance in data centers and IoT devices.

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