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<tr>
<th><a href="#IP_Vendors">IP Vendors</a></th><td><a href="#ARM">ARM</a>, <a href="#Synopsys">Synopsys</a>, <a href="#Imagination">Imagination</a>, <a href="#CEVA">CEVA</a>, <a href="#Cadence">Cadence</a>, <a href="#VeriSilicon">VeriSilicon</a></td>
</tr>
<tr>
<th><a href="#Startups_in_China">Startups in China</a></th>
<td><a href="#Cambricon">Cambricon</a>, <a href="#Horizon_Robotics">Horizon Robotics</a>, <a href="#Bitmain">Bitmain</a>, <a href="#Chipintelli">Chipintelli</a>, <a href="#Thinkforce">Thinkforce</a>, <a href="#Unisound">Unisound</a>, <a href="#AISpeech">AISpeech</a>, <a href="#Rokid">Rokid</a>, <a href="#Nextvpu">NextVPU</a>, <a href="#Canaan">Canaan</a>, <a href="#Enflame">Enflame</a>, <a href="#Eesay">Eesay Tech</a>, <a href="#WITINMEM">WITINMEM</a>, <a href="#Tsingmicro">TSING MICRO</a>, <a href="#Blacksesame">Black Sesame</a>, <a href="#Corerain">Corerain</a></td>
</tr>
<tr>
<th><a href="#Startups_Worldwide">Startups Worldwide</a></th>
<th><a href="#Startups_Worldwide">Startups</a></th>
<td><a href="#Cerebras">Cerebras</a>, <a href="#Graphcore">Graphcore</a>, <a href="#PEZY">PEZY</a>, <a href="#Tenstorrent">Tenstorrent</a>, <a href="#Blaize">Blaize</a>, <a href="#Koniku">Koniku</a>, <a href="#Adapteva">Adapteva</a>, <a href="#Knowm">Knowm</a>, <a href="#Mythic">Mythic</a>, <a href="#Kalray">Kalray</a>, <a href="#Brainchip">BrainChip</a>, <a href="#Aimotive">AImotive</a>, <a href="#Leepmind">Leepmind</a>, <a href="#Krtkl">Krtkl</a>, <a href="#NovuMind">NovuMind</a>, <a href="#REM">REM</a>, <a href="#TERADEEP">TERADEEP</a>, <a href="#Deepvision">Deep Vision</a>, <a href="#Groq">Groq</a>, <a href="#Kneron">Kneron</a>, <a href="#Esperanto">Esperanto Technologies</a>, <a href="#GTI">Gyrfalcon Technology</a>, <a href="#SambaNova">SambaNova Systems</a>, <a href="#GreenWaves">GreenWaves Technology</a>, <a href="#Lightelligence">Lightelligence</a>, <a href="#Lightmatter">Lightmatter</a>, <a href="#ThinkSilicon">ThinkSilicon</a>, <a href="#Innogrit">Innogrit</a>, <a href="#Kortiq">Kortiq</a>, <a href="#Hailo">Hailo</a>,<a href="#Tachyum">Tachyum</a>,<a href="#Alphaics">AlphaICs</a>,<a href="#Syntiant">Syntiant</a>, <a href="#aiCTX">aiCTX</a>, <a href="#Flexlogix">Flex Logix</a>, <a href="#PFN">Preferred Network</a>, <a href="#Cornami">Cornami</a>, <a href="#Anaflash">Anaflash</a>, <a href="#Optalysys">Optaylsys</a>, <a href="#etacompute">Eta Compute</a>, <a href="#Achronix">Achronix</a>, <a href="#Areanna">Areanna AI</a>, <a href="#Neuroblade">Neuroblade</a>, <a href="#Luminous">Luminous Computing</a>, <a href="#Efinix">Efinix</a>, <a href="#AIstorm">AISTORM</a>, <a href="#SiMa">SiMa.ai</a>,<a href="#Untether">Untether AI</a>, <a href="#GrAI">GrAI Matter Lab</a>, <a href="#Rain">Rain Neuromorphics</a>, <a href="#ABR">Applied Brain Research</a>, <a href="#Xmos">XMOS</a>, <a href="#DinoplusAI">DinoPlusAI</a>, <a href="#Furiosa">Furiosa AI</a>, <a href="#Perceive">Perceive</a>, <a href="#SimpleMachines">SimpleMachines</a>, <a href="#Neureality">Neureality</a>, <a href="#AnalogInference">Analog Inference</a>, <a href="#Quadric">Quadric</a>, <a href="#EdgeQ">EdgeQ</a>, <a href="#Innatera">Innatera Nanosystems</a>, <a href="#Ceremorphic">Ceremorphic</a>, <a href="#Aspinity">Aspinity</a>, <a href="#Teramem">TeraMem</a></td>
</tr>
</table>
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<div align="center"><h3> </h3></div>

<div align="center"><h2><a name="Startups_in_China"></a>IV. Startups in China</h2></div>

<p><HR></p>

<div align="center"><h3> </h3></div>

<p><a name="Cambricon"></a></p>

<div align="center"><a href="http://www.cambricon.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Cambricon_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p><strong><a href="https://www.chinamoneynetwork.com/2018/05/04/chinese-ai-chip-maker-cambricon-unveils-new-cloud-based-smart-chip">Chinese AI Chip Maker Cambricon Unveils New Cloud-Based Smart Chip</a></strong></p>

<blockquote>
<p>Chinese artificial intelligence chip maker Cambricon Technologies Corp Ltd has unveiled two new products, a cloud-based smart chip Cambricon MLU100 and a new version of its AI processor IP product Cambricon 1M, at a launching event in Shanghai on May 3rd.</p>
</blockquote>

<p><strong><a href="http://www.cambricon.com/index.php?c=page&amp;id=20">Cambricon release new product page, including IP, Chip and Software tools</a></strong>
<br> </p>

<p><a href="https://syncedreview.com/2017/11/06/ai-chip-explosion-cambricons-billion-device-ambition/">AI Chip Explosion: Cambricon’s Billion-Device Ambition</a></p>

<blockquote>
<p>On November 6 in Beijing, China’s rising semiconductor company Cambricon released the Cambrian-1H8 for low power consumption computer vision application, the higher-end Cambrian-1H16 for more general purpose application, the Cambrian-1M for autonomous driving applications with yet-to-be-disclosed release date, and an AI system software named Cambrian NeuWare.</p>
</blockquote>

<div align="center"><h3> </h3></div>

<p><a name="Horizon_Robotics"></a></p>

<div align="center"><a href="http://www.horizon.ai/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Horizon_Robotics_logo.png" height="50"></a></div>

<div align="center"><h3> </h3></div>

<p><a href="https://www.reuters.com/article/us-china-tech-semiconductors/chinese-ai-chip-maker-horizon-robotics-raises-600-million-from-sk-hynix-others-idUSKCN1QG0HW">Chinese AI chip maker Horizon Robotics raises $600 million from SK Hynix, others</a></p>

<blockquote>
<p>Chinese chip maker Horizon Robotics said on Wednesday it had raised $600 million in its latest funding round, bringing its valuation to $3 billion, amid a push from Chinese companies and the government to boost the semiconductor industry.</p>
</blockquote>

<p>Dec. 20, <a href="http://www.horizon.ai/">Horizon Robotics</a> annouced two chip products, "Journey" for ADAS and "Sunrise" for Smart Cameras.</p>

<!-- <div align="center"><h3> </h3></div><a name="Deephi"></a><div align="center"><a href="http://www.deephi.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Deephi_logo.png" height="60"></a></div>
<div align="center"><h3> </h3></div>[DeePhi Tech](http://www.deephi.com/) has the cutting-edge technologies in deep compression, compiling toolchain, deep learning processing unit (DPU) design, FPGA development, and system-level optimization. DeePhi has the [Deep Neural Network Development Kit, DNNDK](http://deephi.com/dnndk), which is a deep learning software development kit aimed at simplifying and accelerating deep learning applications.
This nextplatform arcicle ["FPGA Startup Gathers Funding Force for Merged Hyperscale Inference"](https://www.nextplatform.com/2017/05/22/fpga-startup-gathers-funding-force-merged-hyperscale-inference/) gave more information of the company.
[AI startup DeePhi raises $40m in financing from Ant Financial, Samsung](http://www.chinadaily.com.cn/business/tech/2017-10/25/content_33685368.htm)
> Domestic artificial intelligent startup DeePhi Tech announced on Tuesday at a products launch that it has completed a Series A+ of financing for about $40 million.
> This round of financing was led by Alibaba's financial affiliate Ant Financial Services Group and Samsung, with China Merchants Venture and China Growth Capital participating as fellow investors.
-->

<div align="center"><h3> </h3></div>

<p><a name="Bitmain"></a></p>

<div align="center"><a href="https://www.bitmain.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Bitmain_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p>Bitcoin Mining Giant <a href="https://www.bitmain.com/">Bitmain</a> is developing processors for both training and inference tasks. </p>

<blockquote>
<p><a href="https://qz.com/1053799/chinas-bitmain-dominates-bitcoin-mining-now-it-wants-to-cash-in-on-artificial-intelligence/">Bitmain’s newest product, the Sophon, may or may not take over deep learning</a>. But by giving it such a name Zhan and his Bitmain co-founder, Jihan Wu, have signaled to the world their intentions. The Sophon unit will include Bitmain’s first piece of bespoke silicon for a revolutionary AI technology. If things go to plan, thousands of Bitmain Sophon units soon could be training neural networks in vast data centers around the world. </p>
</blockquote>

<p><a href="https://www.sophon.ai/">On Nov.8, Bitmain announced its Sophon BM1869 Tensor Computing Processor, Deep Learning Accelerating Card SC1 and IVS server SS1.</a></p>

<div align="center"><h3> </h3></div>

<p><a name="Chipintelli"></a></p>

<div align="center"><a href="http://www.chipintelli.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Chipintelli_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p><a href="http://www.chipintelli.com/?_l=en">Chipintelli's</a> first IC, <a href="http://www.chipintelli.com/CI1006?_l=en">CI1006</a>, is designed for automatic speech recognition application. </p>

<div align="center"><h3> </h3></div>

<p><a name="Thinkforce"></a></p>

<div align="center"><a href="http://www.think-force.com/index_e.html"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Thinkforce_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p><a href="https://www.chinamoneynetwork.com/2017/12/15/sequoia-hillhouse-yitu-technology-join-68m-series-round-chinese-ai-chip-maker-thinkforce">Sequoia, Hillhouse, Yitu Technology Join $68M Series A Round In Chinese AI Chip Maker ThinkForce</a></p>

<div align="center"><h3> </h3></div>

<p><a name="Unisound"></a></p>

<div align="center"><a href="https://www.unisound.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Unisound_logo.png" height="100"></a></div>

<p><a href="http://www.ejinsight.com/20180516-unisound-raises-us100-to-fund-ai-chip-development/">Unisound raises US$100 million to fund AI, chip development</a></p>

<div align="center"><h3> </h3></div>

<p><a name="AISpeech"></a></p>

<div align="center"><a href="http://www.aispeech.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/AISpeech_logo.png" height="100"></a></div>

<p><a href="https://medium.com/syncedreview/chinas-aispeech-raises-76m-on-advanced-speech-tech-eyes-ai-chips-2c7651ac6a8">China’s AISpeech Raises $76M on Advanced Speech Tech; Eyes AI Chips</a></p>

<div align="center"><h3> </h3></div>

<p><a name="Rokid"></a></p>

<div align="center"><a href="https://www.rokid.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Rokid_logo.png" height="30"></a></div>

<div align="center"><h3> </h3></div>

<p><a href="https://technode.com/2018/06/05/rokid/">Chinese AI startup Rokid will mass produce their own custom AI chip for voice recognition</a></p>

<div align="center"><h3> </h3></div>

<p><a name="Nextvpu"></a></p>

<div align="center"><a href="http://www.nextvpu.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Nextvpu_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<blockquote>
<p>The world leading computer vision processing IC and system company, NextVPU, today unveiled AI vision processing IC N171. N171 is the flagship IC of NextVPU’s N1 series computer vison chips. As a VPU, N171 pushes the Edge AI computing limit further from many aspects. With powerful computing engines embedded, N171 has unprecedent geometry calculation and deep neural network processing capabilities, and can be widely used in surveillance, robots, drones, UGV, smart home, ADAS applications, etc.</p>
</blockquote>

<div align="center"><h3> </h3></div>

<p><a name="Canaan"></a></p>

<div align="center"><a href="https://canaan-creative.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Canaan_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<blockquote>
<p>Canaan's <a href="https://kendryte.com/">Kendryte</a> is a series of AI chips which focuses on IoT.</p>
</blockquote>

<p><a name="Enflame"></a></p>

<div align="center"><a href="http://www.enflame-tech.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Enflame_logo.png" height="60"></a></div>

<div align="center"><h3> </h3></div>

<blockquote>
<p>Enflame Tech is a startup company based in Shanghai, China. It was established in March 2018 with two R&D centers in Shanghai and Beijing. Enflame is developing the deep learning accelerator SoCs and software stack, targeting AI training platform solutions for the Cloud service provider and the data centers. </p>
</blockquote>

<p><strong><a href="https://www.hpcwire.com/off-the-wire/enflame-technology-announces-cloudblazer-with-dtu-chip-on-globalfoundries-12lp-finfet-platform-for-data-center-training/">Enflame Technology Announces CloudBlazer with DTU Chip on GLOBALFOUNDRIES 12LP FinFET Platform for Data Center Training</a></strong></p>

<blockquote>
<p>SHANGHAI, China, Dec. 12, 2019 – In conjunction with the launch of Enflame’s CloudBlazer T10, Enflame Technology and GLOBALFOUNDRIES (GF) today announced a new high-performing deep learning accelerator solution for data center training. Designed to accelerate deep learning deployment, the accelerator’s core Deep Thinking Unit (DTU) is based on GF’s 12LP FinFET platform with 2.5D packaging to deliver fast, power-efficient data processing for cloud-based AI training platforms.</p>
</blockquote>

<p><a name="EEasy"></a></p>

<div align="center"><a href="http://www.eeasytech.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Eeasy_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p><a href="https://www.dealstreetasia.com/stories/chinese-tech-startups-cloudpick-zhuhai-snag-intel-capital-funding-128422/">Chinese tech startups Cloudpick, EEasy Tech snag Intel Capital funding</a></p>

<blockquote>
<p>EEasy Technology Co. Ltd is an AI system-on-chip (SoC) design house and total solution provider. Its offerings include AI acceleration; image and graphic processing; video encoding and decoding; and mixed-signal ULSI design capabilities.</p>
</blockquote>


<p><a name="WITINMEM"></a></p>

<div align="center"><a href="http://www.witin.net/en/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/WITINMEM_logo.png" height="40"></a></div>

<div align="center"><h3> </h3></div>

<p>Founded in Oct. 2017, WITINMEM focuses on Low cost, low power AI chips and system solutions based on processing-in-memory technology in NOR Flash memory.</p>

<p><a name="Tsingmicro"></a></p>

<div align="center"><a href="http://www.tsingmicro.com/"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Tsingmicro_logo.png" height="70"></a></div>

<div align="center"><h3> </h3></div>

<p>Qingwei Intelligent Technology (Tsing Micro) is AI chip company spin-off from Tsinghua University.</p>

<p><a name="Blacksesame"></a></p>

<div align="center"><a href="http://bst.ai/#"><img src="https://github.com/basicmi/Deep-Learning-Processor-List/raw/master/resource/Blacksesame_logo.png" height="50"></a></div>

<div align="center"><h3> </h3></div>

<p><strong><a href="https://equalocean.com/ai/20190412-black-sesame-technologies-completes-usd-100-million-series-b-financing">Black Sesame Technologies Nearly Completes 100 Million Series B Financing Round</a></strong></p>

<blockquote>
<p>Black Sesame Technologies (黑芝麻智能科技) has nearly completed its 100 million Series B Financing round which will be used to expand cooperation with OEMs, accelerate mass production, reference design development of autopilot controllers, and software-vehicle integration.</p>
</blockquote>


<div align="center"><h3> </h3></div>

<div align="center"><h2><a name="Startups_Worldwide"></a>V. Startups Worldwide</h2></div>
<div align="center"><h2><a name="Startups"></a>IV. Startups</h2></div>

<p><HR></p>

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