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Founded Year

2000

Stage

Series B | Alive

About Baidu Kunlun

Baidu Kunlun is a subsidiary of Baidu Cloud that specializes in the design and production of AI chips. The company was founded in 2000 and is based in Beijing, China.

Headquarters Location

Beijing, Beijing,

China

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Research containing Baidu Kunlun

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Baidu Kunlun in 1 CB Insights research brief, most recently on May 10, 2023.

Expert Collections containing Baidu Kunlun

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

Baidu Kunlun is included in 1 Expert Collection, including Semiconductors, Chips, and Advanced Electronics.

S

Semiconductors, Chips, and Advanced Electronics

6,635 items

Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more

Latest Baidu Kunlun News

Baidu Brain 7.0 AI Platform Announced; Baidu Kunlun II AI Chips Now in Mass Production

Aug 19, 2021

By Todd R. Weiss August 18, 2021 The latest version of Baidu’s open AI platform, Baidu Brain 7.0, has been launched by the Chinese technology company, which also announced that its Kunlun II AI chips are now in mass production. The updates were unveiled at the company’s flagship Baidu World 2021 technology conference, which was  live-streamed  from Beijing. The conference was held virtually due to the continuing COVID-19 pandemic. Baidu Brain 7.0 is one of the world’s largest AI open platforms, according to the company, and is used by Baidu to support industrial applications of AI and Baidu Cloud. The new version offers greater integration of a wide array of knowledge sources and deep learning, including language comprehension and reasoning using a combination of technologies to enable output across language, voice and visual formats. No further details or specifications of the new release were provided by Baidu at the conference. The previous version,  Baidu Brain 6.0 , had developed more than 270 core AI capabilities and created over 310,000 models for developers, becoming a key driver of the intelligent transformation in a wide range of industries, according to the company. Baidu Brain debuted in 2016 as a platform. The  mass availability of the new Kunlun II AI chip  from Baidu means that customers will be able to use the latest chips along with the dramatically improved Baidu Brain 7.0 software to enable a new generation of AI applications, the company said in a statement. The Kunlun II chips, which were independently developed by Baidu, promise two to three times more processing power than the first generation of Kunlun chips. The Kunlun II features a 7nm process and is equipped with Baidu’s homegrown second-generation XPU neural processor architecture for cloud, edge, and AI, according to the company. The Kunlun II chips provide up to 256 TeraOPS (INT8) and 128 TFLOPS(FP16), with a maximum power consumption of 120W, according to Baidu. The chips feature Arm CPUs, high-speed interconnects, security and virtualization, as well as an upgraded compiler engine and development kit. The company is not presently releasing any additional specifications or performance figures for the Kunlun II chips. The first-gen Kunlun chips were  introduced in 2018  and  began mass production  in late 2019. More than 20,000 first-gen Kunlun chips have been manufactured so far and have been used for search engine, smart assistants and cloud business needs, according to Baidu. The original first-gen Kunlun chips used a 14nm process technology and included 512 gigabytes per second (Gbps) of memory bandwidth. They provided performance of up to 260 TOPS at 150 watts and allowed Ernie pre-training models for natural language processing to infer three times faster than the conventional GPU/FPGA-accelerating model, according to Baidu. The new Kunlun II chips can be used with cloud, terminal and edge computing scenarios for a wide variety of needs, including high-performance computer clusters, biocomputing and intelligent transportation and autonomous driving, according to  Baidu . The Kunlun II chips are optimized for AI technologies such as voice, natural language processing and images and support deep learning frameworks such as Baidu’s open source deep learning platform,  PaddlePaddle . In March, Baidu’s Kunlun chip division received a new round of funding that was  reported to be about $2 billion , according to a report by Reuters, while in a bigger move in June, Baidu  spun the Kunlun chipmaking unit off  as its own company. Leading Solution Providers August 19, 2021 In July, reports that Intel is pursuing a $30 billion acquisition of chip fab operation GlobalFoundries threw the chip market into a tizzy, with Intel declining to comment and industry analysts offering a wide range of c Read more… August 18, 2021 Big things are in store for the Pawsey Supercomputing Centre in Perth, Western Australia – and soon, big things will be in storage. The center, which is gearing up for the deployment of the largest-ever radio telescope Read more… August 18, 2021 The latest version of Baidu’s open AI platform, Baidu Brain 7.0, has been launched by the Chinese technology company, which also announced that its Kunlun II AI chips are now in mass production.The updates were unv Read more… August 16, 2021 While most of the quantum computing world is focused on achieving fault tolerant computing – some day – with intermediate applications for NISQ (near intermediate scale quantum) systems emerging along the way, Zapata Read more… August 13, 2021 The burgeoning field of neuromorphic computing – arguably led by Intel’s “Loihi” chip – leverages virtualized neurons to mimic the behavior of the brain. Typically, the “brain” referred to by that sentence Read more… AWS Solution Channel August 12, 2021 In 2020, residential and commercial buildings in the U.S. accounted for 40 percent of all energy consumption in the country – and with climate change rapidly accelerating, enormous cuts will be necessary in the buildin Read more… August 19, 2021 In July, reports that Intel is pursuing a $30 billion acquisition of chip fab operation GlobalFoundries threw the chip market into a tizzy, with Intel declining Read more… August 18, 2021 Big things are in store for the Pawsey Supercomputing Centre in Perth, Western Australia – and soon, big things will be in storage. The center, which is geari Read more… August 16, 2021 While most of the quantum computing world is focused on achieving fault tolerant computing – some day – with intermediate applications for NISQ (near interm Read more… August 13, 2021 The burgeoning field of neuromorphic computing – arguably led by Intel’s “Loihi” chip – leverages virtualized neurons to mimic the behavior of the bra Read more… August 11, 2021 A $10 billion ‘secret’ cloud computing contract that was recently won by Amazon Web Services from the U.S. National Security Agency quickly came under fire Read more… August 10, 2021 Looking for an AI refresher to beat the summer heat? In this Q&A, Hyperion Research Senior Adviser Steve Conway surveys the AI and analytics marketplace in a time of intense activity and financial backing. Just last week, the NSF announced it had expanded the National AI Research Institutes program... Read more… August 10, 2021 Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more… August 9, 2021 The NSF has announced a new institute, funded to the tune of tens of millions of dollars and supported by a series of major supercomputer centers: ICICLE. “ICICLE,” which is shorthand for the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment, aims... Read more… May 8, 2021 TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base cl Read more… May 27, 2021 A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more… June 22, 2021 In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer called Dojo to process truly vast amounts of video data. It’s a beast! … A truly useful exaflop at de facto FP32.” Read more… May 20, 2021 Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more… June 21, 2021 The Rocky Enterprise Software Foundation (RESF) is announcing the general availability of Rocky Linux, release 8.4, designed as a drop-in replacement for the soon-to-be discontinued CentOS. The GA release is launching six-and-a-half months after Red Hat deprecated its support for the widely popular, free CentOS server operating system. The Rocky Linux development effort... Read more… May 18, 2021 Iran is said to be developing domestic supercomputing technology to advance the processing of scientific, economic, political and military data, and to strengthen the nation’s position in the age of AI and big data. On Sunday, Iran unveiled the Simorgh supercomputer, which will deliver.... Read more… August 10, 2021 Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more… More Editor's Picks June 1, 2020 The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more… July 1, 2021 AMD’s planned acquisition of FPGA maker Xilinx is now in the hands of Chinese regulators after needed antitrust approvals for the $35 billion deal were receiv Read more… January 13, 2021 The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more… July 13, 2021 IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more… April 22, 2021 More than 14 months ago, the UK government announced plans to invest £1.2 billion ($1.56 billion) into weather and climate supercomputing, including procuremen Read more… April 22, 2021 As part of our HPCwire Person to Watch series, we are happy to present our interview with Jim Keller, president and chief technology officer of Tenstorrent. One of the top chip architects of our time, Keller has had an impactful career. Read more… July 14, 2021 After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…

Baidu Kunlun Frequently Asked Questions (FAQ)

  • When was Baidu Kunlun founded?

    Baidu Kunlun was founded in 2000.

  • Where is Baidu Kunlun's headquarters?

    Baidu Kunlun's headquarters is located at Beijing.

  • What is Baidu Kunlun's latest funding round?

    Baidu Kunlun's latest funding round is Series B.

  • Who are the investors of Baidu Kunlun?

    Investors of Baidu Kunlun include Zhongguancun Science City Science and Technology Fund, BYD, General Technology Venture Capital, Qianshan Capital, Sunic Capital and 9 more.

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