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Founded Year

2016

Stage

Secondary Market - II | Alive

Total Raised

$718M

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-16 points in the past 30 days

About Cerebras

Cerebras focuses on artificial intelligence (AI) work in computer science and deep learning. The company offers a new class of computers, the CS-2, which is designed to train AI models efficiently with applications in natural language processing (NLP), computer vision, and computing. Cerebras primarily serves sectors such as health and pharma, energy, government, scientific computing, financial services, and web and social media. It was founded in 2016 and is based in Sunnyvale, California.

Headquarters Location

1237 East Arques Avenue

Sunnyvale, California, 94085,

United States

630-807-9181

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Cerebras's Product Videos

ESPs containing Cerebras

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Semiconductors & HPC

The AI inference processors market develops specialized chips for efficiently executing pre-trained AI models in real-time applications. These processors prioritize low latency and energy efficiency, making them essential for tasks such as image recognition, natural language processing, and recommendation systems in devices such as smartphones, robotics, and autonomous vehicles. The market is expa…

Cerebras named as Outperformer among 15 other companies, including Samsung Electronics, Advanced Micro Devices, and IBM.

Cerebras's Products & Differentiators

    Cerebras CS-3 AI System

    The Cerebras CS-3 AI system, announced in March 2024, is an AI accelerator powered by the largest processor ever built, the third-generation Cerebras Wafer Scale Engine (WSE-3). Built at the 5nm node, the WSE-3 more than doubles the performance of the WSE-2. WSE-3 is the world’s fastest AI processor – it is an order of magnitude faster and more capable than the latest Nvidia GPU and 2x faster than the previous CS-2.

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Research containing Cerebras

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

CB Insights Intelligence Analysts have mentioned Cerebras in 2 CB Insights research briefs, most recently on Sep 13, 2024.

Expert Collections containing Cerebras

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

Cerebras is included in 6 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,249 items

A

AI 100

199 items

Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.

G

Game Changers 2018

70 items

S

Semiconductors, Chips, and Advanced Electronics

7,204 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

F

Future of the Factory (2024)

436 items

This collection contains companies in the key markets highlighted in the Future of the Factory 2024 report. Companies are not exclusive to the categories listed.

A

Artificial Intelligence

6,887 items

Cerebras Patents

Cerebras has filed 61 patents.

The 3 most popular patent topics include:

  • artificial intelligence
  • machine learning
  • parallel computing
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/23/2018

3/19/2024

Artificial neural networks, Machine learning, Artificial intelligence, Deep learning, Parallel computing

Grant

Application Date

2/23/2018

Grant Date

3/19/2024

Title

Related Topics

Artificial neural networks, Machine learning, Artificial intelligence, Deep learning, Parallel computing

Status

Grant

Latest Cerebras News

Cerebras Triples Industry-Leading Inference Performance, Sets New Record

Oct 29, 2024

Cerebras Inference delivers 2,100 tokens/second for Llama 3.2B 70B — 16X performance of the fastest GPUs and 68x faster than hyperscale clouds Today, Cerebras Systems, the pioneer in high performance AI compute, smashed its previous industry record for inference, delivering 2,100 tokens/second performance on Llama 3.2 70B. This is 16x faster... The post Cerebras Triples Industry-Leading Inference Performance, Sets New Record first appeared on AI-Tech Park.

Cerebras Frequently Asked Questions (FAQ)

  • When was Cerebras founded?

    Cerebras was founded in 2016.

  • Where is Cerebras's headquarters?

    Cerebras's headquarters is located at 1237 East Arques Avenue, Sunnyvale.

  • What is Cerebras's latest funding round?

    Cerebras's latest funding round is Secondary Market - II.

  • How much did Cerebras raise?

    Cerebras raised a total of $718M.

  • Who are the investors of Cerebras?

    Investors of Cerebras include CrossWork, Fabrica Ventures, Benchmark, Eclipse Ventures, Coatue and 14 more.

  • Who are Cerebras's competitors?

    Competitors of Cerebras include Groq, Graphcore, Tenstorrent, Rain, Blaize and 7 more.

  • What products does Cerebras offer?

    Cerebras's products include Cerebras CS-3 AI System and 3 more.

  • Who are Cerebras's customers?

    Customers of Cerebras include Mayo Clinic, Sandia National Laboratories, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, National Nuclear Security Administration, U.S. Department of Energy’s National Energy Technology Laboratory and GlaxoSmithKline.

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Compare Cerebras to Competitors

Groq Logo
Groq

Groq specializes in AI inference technology within the artificial intelligence sector. The company offers a hardware and software platform that is designed to provide compute speeds and energy efficiency for AI applications. It was founded in 2016 and is based in Mountain View, California.

Blaize Logo
Blaize

Blaize specializes in AI processing solutions with a focus on AI hardware architecture and software platforms for various industries. It offers a full-stack hardware architecture and a no-code software platform designed to simplify and accelerate the deployment of AI applications from data centers to the network's edge. Blaize primarily serves sectors such as automotive, smart vision, and enterprise computing. Blaize was formerly known as ThinCI. It was founded in 2010 and is based in El Dorado Hills, California.

Mythic Logo
Mythic

Mythic is a high-performance analog computing company specializing in AI acceleration technology. Their products include the M1076 Analog Matrix Processor and M.2 key cards, which provide power-efficient AI inference for edge devices and servers. Mythic primarily serves sectors that require real-time analytics and high data throughput, such as smarter cities and spaces, drones and aerospace, and AR/VR applications. Mythic was formerly known as Isocline Engineering. It was founded in 2012 and is based in Austin, Texas.

Tenstorrent Logo
Tenstorrent

Tenstorrent focuses on developing hardware for deep learning within the AI and machine learning industries. It offers a range of products, including accelerated compute IP solutions, AI computer cards, customizable software, and dense AI/ML data center systems. Its products are designed to cater to the needs of the data center and edge computing sectors. It was founded in 2016 and is based in Toronto, Canada.

B
BITMAIN

BITMAIN manufactures the digital currency mining sector, specializing in mining servers. The company offers technology power efficiency and provides computational infrastructure solutions to the global blockchain network. It primarily serves the cryptocurrency mining industry. It was founded in 2013 and is based in Beijing, China.

W
Wave Computing

Wave Computing is a company focused on revolutionizing artificial intelligence through its dataflow-based chips, systems, and software in the technology sector. The company's main offerings include high-performance, scalable, and power-efficient processors based on the RISC-V instruction set architecture, designed for high-end applications. These processors are primarily used in the automotive, high-performance computing and data center, and communications and networking sectors. It is based in Campbell, California.

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