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Founded Year



Series B | Alive

Total Raised




Last Raised

$200M | 2 yrs ago



About TensTorrent

TensTorrent develops a high-performance processor ASICs, specifically engineered for deep learning and smart hardware. The company's processor is designed to excel at both learning and inference, while being software-programmable to support the future in the field of machine learning. The processor's architecture easily scales from battery-powered IoT devices to large cloud servers, and surpasses today's solutions by several orders of magnitude in raw performance and energy efficiency.

Headquarters Location

150 Ferrand Dr. Suite 901

Toronto, Ontario, M3C 3E5,


ESPs containing TensTorrent

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

Enterprise Tech / Semiconductors & HPC

The AI processors market offers solutions for the increasing demand for artificial intelligence in various industries, including finance, retail, and autonomous vehicles. These processors provide high computing power and low power consumption at an advantageous cost, making AI enablement more accessible. Vendors in this market offer full-stack solutions integrating software and hardware, compatibl…

TensTorrent named as Challenger among 13 other companies, including Hailo, Cerebras Systems, and Blaize.

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TensTorrent's Products & Differentiators

    Grayskull E150

    A 150W PCIe Gen4 board mounted with a single Tenstorrent 'Grayskull' chip. Targeted at GPU workstations and rack enclosures.

Research containing TensTorrent

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

CB Insights Intelligence Analysts have mentioned TensTorrent in 3 CB Insights research briefs, most recently on Apr 11, 2022.

Expert Collections containing TensTorrent

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

TensTorrent is included in 4 Expert Collections, including Unicorns- Billion Dollar Startups.


Unicorns- Billion Dollar Startups

1,214 items


Artificial Intelligence

10,627 items

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


AI 100

100 items

Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.


Semiconductors, Chips, and Advanced Electronics

6,343 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.

TensTorrent Patents

TensTorrent has filed 27 patents.

The 3 most popular patent topics include:

  • Parallel computing
  • Artificial neural networks
  • Data management
patents chart

Application Date

Grant Date


Related Topics




Artificial neural networks, Graph data structures, Parallel computing, Metadata, Artificial intelligence


Application Date


Grant Date



Related Topics

Artificial neural networks, Graph data structures, Parallel computing, Metadata, Artificial intelligence



Latest TensTorrent News

Tenstorrent Selects Arteris IP for AI High-Performance Computing and Datacenter RISC-V Chiplets

May 2, 2023

Campbell, California, UNITED STATES CAMPBELL, Calif., May 02, 2023 (GLOBE NEWSWIRE) -- Arteris, Inc. (Nasdaq: AIP), a leading provider of system IP which accelerates system-on-chip (SoC) creation, today announced Tenstorrent has licensed Ncore and FlexNoC interconnect IP for its AI chiplet systems. The flexible network-on-chip (NoC) interconnect meets the demanding time-to-market and performance requirements needed to deliver the future generation of AI solutions for edge devices, edge servers and cloud servers. Tenstorrent combines AI and RISC-V computing together to deliver highly customized, high-performance chiplet and computing solutions that are tailored to specific workloads and applications. By using chiplets to create modular, scalable systems and RISC-V to design custom processors and accelerators, developers can create cost-effective multi-chip components and server systems that deliver powerful performance and next-level energy efficiency. “We are happy to share that we are partnering with Arteris to use Ncore and FlexNoC IP in our next-generation product," said Jim Keller, CEO of Tenstorrent. “The combination of performance and features made it a great choice for both our AI chips and our high-performance RISC-V CPUs. The Arteris team and IP solved our on-chip network problems so we can focus on building our next-generation AI and RISC-V CPU products." "Tenstorrent’s next-generation AI computing will further push the envelope on high-end RISC-V deep learning, which requires high-bandwidth, low-latency heterogeneous compute with interconnects to optimize data flow and overall performance," said K. Charles Janac, president and CEO of Arteris. "Our silicon-proven IP technology is built to meet the demands of such AI and ML solutions, fueling the next wave of innovation.” Arteris' cache coherent and non-coherent NoC IPs are highly configurable, ensuring high-performance data movement across CPU workloads. With its advanced features such as congestion management, quality of service (QoS) and error detection and correction, Ncore and FlexNoC enable low-latency, power-efficient communication between CPU clusters, resulting in high performance and productivity. About Arteris Arteris is a leading provider of system IP for the acceleration of system-on-chip (SoC) development across today’s electronic systems. Arteris network-on-chip (NoC) interconnect IP and IP deployment technology enable higher product performance with lower power consumption and faster time to market, delivering better SoC economics so its customers can focus on dreaming up what comes next. Learn more at . About Tenstorrent Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, among others. Learn more at . © 2004-2023 Arteris, Inc. All rights reserved worldwide. Arteris, Arteris IP, the Arteris IP logo, and the other Arteris marks found at are trademarks or registered trademarks of Arteris, Inc. or its subsidiaries. All other trademarks are the property of their respective owners.

TensTorrent Frequently Asked Questions (FAQ)

  • When was TensTorrent founded?

    TensTorrent was founded in 2016.

  • Where is TensTorrent's headquarters?

    TensTorrent's headquarters is located at 150 Ferrand Dr., Toronto.

  • What is TensTorrent's latest funding round?

    TensTorrent's latest funding round is Series B.

  • How much did TensTorrent raise?

    TensTorrent raised a total of $221.03M.

  • Who are the investors of TensTorrent?

    Investors of TensTorrent include Eclipse Ventures, Fidelity Investments, Moore Capital Management and Real Ventures.

  • Who are TensTorrent's competitors?

    Competitors of TensTorrent include ChipIntelli, Intellifusion, Mythic, NeuReality, Graphcore, Enflame, Tensil, Pensando Systems, Cerebras Systems, Blaize and 14 more.

  • What products does TensTorrent offer?

    TensTorrent's products include Grayskull E150 and 4 more.

Compare TensTorrent to Competitors

Groq Logo

Groq designs the Tensor Streaming Processor (TSP) architecture-based chip. It is a single enormous processor that has hundreds of functional units. Its architecture reduces instruction-decoding overhead and handles integer and floating-point data. It was founded in 2016 and is based in Mountain View, California.

Graphcore Logo

Graphcore provides AI systems and services that enable organizations to build, train and deploy models in the cloud using infrastructure processing unit (IPU) hardware. Its products include cloud infrastructure processing units, data center infrastructure processing units, bow infrastructure processing units, and more. The company serves the finance, biotech, scientific research, and consumer internet sectors. It was founded in 2016 and is based in Bristol, United Kingdom.

Cerebras Systems Logo
Cerebras Systems

Cerebras is a computer systems company dedicated to accelerating deep learning. The Wafer-Scale Engine (WSE), is at the heart of the deep learning system, the Cerebras CS-1. The WSE delivers more computing more memory, and more communication bandwidth. This enables AI research at high speeds and scale.


Mythic develops a local artificial intelligence (AI) platform. It offers solutions for smart cities and spaces, intelligent machines and robots, smart homes, metaverse, drones, and aerospace industries. The company was formerly known as Isocline Engineering Corp. It was founded in 2012 and is based in Austin, Texas.

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Blaize provides a software platform to span the complete edge artificial intelligence (AI) operational workflow from idea to deployed application. It optimizes artificial intelligence (AI) with the location of data. The platform collects and processes data from the edge to the core, with a focus on automotive, smart vision, and enterprise computing markets. It was formally known as ThinCI. It was founded in 2010 and is based in El Dorado Hills, California.

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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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