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Founded Year



Convertible Note | Alive

Total Raised


Last Raised

$400M | 3 mos ago

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

+20 points in the past 30 days

About Ampere

Ampere focuses on designing hyper-scale cloud and edge computing solutions. The company's main offerings include cloud-native processors, which are designed to provide sustainable solutions for data centers and edge computing environments. These processors are used primarily in the cloud computing and edge computing industries. It was founded in 2017 and is based in Santa Clara, California.

Headquarters Location

4655 Great America Parkway Suite 601

Santa Clara, California, 95054,

United States




Research containing Ampere

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

CB Insights Intelligence Analysts have mentioned Ampere in 3 CB Insights research briefs, most recently on Dec 4, 2023.

Expert Collections containing Ampere

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

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


Semiconductors, Chips, and Advanced Electronics

6,553 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

Ampere Patents

Ampere has filed 64 patents.

The 3 most popular patent topics include:

  • parallel computing
  • computer memory
  • cache (computing)
patents chart

Application Date

Grant Date


Related Topics




Virtual memory, Memory management, Computer memory, Instruction processing, Instruction set architectures


Application Date


Grant Date



Related Topics

Virtual memory, Memory management, Computer memory, Instruction processing, Instruction set architectures



Latest Ampere News

Scaleway delivers cost-optimized Ampere Altra instances as an alternative for AI workloads

Nov 17, 2023

Scaleway delivers cost-optimized Ampere Altra instances as an alternative for AI workloads SHARE The French cloud computing infrastructure provider Scaleway SAS today announced the availability of what it calls Cost-Optimized instances based on the Arm central processing unit architecture, targeted at real-time artificial intelligence and high-performance computing workloads. The cost-optimized COP-ARM instances are powered by Ampere Computing LLC’s Ampere Altra CPUs , which are said to be a more cost-effective and high-performing alternative to Intel Corp’s x86 processors. Scaleway is a cloud infrastructure provider that targets developers and scaling businesses with more affordable services than those offered by giants such as Amazon Web Services Inc., Microsoft Corp. and Google Cloud. Among its services, it offers web hosting, cloud hosting, dedicated servers, private infrastructure and bare-metal servers. It serves businesses in more than 150 countries and has four data centers in France and one in the Netherlands. The company said Ampere’s Altra processors can be a more affordable option for companies wanting to run AI training and large language model inference applications. Ampere is an agnostic, Arm-based processor developer that partners with cloud infrastructure providers, helping them to create their own data center processors . For instance, it previously collaborated with AWS, helping it to design its popular Graviton virtual machines . It also provides chips to Oracle Corp. , one of its main investors. The company is notable for succeeding with its Arm-based chips while other chipmakers, such as Qualcomm Inc., Marvell Technologies Inc., Advanced Micro Devices Inc. and Samsung Electronics Co. Ltd. have all exited the market for Arm-based data center chips. Scaleway said the cost-optimized Ampere Altra instances are tailor-made for real-time AI workloads such as chatbots, data analytics and video content analysis. Their lightning-fast inference capabilities can, for example, ensure swift and efficient responses to questions posed by users to generative AI chatbots. It claims that the instances can be optimized for such workloads at a fraction of the cost of alternative solutions, such as graphics processing unit-based instances. Ampere Chief Product Officer Jeff Wittich said AI training and inference are two different workloads, and while GPUs and accelerators make sense for the former, CPUs are perfectly suited to the latter. “Our CPUs are especially well-suited to inference because they are high-performance and balanced,” he said. “Plus you need predictable latency in these cases, and to keep processing close to the core, not have it bouncing around all over the place.” Because AI is still in the hype and research phase thanks to the excitement around chatbots such as ChatGPT, many enterprises have instinctively sought to throw as much power as they possibly can at large language models. But Wittich said that as AI matures, common sense will prevail and companies will increasingly look for more cost-effective and sustainable ways to run it. “Not everyone will be able to pay for a solution like ChatGPT, which features all of human knowledge,” he said. “We’ll see more specialization of models as well as refinement of existing models.” These more specialized and refined models won’t need such enormous power, Wittich said, which is why Ampere’s Arm CPUs are such a credible option. “Overall, AI models will become smaller and more focused on specific tasks,” he said. This is where the energy efficiency of Scaleway’s instances stands out, allowing customers to power AI workloads in a more sustainable way. The chips are also suitable for high-performance computing workloads such as research simulations, financial modeling and extensive data analysis, as well as running databases, cloud gaming and media encoding, minimizing the environmental impact without sacrificing on performance. Scaleway said the new cost-optimized Ampere Altra instances are available to customers now, and represent a significant leap in cloud technology. “We are offering businesses a powerful and cost-effective alternative that can achieve high-performance results in the most efficient and sustainable way possible,” he said. Image: Scaleway/Ampere A message from John Furrier, co-founder of SiliconANGLE: Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content.

Ampere Frequently Asked Questions (FAQ)

  • When was Ampere founded?

    Ampere was founded in 2017.

  • Where is Ampere's headquarters?

    Ampere's headquarters is located at 4655 Great America Parkway, Santa Clara.

  • What is Ampere's latest funding round?

    Ampere's latest funding round is Convertible Note.

  • How much did Ampere raise?

    Ampere raised a total of $780M.

  • Who are the investors of Ampere?

    Investors of Ampere include Oracle, MACOM, Denver Acquisition, Carlyle and Arm.

  • Who are Ampere's competitors?

    Competitors of Ampere include TensTorrent and 6 more.


Compare Ampere to Competitors

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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 artificial intelligence (AI) systems and services for organizations to build, train, and deploy models in the cloud using infrastructure processing unit (IPU) hardware. It offers products such as cloud infrastructure processing units, data center infrastructure processing units, bow infrastructure processing units, and more. The company serves the finance, biotechnology, scientific research, and consumer internet sectors. It was founded in 2016 and is based in Bristol, United Kingdom.

Cerebras Logo

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.

TensTorrent Logo

TensTorrent develops artificial intelligence (AI) processors for machine learning workloads. It develops processor application-specific integrated circuits (ASICs), specifically engineered for deep learning and smart hardware. The company's processor is designed to excel at both learning and inference. It was founded in 2016 and is based in Toronto, Canada.

NeuReality Logo

NeuReality operates as a semiconductor company. It creates artificial intelligence (AI) -centric computing system architecture. The company develops inference technologies, such as computer vision, natural language processing, and recommendation engines easier to implement for a broader set of less technical companies. It was founded in 2019 and is based in Caesarea, Israel.

Another Brain

Another Brain is a company focused on the development of artificial intelligence technologies. The company's main offering is a new generation of AI, known as Organic AI, which is self-learning, energy-efficient, and capable of explaining its decisions. This technology is primarily used to modernize manufacturing and production processes in the industry 4.0 sector. It was founded in 2017 and is based in Paris, France.


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