Enterprise Tech / Semiconductors & HPC
Best AI Inference Processors Companies
What is AI Inference Processors?
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 expanding rapidly due to AI’s growing integration into consumer electronics and industrial applications, advancements in accelerated computing technologies, and diverse products in sectors such as automotive, healthcare, and entertainment.
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Top AI Inference Processors Companies

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.
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National AI Research Resource, aiXplain, Argonne National Laboratory, and 1 more
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Intel (NASDAQ: INTC) operates as a multinational technology company. The company's products include microprocessors, chipsets, motherboards, network interface controllers and integrated circuits, flash memory, and more. It was formerly known as NM Electronics. It was founded in 1968 and is based in Santa Clara, California.

NVIDIA is a full-stack computing company known for pioneering accelerated computing and the invention of the GPU, operating within the high-performance computing, artificial intelligence, and graphics processing sectors. The company offers a range of products and services including graphics processing units for gaming and professional markets, platforms for AI and HPC, and solutions for autonomous vehicles and robotics. NVIDIA's offerings cater to a diverse set of industries such as automotive, healthcare, manufacturing, and entertainment. It was founded in 1993 and is based in Santa Clara, California.

Samsung Electronics is a global leader in consumer electronics, focusing on a wide array of technology products and services. The company offers a diverse range of products including smartphones, tablets, wearables, televisions, home appliances, computing devices, and memory storage solutions, all designed to enhance the digital lifestyle of consumers. It was founded in 1969 and is based in Gyeonggi-do, South Korea.

Advanced Micro Devices is a multinational semiconductor company. It offers a range of products such as central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and more. It serves industries such as education, healthcare, media, and more. The company was founded in 1969 and is based in Santa Clara, California.

IBM operates as a multinational information technology company. It manufactures and sells computer hardware and software products. It also offers a range of solutions such as cloud cost management, business automation, data management, data warehouse, and more. It serves industries such as automotive, insurance, retail, and more. It was formerly known as Computing-Tabulating-Recording Company. The company was founded in 1911 and is based in Armonk, New York.
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Cambricon specializes in artificial intelligence technologies, focusing on the development of core processor chips for intelligent cloud servers, smart terminals, and intelligent robots within the technology sector. The company offers a range of AI accelerator cards and chips designed to enhance cloud computing, edge computing, and AI training capabilities. Cambricon's products are primarily utilized in the artificial intelligence industry, serving various sectors such as smart transportation, smart education, and smart finance. It was founded in 2016 and is based in Beijing, Beijing.
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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.

d-Matrix engages in data center artificial intelligence (AI) inferencing using in-memory computing (IMC) techniques with chipset-level scale-out interconnects. It builds and deploys a mixed-signal DSP in a full-stack AI solution for a broad class of inferencing workloads in the cloud and infrastructure edge markets. The company was founded in 2019 and is based in Santa Clara, California.
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Enflame specializes in artificial intelligence cloud computing products. Its offerings include the development and delivery of software solutions and systems. It engages in the development of deep learning high-end chips for cloud data centers. The company was founded in 2018 and is based in Shanghai, China.
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Expedera focuses on providing scalable neural engine semiconductor intellectual property (IP) in the artificial intelligence (AI) industry. The company's main offerings include neural processing unit (NPU) products designed to improve performance, power, and AI applications while reducing cost and complexity. These products are used in a wide range of applications, from wearables and smartphones to automotive systems and data centers. It was founded in 2018 and is based in Santa Clara, California.
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Flex Logix specializes in reconfigurable computing technology within the semiconductor industry. The company offers embedded FPGA (eFPGA) IP solutions and AI inference accelerators that enable chip designs to adapt to changing protocols, standards, and customer needs, as well as enhance processing speeds for specific workloads. Flex Logix primarily serves sectors that require high-performance computing, such as the AI inference market and various industries in need of eFPGA integration for flexible processing capabilities. It was founded in 2014 and is based in Mountain View, California.
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Houmo.AI focuses on the development of intelligent computing chips and integrated software and hardware platforms in the technology sector. The company specializes on the productization and industrialization of the design, manufacturing, and application of storage and computing integrated artificial intelligence (AI) chips. Houmo.AI's products are applicable in a wide range of areas including robotics, autonomous vehicles, and cloud-based inference and training. It was founded in 2020 and is based in Nanjing, China.

Mobilint focuses on providing Neural Processing Unit (NPU) solutions, operating within the artificial intelligence and technology sectors. The company offers solutions optimized for artificial intelligence tasks at the edge, which can perform various algorithm operations and significantly improve the performance of edge products. Its solutions are primarily sold to the AI and technology industries. It was founded in 2019 and is based in Seoul, South Korea.

Untether AI is a company that focuses on the development of high-performance AI chips, operating within the technology and artificial intelligence sectors. The company's main offerings include ultra-efficient AI chips that are designed to enhance the performance of AI applications by eliminating data movement bottlenecks, thus enabling faster, cooler, and more cost-effective operation of AI inference workloads. Untether AI primarily serves the technology and artificial intelligence industries. It was founded in 2018 and is based in Toronto, Canada.
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Our Methodology
The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is AI Inference Processors?
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 expanding rapidly due to AI’s growing integration into consumer electronics and industrial applications, advancements in accelerated computing technologies, and diverse products in sectors such as automotive, healthcare, and entertainment.
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