Accelerator Card

Accelerator Card Market Outlook

The global Accelerator Card market is projected to reach approximately USD 45 billion by 2035, with a compound annual growth rate (CAGR) of around 20% from 2025 to 2035. This robust growth can be attributed to several factors, including the increasing demand for high-performance computing solutions across various industries, the rapid advancements in artificial intelligence (AI) technologies, and the growing need for enhanced data processing capabilities in cloud computing environments. Furthermore, the rise of big data analytics and the Internet of Things (IoT) has significantly driven the adoption of accelerator cards, as they enable faster computations and improved efficiency in handling large datasets. As organizations continue to seek competitive advantages through technological innovations, the Accelerator Card market is expected to witness substantial growth in the coming years.

Growth Factor of the Market

Several key growth factors are contributing to the expansion of the Accelerator Card market. Firstly, the growing reliance on artificial intelligence and machine learning applications is driving the demand for specialized hardware that can enhance computational capabilities. Enterprises are increasingly investing in high-performance computing (HPC) systems to support complex simulations, data analysis, and real-time decision-making processes. Additionally, the proliferation of cloud services has created a significant need for efficient data processing solutions, compelling service providers to integrate accelerator cards into their infrastructure. Another factor is the continuous evolution of industries such as gaming, healthcare, and automotive, which are leveraging accelerator cards for rendering graphics, processing large volumes of medical data, and enhancing autonomous driving technologies. Furthermore, government initiatives and funding aimed at promoting technological advancements will likely provide further impetus to the market's growth.

Key Highlights of the Market

• Rapid adoption of AI-driven applications across various sectors.
• Increased demand for high-performance computing solutions in data centers.
• Significant advancements in accelerator card technologies, improving processing speed and efficiency.
• Growing interest in cloud computing leading to higher integration of accelerator cards in cloud services.
• Emerging markets are showcasing heightened investment in accelerator technologies, fueling global growth.

By Product Type

GPU Accelerator Cards:

GPU Accelerator Cards are a significant segment of the Accelerator Card market, primarily utilized for rendering graphics and performing complex computations. These cards leverage thousands of cores to perform parallel processing tasks, making them ideal for applications in gaming, data visualization, and scientific simulations. Industries such as entertainment and video editing have benefited immensely from the power of GPU accelerators, as they enable faster frame rates and smoother graphics rendering. Furthermore, the rise of AI and machine learning has led to increased adoption of GPU accelerators, as they can efficiently handle the massive datasets required for training complex models. The continuous advancements in GPU technologies, such as enhanced memory bandwidth and support for real-time ray tracing, further drive market growth in this segment.

FPGA Accelerator Cards:

Field-Programmable Gate Arrays (FPGA) Accelerator Cards are gaining traction due to their versatility and ability to be customized for specific applications. These cards are particularly suited for tasks that require low latency and high throughput, such as financial trading systems, telecommunications, and data processing in cloud environments. The unique architecture of FPGA allows developers to reconfigure the hardware to optimize performance for various workloads, making it a preferred choice in industries where adaptability is crucial. Additionally, the growing trend towards edge computing has further expanded the use of FPGA accelerator cards, as they can process data closer to the source, reducing latency and bandwidth usage in the cloud.

AI Accelerator Cards:

AI Accelerator Cards are specifically designed to enhance the performance of AI applications, enabling faster training and inference of machine learning models. These cards utilize specialized hardware, such as tensor processing units (TPUs) or custom-designed chips, to optimize mathematical operations commonly used in AI algorithms. The rising adoption of AI across sectors like healthcare, finance, and automotive is significantly propelling the demand for these cards, as organizations seek to leverage AI for automation and decision-making. As AI technologies continue to evolve, the need for dedicated AI accelerator solutions is expected to grow, creating new opportunities within this segment of the market.

Video Processing Accelerator Cards:

Video Processing Accelerator Cards cater to the growing demand for high-quality video content and real-time video processing capabilities. These cards are essential in industries such as broadcasting, video streaming, and content creation, where the need for fast rendering and encoding is paramount. With the advent of 4K and even 8K video formats, the requirements for processing power have surged, leading to increased adoption of video processing accelerators. Furthermore, the rise of virtual reality (VR) and augmented reality (AR) applications has further driven the need for advanced video processing technologies, as these platforms require real-time rendering and low-latency performance to provide an immersive experience.

Network Accelerator Cards:

Network Accelerator Cards are integral to optimizing network performance and enhancing data transmission speeds. These cards are employed in high-traffic environments, such as data centers and cloud service providers, where data transfer and network efficiency are critical. By offloading processing tasks from the main CPU, network accelerator cards facilitate faster packet processing and improve overall system performance. The growing trend towards 5G technology and the increasing number of connected devices are significant factors driving the demand for network accelerators, as they play a crucial role in enabling seamless connectivity and supporting bandwidth-intensive applications.

By Application

Data Centers:

Data centers are among the largest consumers of accelerator cards, leveraging these technologies to enhance computational capabilities and optimize resource utilization. As the demand for data storage and processing continues to escalate, data centers are turning to accelerator cards to improve efficiency and reduce latency. These cards enable rapid processing of incoming data streams, making them critical for big data analytics, cloud computing, and enterprise applications. With the trend of digital transformation across industries, data centers are investing heavily in accelerator technologies to remain competitive and meet service-level agreements (SLAs) for performance and availability.

Cloud Computing:

In the realm of cloud computing, accelerator cards play a pivotal role in providing on-demand processing power for various applications. Cloud service providers are increasingly integrating these cards into their infrastructure to deliver high-performance services to customers. The use of accelerator cards allows for scalable computing resources, enabling businesses to handle workloads efficiently and respond to fluctuating demands. With the rise of multi-cloud strategies and the growing adoption of AI and machine learning in the cloud, the demand for accelerator cards is expected to witness significant growth, as they facilitate the deployment of advanced applications and services.

High-Performance Computing:

High-Performance Computing (HPC) is a domain where accelerator cards are essential for achieving superior computational power. These cards are utilized in various scientific research fields, including climate modeling, genomic analysis, and complex simulations. By leveraging accelerator cards, researchers can perform calculations at unprecedented speeds, significantly reducing time-to-insight and enhancing the quality of research outcomes. The increasing focus on data-driven research and the need for high processing capabilities are driving the demand for accelerator cards in HPC applications, as they enable scientists and engineers to tackle complex problems more effectively.

Artificial Intelligence:

The proliferation of artificial intelligence applications has created a substantial demand for accelerator cards designed specifically for AI workloads. These cards enable faster model training and inference, facilitating advancements in natural language processing, image recognition, and predictive analytics. Organizations across various industries are investing in AI solutions to drive innovation and improve operational efficiency. Accelerator cards are integral to these AI systems, as they enhance processing power and enable the handling of large datasets, ultimately contributing to the development of smarter, more efficient applications.

Edge Computing:

Edge computing is emerging as a critical area for the deployment of accelerator cards, as organizations seek to process data closer to the source. This approach reduces latency and bandwidth requirements, making it ideal for applications that demand real-time analysis, such as IoT devices and smart manufacturing. Accelerator cards are increasingly being integrated into edge devices to enhance their computational capabilities, allowing for more efficient data handling and decision-making at the edge of the network. As the IoT ecosystem continues to expand, the demand for accelerator cards in edge computing is expected to grow, providing organizations with the tools they need to harness the power of real-time data processing.

By Distribution Channel

Online Stores:

Online stores have become a significant distribution channel for accelerator cards, providing consumers and businesses with easy access to a wide range of products. The convenience of online shopping allows customers to compare features, prices, and specifications before making a purchase. E-commerce platforms often offer detailed product descriptions and user reviews, aiding customers in making informed decisions. Furthermore, online stores frequently run promotional campaigns and discounts, which can attract more buyers. With the increasing trend of digital purchasing, the online distribution channel is expected to continue its growth in the accelerator card market.

Electronics Retailers:

Electronics retailers play a crucial role in the distribution of accelerator cards, providing customers with the opportunity to view products in person before purchasing. These retailers often have knowledgeable staff who can assist customers in selecting the right accelerator card based on their specific needs and applications. The physical presence of electronics retailers allows for quick purchases and immediate access to products, which is appealing to many consumers. Additionally, retailers may provide installation and support services, further enhancing the customer experience. As the demand for accelerator technology grows, electronics retailers are likely to expand their offerings in this market.

Direct Sales:

Direct sales are an important distribution channel for accelerator cards, particularly for manufacturers targeting large enterprises or specialized applications. By engaging directly with customers, manufacturers can tailor their offerings to meet specific needs and provide personalized support. Direct sales can also facilitate bulk purchasing arrangements, enabling organizations to obtain competitive pricing and dedicated resources for installation and maintenance. This channel is particularly effective for businesses that require customized solutions or have unique performance requirements, driving the demand for accelerator cards in specialized sectors.

Third-Party Distributors:

Third-party distributors serve as intermediaries in the accelerator card market, enabling manufacturers to reach a broader audience. These distributors often have established relationships with various retailers and resellers, facilitating the movement of products into different markets. By leveraging their distribution networks, third-party agents can provide manufacturers with valuable market insights and access to new customers. This channel is especially beneficial in regions where manufacturers may not have a direct presence, allowing for increased product availability and visibility. As the demand for accelerator cards continues to rise, third-party distributors will play a pivotal role in expanding market reach.

System Integrators:

System integrators are key players in the distribution of accelerator cards, as they provide integrated solutions that combine hardware and software components. These professionals work closely with clients to design and implement systems that meet specific performance and operational requirements. By incorporating accelerator cards into their solutions, system integrators enhance the capabilities of various applications, ranging from data processing to AI and machine learning. As industries continue to seek optimized solutions for complex computing challenges, system integrators will play an increasingly important role in promoting the adoption of accelerator cards within their client base.

By Ingredient Type

Graphics Processing Units:

Graphics Processing Units (GPUs) are fundamental components of many accelerator cards, specifically designed to handle visual computing and complex mathematical calculations. Their architecture allows for the parallel processing of multiple tasks simultaneously, making them ideal for gaming, video rendering, and scientific simulations. With the increasing emphasis on high-quality graphics and real-time rendering, GPU-based accelerator cards are witnessing robust demand across various sectors. The continuous advancements in GPU technology, including innovations in memory bandwidth and energy efficiency, are driving the growth of this ingredient type in the accelerator card market.

Field-Programmable Gate Arrays:

Field-Programmable Gate Arrays (FPGAs) are essential for applications that require customizable hardware solutions. FPGAs can be programmed to perform specific tasks efficiently, making them a popular choice in industries such as telecommunications, aerospace, and automotive. Their flexibility allows organizations to adapt hardware configurations as requirements change, which is particularly important in rapidly evolving markets. The ability to optimize performance for various workloads enhances the appeal of FPGA accelerator cards, contributing to their growing presence in the market.

Artificial Intelligence Processors:

Artificial Intelligence Processors are specifically designed to enhance the performance of AI applications, facilitating faster model training and inference. With the rise of deep learning and complex neural networks, the demand for AI-specific accelerator cards is on the rise. These processors leverage specialized architectures to optimize computations commonly utilized in AI algorithms, significantly improving processing speeds and efficiency. The increasing adoption of AI technologies across various industries, including healthcare, finance, and manufacturing, is propelling the growth of artificial intelligence processors in the accelerator card market.

Video Processing Units:

Video Processing Units (VPUs) are critical components in accelerator cards designed for applications that require high-performance video processing capabilities. These units are specifically optimized for handling complex video encoding and decoding tasks, making them essential for industries such as media, broadcasting, and content creation. As the demand for high-definition video content and streaming services continues to grow, the need for efficient video processing solutions is becoming increasingly important. Consequently, the integration of VPUs in accelerator cards is driving market growth in this ingredient type, as organizations seek to enhance their video production and delivery capabilities.

Network Processors:

Network Processors are integral to accelerator cards that focus on optimizing network performance and data transmission. These processors are designed to manage and process network-related tasks, enabling faster packet processing and improving overall system performance. With the increasing demand for high-speed data transfer in data centers and cloud computing environments, network processors play a crucial role in ensuring seamless connectivity and efficient resource utilization. As organizations continue to invest in networking technologies, the adoption of network processors in accelerator cards is expected to see substantial growth.

By Region

The North American region currently holds a significant share of the Accelerator Card market, accounting for over 35% of the total market share. The presence of major technology companies and a well-established infrastructure for data centers and cloud services fuel this dominance. Furthermore, the increasing investment in artificial intelligence and machine learning applications is contributing to the growth of accelerator card adoption in this region. The CAGR for the North American market is projected to be around 19% in the coming years, driven by technological advancements and the rising need for high-performance computing solutions across multiple sectors.

In contrast, the Asia Pacific region is emerging as one of the fastest-growing markets for accelerator cards, expected to witness a CAGR of approximately 22% during the forecast period. The rapid digital transformation across countries such as China, India, and Japan is driving the demand for high-performance computing solutions. Additionally, the increasing focus on AI and machine learning technologies is propelling the adoption of accelerator cards in various industries, including finance, healthcare, and manufacturing. As organizations in the region seek to enhance their computational capabilities, the Asia Pacific market is poised for significant growth in the accelerator card segment.

Opportunities

The Accelerator Card market presents numerous opportunities for growth and innovation. One significant opportunity lies in the increasing demand for AI applications across various industries. As businesses seek to implement AI-driven solutions to enhance decision-making and operational efficiency, the need for specialized hardware, such as AI Accelerator Cards, will continue to rise. Organizations are looking for more advanced computing capabilities to handle complex machine learning algorithms, driving the demand for new and enhanced accelerator card technologies. This trend presents an opportunity for manufacturers to develop innovative products tailored to meet the evolving needs of AI applications, thus positioning themselves as leaders in the accelerator card market.

Another opportunity stems from the growing focus on edge computing. As organizations aim to process data closer to its source to reduce latency and bandwidth usage, the demand for accelerator cards tailored for edge devices is increasing. This shift creates new avenues for manufacturers to develop compact and efficient accelerator card solutions designed for edge computing environments. The integration of accelerator cards into IoT devices, smart sensors, and edge servers will be crucial in enabling real-time data processing and analytics. Companies that can capitalize on this trend by offering specialized products for edge computing will likely gain a competitive advantage and capture a larger share of the market.

Threats

Despite the promising growth prospects, the Accelerator Card market faces several threats that could impact its development. One significant threat is the rapidly evolving technological landscape, which necessitates constant innovation and adaptation. Companies in the accelerator card market must continuously invest in research and development to keep pace with advancements in computing technologies. Failure to do so may result in product obsolescence or an inability to meet market demands. Additionally, the emergence of new competitors offering alternative solutions, such as cloud-based processing or specialized software optimizations, could further intensify competition, forcing existing players to reevaluate their strategies and offerings.

Another considerable restraining factor for the Accelerator Card market is the high initial investment associated with adopting advanced accelerator technologies. Many organizations, particularly small and medium enterprises, may face budget constraints that limit their ability to invest in high-performance computing solutions. This financial barrier can slow down the adoption of accelerator cards across various industries, ultimately hindering market growth. Furthermore, the complexity of integrating accelerator cards into existing systems may deter some businesses from pursuing these technologies, particularly if they lack the necessary expertise or resources to manage the transition effectively.

Competitor Outlook

• NVIDIA Corporation
• AMD (Advanced Micro Devices)
• Intel Corporation
• Xilinx, Inc. (now part of AMD)
• Google LLC (TPU)
• IBM Corporation
• Amazon Web Services (Inferentia)
• Microsoft Corporation
• Marvell Technology Group Ltd.
• Broadcom Inc.
• Qualcomm Incorporated
• Micron Technology, Inc.
• Graphcore Limited
• Tenstorrent Inc.
• Hewlett Packard Enterprise (HPE)

The competitive landscape of the Accelerator Card market is characterized by a diverse set of players, ranging from established technology giants to emerging startups. These companies are constantly innovating and adapting to the rapid changes in computing technologies to maintain their market positions. Major players like NVIDIA and AMD dominate the GPU segment, offering cutting-edge graphics processing solutions that cater to a wide array of applications, including gaming, AI, and data centers. NVIDIA, in particular, has been at the forefront of AI accelerator technologies, gaining significant market share due to its powerful GPU architectures tailored for deep learning and machine learning workloads.

Intel Corporation is another key player in the accelerator card market, focusing on developing specialized processors and FPGAs to enhance computing capabilities. With its acquisition of Altera, Intel has strengthened its position in the FPGA segment, providing flexible solutions for various industries, including telecommunications and automotive. The company's continuous investment in research and development ensures its competitiveness in the rapidly evolving landscape of accelerator technologies. Additionally, as cloud service providers like Amazon and Microsoft expand their infrastructure, they are integrating proprietary accelerator technologies to improve efficiency and performance, further intensifying competition in the market.

Emerging companies such as Graphcore and Tenstorrent are also making significant strides in the market by developing innovative AI processors designed to optimize performance for machine learning applications. These startups bring fresh perspectives and cutting-edge technologies to the accelerator card landscape, challenging established players to continuously innovate. As the demand for high-performance computing solutions rises, a dynamic competitive environment is expected to unfold, with companies striving to differentiate themselves through technological advancements, customer-centric solutions, and strategic partnerships.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 Broadcom Inc.
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 IBM Corporation
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Google LLC (TPU)
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Tenstorrent Inc.
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Graphcore Limited
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Intel Corporation
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 NVIDIA Corporation
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Microsoft Corporation
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Qualcomm Incorporated
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Micron Technology, Inc.
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 AMD (Advanced Micro Devices)
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Marvell Technology Group Ltd.
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Xilinx, Inc. (now part of AMD)
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Amazon Web Services (Inferentia)
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Hewlett Packard Enterprise (HPE)
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Accelerator Card Market, By Application
    • 6.1.1 Data Centers
    • 6.1.2 Cloud Computing
    • 6.1.3 High-Performance Computing
    • 6.1.4 Artificial Intelligence
    • 6.1.5 Edge Computing
  • 6.2 Accelerator Card Market, By Ingredient Type
    • 6.2.1 Graphics Processing Units
    • 6.2.2 Field-Programmable Gate Arrays
    • 6.2.3 Artificial Intelligence Processors
    • 6.2.4 Video Processing Units
    • 6.2.5 Network Processors
  • 6.3 Accelerator Card Market, By Distribution Channel
    • 6.3.1 Online Stores
    • 6.3.2 Electronics Retailers
    • 6.3.3 Direct Sales
    • 6.3.4 Third-Party Distributors
    • 6.3.5 System Integrators

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Accelerator Card Market by Region
  • 10.6 Middle East & Africa - Market Analysis
    • 10.6.1 By Country
      • 10.6.1.1 Middle East
      • 10.6.1.2 Africa

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Accelerator Card market is categorized based on

By Application

• Data Centers
• Cloud Computing
• High-Performance Computing
• Artificial Intelligence
• Edge Computing

By Distribution Channel

• Online Stores
• Electronics Retailers
• Direct Sales
• Third-Party Distributors
• System Integrators

By Ingredient Type

• Graphics Processing Units
• Field-Programmable Gate Arrays
• Artificial Intelligence Processors
• Video Processing Units
• Network Processors

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• NVIDIA Corporation
• AMD (Advanced Micro Devices)
• Intel Corporation
• Xilinx, Inc. (now part of AMD)
• Google LLC (TPU)
• IBM Corporation
• Amazon Web Services (Inferentia)
• Microsoft Corporation
• Marvell Technology Group Ltd.
• Broadcom Inc.
• Qualcomm Incorporated
• Micron Technology, Inc.
• Graphcore Limited
• Tenstorrent Inc.
• Hewlett Packard Enterprise (HPE)