Industry Research Reports

Home > Reports > Electronics & Semiconductor > Global AI GPU Market Research Report 2026

Global AI GPU Market Research Report 2026

Industry: Electronics & Semiconductor

Published Date: 2026-01-05

Pages: 145 Pages

Report ld: 5575673

Request Sample

Customized Report

Description
Table of Contents
Table of Figures
Related Reports
PDF Download

Description
Table of Contents
Table of Figures
Related Reports
PDF Download

Industry Insights:

AI GPU Research:CAGR of 43% during the forecast period

AI GPU Market Size(US$)

CAGR 2026-2032

35.8%

Market Size,2032

USD 1,001,190

Million

Market Snapshot

Market Size in 2026 (Value)

US$ 159,630 million

Market Forecast in 2032(Value)

US$ 1,001,190 million

CAGR

35.8%

Years Considered

2021-2032

Base Year

2026

Forecast Period

2026-2032

Source: Secondary research, interviews with experts, and QYResearch analysis

The global AI GPU market was valued at US$ 120730 million in 2025 and is anticipated to reach US$ 1001190 million by 2032, at a CAGR of 35.8% from 2026 to 2032.

The 2025 U.S. tariff policies introduce profound uncertainty into the global economic landscape. This report critically examines the implications of recent tariff adjustments and international strategic countermeasures on AI GPU competitive dynamics, regional economic interdependencies, and supply chain reconfigurations.

In 2024, the global AI GPU production will be around 10.442 million units, with an average price of US$8,200 per unit.

Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms.

AI chips mainly include GPU, TPU, FPGA, ASIC, etc.

GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU.

The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms.

This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency.

The AI GPU application scenarios in this article include AI training and reasoning in data centers, edge AI, and cloud computing AI.

With the rapid development of large models and generative AI, AI GPUs are the core engine supporting computing infrastructure. The market is moving from single-purpose training or inference acceleration to a new stage of integrated development of training, inference, and training-inference. From supercomputing centers to cloud computing platforms, to edge devices and smart terminals, AI GPUs are building an integrated "cloud-edge-end" computing network, making AI as readily available as water and electricity. With compatibility with mainstream ecosystems, a unified software stack, and continuously iterating hardware architecture, AI GPUs not only significantly lower the development and migration threshold, but also significantly improve efficiency through mixed-precision computing and distributed parallelism, helping customers quickly implement large models while maintaining manageable costs. Globally, the leading AI GPU companies are NVIDIA, AMD, and Moore Threads, with NVIDIA holding over 80% market share.

This report delivers a comprehensive overview of the global AI GPU market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI GPU. The AI GPU market size, estimates, and forecasts are provided in terms of shipments (K Units) and revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.

The report segments the global AI GPU market comprehensively. Regional market sizes by Type, by Application, , and by company are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.

This report will assist AI GPU manufacturers, new entrants, and companies across the industry value chain with information on revenues, production, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.

MARKET SEGMENTATION

By Company

NVIDIA
AMD
Intel
Shanghai Denglin
Vastai Technologies
Shanghai Iluvatar
Metax Tech
Moore Threads
BIRENTECH
Innosilicon
Shenzhen Siroywe
Lisuan Technology
Glenfly Tech Co., Ltd
Sietium
Hygon Information Technology

Consumption by Region

North America
- United States
- Canada
Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
Latin America
- Mexico
- Brazil
- Rest of Latin America
Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA

Segment by Type

AI Training GPU
AI Inference GPU
Edge & Endpoint AI GPU

Segment by Application

Data Center
Enterprises
HPC & Academia

biaoTi CHAPTER OUTLINE

Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, , etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.

Chapter 2: Provides a detailed analysis of the competitive landscape for AI GPU manufacturers, including prices, production, value-based market shares, latest development plans, and information on mergers and acquisitions.

Chapter 3: Examines AI GPU production/output and value by region and country, providing a quantitative assessment of market size and growth potential for each region over the next six years.

Chapter 4: Analyzes AI GPU consumption at the regional and country levels. It quantifies market size and growth potential for each region and its key countries, and outlines market development, outlook, addressable space, and national production.

Chapter 5: Analyzes market segments by Type, covering the size and growth potential of each segment to help readers identify “blue ocean” opportunities.

Chapter 6: Analyzes market segments by Application, covering the size and growth potential of each segment to help readers identify “blue ocean” opportunities in downstream markets.

Chapter 7: Profiles key players, detailing the fundamentals of major companies, including product production/output, value, price, gross margin, product portfolio/introductions, and recent developments.

Chapter 8: Reviews the industry value chain, including upstream and downstream segments.

Chapter 9: Discusses market dynamics and recent developments, including drivers, restraints, challenges and risks for manufacturers, U.S. Tariffs and relevant policy analysis.

Chapter 10: Summarizes the key findings and conclusions of the report.

biaoTi QYRESEARCH'S STRENGTHS

Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:

Market entry risks/opportunities by region

We identify regional market threats and growth prospects to guide your overseas layout.

Product mix optimization based on local practices

We adjust product portfolios in line with local consumption habits.

Competitor tactics in fragmented vs. consolidated markets

We unpack rivals’ operation strategies for scattered and highly concentrated industries.

Full Research Coverage

We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.

19 Years Industry Expertise

We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.

24/7 Fast Report Delivery

Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.

Localized Strategic Analysis

We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.

Market entry risks/opportunities by region

All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.

Market entry risks/opportunities by region

We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.

TABLE OF CONTENTS

1 AI GPU Market Overview

1.1 Product Definition

1.2 AI GPU by Type

1.2.1 Global AI GPU Market Value Growth Rate Analysis by Type: 2025 vs 2032

1.2.2 AI Training GPU

1.2.3 AI Inference GPU

1.2.4 Edge & Endpoint AI GPU

1.3 AI GPU by Application

1.3.1 Global AI GPU Market Value Growth Rate Analysis by Application: 2025 vs 2032

1.3.2 Data Center

1.3.3 Enterprises

1.3.4 HPC & Academia

1.4 Global Market Growth Prospects

1.4.1 Global AI GPU Production Value Estimates and Forecasts (2021–2032)

1.4.2 Global AI GPU Production Capacity Estimates and Forecasts (2021–2032)

1.4.3 Global AI GPU Production Estimates and Forecasts (2021–2032)

1.4.4 Global AI GPU Market Average Price Estimates and Forecasts (2021–2032)

1.5 Assumptions and Limitations

2 Market Competition by Manufacturers

2.1 Global AI GPU Production Market Share by Manufacturers (2021–2026)

2.2 Global AI GPU Production Value Market Share by Manufacturers (2021–2026)

2.3 Global Key Players of AI GPU, Industry Ranking, 2024 vs 2025

2.4 Global AI GPU Market Share by Company Tier (Tier 1, Tier 2, Tier 3)

2.5 Global AI GPU Average Price by Manufacturers (2021–2026)

2.6 Global Key Manufacturers of AI GPU, Manufacturing Footprints and Headquarters

2.7 Global Key Manufacturers of AI GPU, Product Offerings and Applications

2.8 Global Key Manufacturers of AI GPU, Date of Entry into the Industry

2.9 AI GPU Market Competitive Situation and Trends

2.9.1 AI GPU Market Concentration Rate

2.9.2 Top 5 and Top 10 Global AI GPU Players Market Share by Revenue

2.10 Mergers & Acquisitions and Expansion

3 AI GPU Production by Region

3.1 Global AI GPU Production Value Estimates and Forecasts by Region: 2021 vs 2025 vs 2032

3.2 Global AI GPU Production Value by Region (2021–2032)

3.2.1 Global AI GPU Production Value by Region (2021–2026)

3.2.2 Global Forecasted Production Value of AI GPU by Region (2027–2032)

3.3 Global AI GPU Production Estimates and Forecasts by Region: 2021 vs 2025 vs 2032

3.4 Global AI GPU Production Volume by Region (2021–2032)

3.4.1 Global AI GPU Production by Region (2021–2026)

3.4.2 Global Forecasted Production of AI GPU by Region (2027–2032)

3.5 Global AI GPU Market Price Analysis by Region (2021–2026)

3.6 Global AI GPU Production, Value, and Year-over-Year Growth

3.6.1 North America AI GPU Production Value Estimates and Forecasts (2021–2032)

3.6.2 Europe AI GPU Production Value Estimates and Forecasts (2021–2032)

3.6.3 China AI GPU Production Value Estimates and Forecasts (2021–2032)

3.6.4 Japan AI GPU Production Value Estimates and Forecasts (2021–2032)

3.6.5 South Korea AI GPU Production Value Estimates and Forecasts (2021–2032)

4 AI GPU Consumption by Region

4.1 Global AI GPU Consumption Estimates and Forecasts by Region: 2021 vs 2025 vs 2032

4.2 Global AI GPU Consumption by Region (2021–2032)

4.2.1 Global AI GPU Consumption by Region (2021–2026)

4.2.2 Global AI GPU Forecasted Consumption by Region (2027–2032)

4.3 North America

4.3.1 North America AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032

4.3.2 North America AI GPU Consumption by Country (2021–2032)

4.3.3 U.S.

4.3.4 Canada

4.4 Europe

4.4.1 Europe AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032

4.4.2 Europe AI GPU Consumption by Country (2021–2032)

4.4.3 Germany

4.4.4 France

4.4.5 U.K.

4.4.6 Italy

4.4.7 Russia

4.5 Asia Pacific

4.5.1 Asia Pacific AI GPU Consumption Growth Rate by Region: 2021 vs 2025 vs 2032

4.5.2 Asia Pacific AI GPU Consumption by Region (2021–2032)

4.5.3 China

4.5.4 Japan

4.5.5 South Korea

4.5.6 China Taiwan

4.5.7 Southeast Asia

4.5.8 India

4.6 Latin America, Middle East & Africa

4.6.1 Latin America, Middle East & Africa AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032

4.6.2 Latin America, Middle East & Africa AI GPU Consumption by Country (2021–2032)

4.6.3 Mexico

4.6.4 Brazil

4.6.5 Israel

4.6.6 GCC Countries

5 Segment by Type

5.1 Global AI GPU Production by Type (2021–2032)

5.1.1 Global AI GPU Production by Type (2021–2026)

5.1.2 Global AI GPU Production by Type (2027–2032)

5.1.3 Global AI GPU Production Market Share by Type (2021–2032)

5.2 Global AI GPU Production Value by Type (2021–2032)

5.2.1 Global AI GPU Production Value by Type (2021–2026)

5.2.2 Global AI GPU Production Value by Type (2027–2032)

5.2.3 Global AI GPU Production Value Market Share by Type (2021–2032)

5.3 Global AI GPU Price by Type (2021–2032)

6 Segment by Application

6.1 Global AI GPU Production by Application (2021–2032)

6.1.1 Global AI GPU Production by Application (2021–2026)

6.1.2 Global AI GPU Production by Application (2027–2032)

6.1.3 Global AI GPU Production Market Share by Application (2021–2032)

6.2 Global AI GPU Production Value by Application (2021–2032)

6.2.1 Global AI GPU Production Value by Application (2021–2026)

6.2.2 Global AI GPU Production Value by Application (2027–2032)

6.2.3 Global AI GPU Production Value Market Share by Application (2021–2032)

6.3 Global AI GPU Price by Application (2021–2032)

7 Key Companies Profiled

7.1 NVIDIA

7.1.1 NVIDIA AI GPU Company Information

7.1.2 NVIDIA AI GPU Product Portfolio

7.1.3 NVIDIA AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.1.4 NVIDIA Main Business and Markets Served

7.1.5 NVIDIA Recent Developments/Updates

7.2 AMD

7.2.1 AMD AI GPU Company Information

7.2.2 AMD AI GPU Product Portfolio

7.2.3 AMD AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.2.4 AMD Main Business and Markets Served

7.2.5 AMD Recent Developments/Updates

7.3 Intel

7.3.1 Intel AI GPU Company Information

7.3.2 Intel AI GPU Product Portfolio

7.3.3 Intel AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.3.4 Intel Main Business and Markets Served

7.3.5 Intel Recent Developments/Updates

7.4 Shanghai Denglin

7.4.1 Shanghai Denglin AI GPU Company Information

7.4.2 Shanghai Denglin AI GPU Product Portfolio

7.4.3 Shanghai Denglin AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.4.4 Shanghai Denglin Main Business and Markets Served

7.4.5 Shanghai Denglin Recent Developments/Updates

7.5 Vastai Technologies

7.5.1 Vastai Technologies AI GPU Company Information

7.5.2 Vastai Technologies AI GPU Product Portfolio

7.5.3 Vastai Technologies AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.5.4 Vastai Technologies Main Business and Markets Served

7.5.5 Vastai Technologies Recent Developments/Updates

7.6 Shanghai Iluvatar

7.6.1 Shanghai Iluvatar AI GPU Company Information

7.6.2 Shanghai Iluvatar AI GPU Product Portfolio

7.6.3 Shanghai Iluvatar AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.6.4 Shanghai Iluvatar Main Business and Markets Served

7.6.5 Shanghai Iluvatar Recent Developments/Updates

7.7 Metax Tech

7.7.1 Metax Tech AI GPU Company Information

7.7.2 Metax Tech AI GPU Product Portfolio

7.7.3 Metax Tech AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.7.4 Metax Tech Main Business and Markets Served

7.7.5 Metax Tech Recent Developments/Updates

7.8 Moore Threads

7.8.1 Moore Threads AI GPU Company Information

7.8.2 Moore Threads AI GPU Product Portfolio

7.8.3 Moore Threads AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.8.4 Moore Threads Main Business and Markets Served

7.8.5 Moore Threads Recent Developments/Updates

7.9 BIRENTECH

7.9.1 BIRENTECH AI GPU Company Information

7.9.2 BIRENTECH AI GPU Product Portfolio

7.9.3 BIRENTECH AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.9.4 BIRENTECH Main Business and Markets Served

7.9.5 BIRENTECH Recent Developments/Updates

7.10 Innosilicon

7.10.1 Innosilicon AI GPU Company Information

7.10.2 Innosilicon AI GPU Product Portfolio

7.10.3 Innosilicon AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.10.4 Innosilicon Main Business and Markets Served

7.10.5 Innosilicon Recent Developments/Updates

7.11 Shenzhen Siroywe

7.11.1 Shenzhen Siroywe AI GPU Company Information

7.11.2 Shenzhen Siroywe AI GPU Product Portfolio

7.11.3 Shenzhen Siroywe AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.11.4 Shenzhen Siroywe Main Business and Markets Served

7.11.5 Shenzhen Siroywe Recent Developments/Updates

7.12 Lisuan Technology

7.12.1 Lisuan Technology AI GPU Company Information

7.12.2 Lisuan Technology AI GPU Product Portfolio

7.12.3 Lisuan Technology AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.12.4 Lisuan Technology Main Business and Markets Served

7.12.5 Lisuan Technology Recent Developments/Updates

7.13 Glenfly Tech Co., Ltd

7.13.1 Glenfly Tech Co., Ltd AI GPU Company Information

7.13.2 Glenfly Tech Co., Ltd AI GPU Product Portfolio

7.13.3 Glenfly Tech Co., Ltd AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.13.4 Glenfly Tech Co., Ltd Main Business and Markets Served

7.13.5 Glenfly Tech Co., Ltd Recent Developments/Updates

7.14 Sietium

7.14.1 Sietium AI GPU Company Information

7.14.2 Sietium AI GPU Product Portfolio

7.14.3 Sietium AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.14.4 Sietium Main Business and Markets Served

7.14.5 Sietium Recent Developments/Updates

7.15 Hygon Information Technology

7.15.1 Hygon Information Technology AI GPU Company Information

7.15.2 Hygon Information Technology AI GPU Product Portfolio

7.15.3 Hygon Information Technology AI GPU Production, Value, Price, and Gross Margin (2021–2026)

7.15.4 Hygon Information Technology Main Business and Markets Served

7.15.5 Hygon Information Technology Recent Developments/Updates

8 Industry Chain and Sales Channels Analysis

8.1 AI GPU Industry Chain Analysis

8.2 AI GPU Raw Material Supply Analysis

8.2.1 Key Raw Materials

8.2.2 Raw Materials Key Suppliers

8.3 AI GPU Production Modes and Processes

8.4 AI GPU Sales and Marketing

8.4.1 AI GPU Sales Channels

8.4.2 AI GPU Distributors

8.5 AI GPU Customer Analysis

9 AI GPU Market Dynamics

9.1 AI GPU Industry Trends

9.2 AI GPU Market Drivers

9.3 AI GPU Market Challenges

9.4 AI GPU Market Restraints

9.5 Impact of U.S. Tariffs

10 Research Findings and Conclusion

11 Methodology and Data Source

11.1 Methodology/Research Approach

11.1.1 Research Programs/Design

11.1.2 Market Size Estimation

11.1.3 Market Breakdown and Data Triangulation

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Author List

11.4 Disclaimer

TABLE OF FIGURES

List of Tables

Table 1. Global AI GPU Market Value by Type (US$ Million), 2025 vs 2032

Table 2. Global AI GPU Market Value by Application (US$ Million), 2025 vs 2032

Table 3. Global AI GPU Production Capacity (K Units) by Manufacturers in 2025

Table 4. Global AI GPU Production by Manufacturers (K Units), 2021–2026

Table 5. Global AI GPU Production Market Share by Manufacturers (2021–2026)

Table 6. Global AI GPU Production Value by Manufacturers (US$ Million), 2021–2026

Table 7. Global AI GPU Production Value Share by Manufacturers (2021–2026)

Table 8. Global Key Players of AI GPU, Industry Ranking, 2024 vs 2025

Table 9. Classification of Companies by Tier (Tier 1, Tier 2, Tier 3), based on AI GPU Production Value, 2025

Table 10. Global Market AI GPU Average Price by Manufacturers (US$/Unit), 2021–2026

Table 11. Global Key Manufacturers of AI GPU, Manufacturing Footprints and Headquarters

Table 12. Global Key Manufacturers of AI GPU, Product Offerings and Applications

Table 13. Global Key Manufacturers of AI GPU, Date of Entry into the Industry

Table 14. Global AI GPU Manufacturers Market Concentration Ratio (CR5 and HHI)

Table 15. Mergers & Acquisitions and Expansion Plans

Table 16. Global AI GPU Production Value by Region: 2021 vs 2025 vs 2032 (US$ Million)

Table 17. Global AI GPU Production Value (US$ Million) by Region (2021–2026)

Table 18. Global AI GPU Production Value Market Share by Region (2021–2026)

Table 19. Global AI GPU Production Value (US$ Million) Forecast by Region (2027–2032)

Table 20. Global AI GPU Production Value Market Share Forecast by Region (2027–2032)

Table 21. Global AI GPU Production Comparison by Region: 2021 vs 2025 vs 2032 (K Units)

Table 22. Global AI GPU Production (K Units) by Region (2021–2026)

Table 23. Global AI GPU Production Market Share by Region (2021–2026)

Table 24. Global AI GPU Production (K Units) Forecast by Region (2027–2032)

Table 25. Global AI GPU Production Market Share Forecast by Region (2027–2032)

Table 26. Global AI GPU Market Average Price (US$/Unit) by Region (2021–2026)

Table 27. Global AI GPU Market Average Price (US$/Unit) by Region (2027–2032)

Table 28. Global AI GPU Consumption Growth Rate by Region: 2021 vs 2025 vs 2032 (K Units)

Table 29. Global AI GPU Consumption by Region (K Units), 2021–2026

Table 30. Global AI GPU Consumption Market Share by Region (2021–2026)

Table 31. Global AI GPU Forecasted Consumption by Region (K Units), 2027–2032

Table 32. Global AI GPU Forecasted Consumption Market Share by Region (2027–2032)

Table 33. North America AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032 (K Units)

Table 34. North America AI GPU Consumption by Country (K Units), 2021–2026

Table 35. North America AI GPU Consumption by Country (K Units), 2027–2032

Table 36. Europe AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032 (K Units)

Table 37. Europe AI GPU Consumption by Country (K Units), 2021–2026

Table 38. Europe AI GPU Consumption by Country (K Units), 2027–2032

Table 39. Asia Pacific AI GPU Consumption Growth Rate by Region: 2021 vs 2025 vs 2032 (K Units)

Table 40. Asia Pacific AI GPU Consumption by Region (K Units), 2021–2026

Table 41. Asia Pacific AI GPU Consumption by Region (K Units), 2027–2032

Table 42. Latin America, Middle East & Africa AI GPU Consumption Growth Rate by Country: 2021 vs 2025 vs 2032 (K Units)

Table 43. Latin America, Middle East & Africa AI GPU Consumption by Country (K Units), 2021–2026

Table 44. Latin America, Middle East & Africa AI GPU Consumption by Country (K Units), 2027–2032

Table 45. Global AI GPU Production (K Units) by Type (2021–2026)

Table 46. Global AI GPU Production (K Units) by Type (2027–2032)

Table 47. Global AI GPU Production Market Share by Type (2021–2026)

Table 48. Global AI GPU Production Market Share by Type (2027–2032)

Table 49. Global AI GPU Production Value (US$ Million) by Type (2021–2026)

Table 50. Global AI GPU Production Value (US$ Million) by Type (2027–2032)

Table 51. Global AI GPU Production Value Market Share by Type (2021–2026)

Table 52. Global AI GPU Production Value Market Share by Type (2027–2032)

Table 53. Global AI GPU Price (US$/Unit) by Type (2021–2026)

Table 54. Global AI GPU Price (US$/Unit) by Type (2027–2032)

Table 55. Global AI GPU Production (K Units) by Application (2021–2026)

Table 56. Global AI GPU Production (K Units) by Application (2027–2032)

Table 57. Global AI GPU Production Market Share by Application (2021–2026)

Table 58. Global AI GPU Production Market Share by Application (2027–2032)

Table 59. Global AI GPU Production Value (US$ Million) by Application (2021–2026)

Table 60. Global AI GPU Production Value (US$ Million) by Application (2027–2032)

Table 61. Global AI GPU Production Value Market Share by Application (2021–2026)

Table 62. Global AI GPU Production Value Market Share by Application (2027–2032)

Table 63. Global AI GPU Price (US$/Unit) by Application (2021–2026)

Table 64. Global AI GPU Price (US$/Unit) by Application (2027–2032)

Table 65. NVIDIA AI GPU Company Information

Table 66. NVIDIA AI GPU Specification and Application

Table 67. NVIDIA AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 68. NVIDIA Main Business and Markets Served

Table 69. NVIDIA Recent Developments/Updates

Table 70. AMD AI GPU Company Information

Table 71. AMD AI GPU Specification and Application

Table 72. AMD AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 73. AMD Main Business and Markets Served

Table 74. AMD Recent Developments/Updates

Table 75. Intel AI GPU Company Information

Table 76. Intel AI GPU Specification and Application

Table 77. Intel AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 78. Intel Main Business and Markets Served

Table 79. Intel Recent Developments/Updates

Table 80. Shanghai Denglin AI GPU Company Information

Table 81. Shanghai Denglin AI GPU Specification and Application

Table 82. Shanghai Denglin AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 83. Shanghai Denglin Main Business and Markets Served

Table 84. Shanghai Denglin Recent Developments/Updates

Table 85. Vastai Technologies AI GPU Company Information

Table 86. Vastai Technologies AI GPU Specification and Application

Table 87. Vastai Technologies AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 88. Vastai Technologies Main Business and Markets Served

Table 89. Vastai Technologies Recent Developments/Updates

Table 90. Shanghai Iluvatar AI GPU Company Information

Table 91. Shanghai Iluvatar AI GPU Specification and Application

Table 92. Shanghai Iluvatar AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 93. Shanghai Iluvatar Main Business and Markets Served

Table 94. Shanghai Iluvatar Recent Developments/Updates

Table 95. Metax Tech AI GPU Company Information

Table 96. Metax Tech AI GPU Specification and Application

Table 97. Metax Tech AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 98. Metax Tech Main Business and Markets Served

Table 99. Metax Tech Recent Developments/Updates

Table 100. Moore Threads AI GPU Company Information

Table 101. Moore Threads AI GPU Specification and Application

Table 102. Moore Threads AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 103. Moore Threads Main Business and Markets Served

Table 104. Moore Threads Recent Developments/Updates

Table 105. BIRENTECH AI GPU Company Information

Table 106. BIRENTECH AI GPU Specification and Application

Table 107. BIRENTECH AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 108. BIRENTECH Main Business and Markets Served

Table 109. BIRENTECH Recent Developments/Updates

Table 110. Innosilicon AI GPU Company Information

Table 111. Innosilicon AI GPU Specification and Application

Table 112. Innosilicon AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 113. Innosilicon Main Business and Markets Served

Table 114. Innosilicon Recent Developments/Updates

Table 115. Shenzhen Siroywe AI GPU Company Information

Table 116. Shenzhen Siroywe AI GPU Specification and Application

Table 117. Shenzhen Siroywe AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 118. Shenzhen Siroywe Main Business and Markets Served

Table 119. Shenzhen Siroywe Recent Developments/Updates

Table 120. Lisuan Technology AI GPU Company Information

Table 121. Lisuan Technology AI GPU Specification and Application

Table 122. Lisuan Technology AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 123. Lisuan Technology Main Business and Markets Served

Table 124. Lisuan Technology Recent Developments/Updates

Table 125. Glenfly Tech Co., Ltd AI GPU Company Information

Table 126. Glenfly Tech Co., Ltd AI GPU Specification and Application

Table 127. Glenfly Tech Co., Ltd AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 128. Glenfly Tech Co., Ltd Main Business and Markets Served

Table 129. Glenfly Tech Co., Ltd Recent Developments/Updates

Table 130. Sietium AI GPU Company Information

Table 131. Sietium AI GPU Specification and Application

Table 132. Sietium AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 133. Sietium Main Business and Markets Served

Table 134. Sietium Recent Developments/Updates

Table 135. Hygon Information Technology AI GPU Company Information

Table 136. Hygon Information Technology AI GPU Specification and Application

Table 137. Hygon Information Technology AI GPU Production (K Units), Value (US$ Million), Price (US$/Unit) and Gross Margin (2021–2026)

Table 138. Hygon Information Technology Main Business and Markets Served

Table 139. Hygon Information Technology Recent Developments/Updates

Table 140. Key Raw Materials Lists

Table 141. Raw Materials Key Suppliers Lists

Table 142. AI GPU Distributors List

Table 143. AI GPU Customers List

Table 144. AI GPU Market Trends

Table 145. AI GPU Market Drivers

Table 146. AI GPU Market Challenges

Table 147. AI GPU Market Restraints

Table 148. Research Programs/Design for This Report

Table 149. Key Data Information from Secondary Sources

Table 150. Key Data Information from Primary Sources

Table 151. Authors List of This Report

List of Figures

Figure 1. Product Picture of AI GPU

Figure 2. Global AI GPU Market Value by Type (US$ Million), 2021–2032

Figure 3. Global AI GPU Market Share by Type: 2025 vs 2032

Figure 4. AI Training GPU Product Picture

Figure 5. AI Inference GPU Product Picture

Figure 6. Edge & Endpoint AI GPU Product Picture

Figure 7. Global AI GPU Market Value by Application (US$ Million), 2021–2032

Figure 8. Global AI GPU Market Share by Application: 2025 vs 2032

Figure 9. Data Center

Figure 10. Enterprises

Figure 11. HPC & Academia

Figure 12. Global AI GPU Production Value (US$ Million), 2021 vs 2025 vs 2032

Figure 13. Global AI GPU Production Value (US$ Million), 2021–2032

Figure 14. Global AI GPU Production Capacity (K Units), 2021–2032

Figure 15. Global AI GPU Production (K Units), 2021–2032

Figure 16. Global AI GPU Average Price (US$/Unit), 2021–2032

Figure 17. AI GPU Report Years Considered

Figure 18. AI GPU Production Share by Manufacturers in 2025

Figure 19. Global AI GPU Production Value Share by Manufacturers (2025)

Figure 20. AI GPU Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2021 vs 2025

Figure 21. Top 5 and Top 10 Global Players: Market Share by AI GPU Revenue in 2025

Figure 22. Global AI GPU Production Value by Region: 2021 vs 2025 vs 2032 (US$ Million)

Figure 23. Global AI GPU Production Value Market Share by Region: 2021 vs 2025 vs 2032

Figure 24. Global AI GPU Production Comparison by Region: 2021 vs 2025 vs 2032 (K Units)

Figure 25. Global AI GPU Production Market Share by Region: 2021 vs 2025 vs 2032

Figure 26. North America AI GPU Production Value (US$ Million) Growth Rate (2021–2032)

Figure 27. Europe AI GPU Production Value (US$ Million) Growth Rate (2021–2032)

Figure 28. China AI GPU Production Value (US$ Million) Growth Rate (2021–2032)

Figure 29. Japan AI GPU Production Value (US$ Million) Growth Rate (2021–2032)

Figure 30. South Korea AI GPU Production Value (US$ Million) Growth Rate (2021–2032)

Figure 31. Global AI GPU Consumption by Region: 2021 vs 2025 vs 2032 (K Units)

Figure 32. Global AI GPU Consumption Market Share by Region: 2021 vs 2025 vs 2032

Figure 33. North America AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 34. North America AI GPU Consumption Market Share by Country (2021–2032)

Figure 35. U.S. AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 36. Canada AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 37. Europe AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 38. Europe AI GPU Consumption Market Share by Country (2021–2032)

Figure 39. Germany AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 40. France AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 41. U.K. AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 42. Italy AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 43. Russia AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 44. Asia Pacific AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 45. Asia Pacific AI GPU Consumption Market Share by Region (2021–2032)

Figure 46. China AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 47. Japan AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 48. South Korea AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 49. China Taiwan AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 50. Southeast Asia AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 51. India AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 52. Latin America, Middle East & Africa AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 53. Latin America, Middle East & Africa AI GPU Consumption Market Share by Country (2021–2032)

Figure 54. Mexico AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 55. Brazil AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 56. Israel AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 57. GCC Countries AI GPU Consumption and Growth Rate (K Units), 2021–2032

Figure 58. Global Production Market Share of AI GPU by Type (2021–2032)

Figure 59. Global Production Value Market Share of AI GPU by Type (2021–2032)

Figure 60. Global AI GPU Price (US$/Unit) by Type (2021–2032)

Figure 61. Global Production Market Share of AI GPU by Application (2021–2032)

Figure 62. Global Production Value Market Share of AI GPU by Application (2021–2032)

Figure 63. Global AI GPU Price (US$/Unit) by Application (2021–2032)

Figure 64. AI GPU Value Chain

Figure 65. Channels of Distribution (Direct Vs Distribution)

Figure 66. Bottom-up and Top-down Approaches for This Report

Figure 67. Data Triangulation

KEY QUESTIONS ADDRESSED BY THE REPORT

Which companies rank high in the global AI GPU market? zhanKai

The top companies in the global AI GPU market are NVIDIA、AMD、Intel.

What was the global market size of AI GPU in 2032? shouQi

What was the global market size of AI GPU in 2026? shouQi

Which region is expected to have the highest market share? shouQi

What is the annual compound growth rate of the global AI GPU market size from 2026 to 2032? shouQi

Related Reports

Global AI GPU Sales Market Report, Competitive Analysis and Regional Opportunities 2026-2032
The global AI GPU market size was US$ 120730 million in 2025 and is forecast to reach a readjusted size of US$ 1001190 million by 2032 with a CAGR of 35.8% during the forecast period 2026-2032.
Published Date: 2026-01-05
Pages: 92
USD 4250.00
(Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032
The global market for AI GPU was estimated to be worth US$ 120730 million in 2025 and is projected to reach US$ 1001190 million, growing at a CAGR of 35.8% from 2026 to 2032.
Published Date: 2026-01-05
Pages: 128
USD 3950.00
(Single User License)
AI GPU - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
The global market for AI GPU was estimated to be worth US$ 85625 million in 2024 and is forecast to a readjusted size of US$ 757212 million by 2031 with a CAGR of 35.8% during the forecast period 2025-2031.
Published Date: 2025-10-15
Pages: 115
USD 3950.00
(Single User License)
Global AI GPU Sales Market Report, Competitive Analysis and Regional Opportunities 2025-2031
The global AI GPU market size was US$ 85625 million in 2024 and is forecast to a readjusted size of US$ 757212 million by 2031 with a CAGR of 35.8% during the forecast period 2025-2031.
Published Date: 2025-09-10
Pages: 100
USD 4250.00
(Single User License)
Global AI GPU Market Outlook, In‑Depth Analysis & Forecast to 2031
The global AI GPU market is projected to grow from US$ 85625 million in 2024 to US$ 757212 million by 2031, at a CAGR of 35.8% (2025-2031), driven by critical product segments and diverse end‑use applications, while evolving U.S. tariff policies introduce trade‑cost volatility and supply‑chain uncertainty.
Published Date: 2025-09-10
Pages: 170
USD 4900.00
(Single User License)
Global AI GPU Market Research Report 2025
The global market for AI GPU was valued at US$ 85625 million in the year 2024 and is projected to reach a revised size of US$ 757212 million by 2031, growing at a CAGR of 35.8% during the forecast period.
Published Date: 2025-09-10
Pages: 102
USD 2900.00
(Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
The global market for AI GPU was estimated to be worth US$ 74970 million in 2024 and is forecast to a readjusted size of US$ 476220 million by 2031 with a CAGR of 30.7% during the forecast period 2025-2031.
Published Date: 2025-01-19
Pages: 107
USD 3950.00
(Single User License)
Global and China AI GPU Market Report & Forecast 2024-2030
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published Date: 2024-05-17
Pages: 109
USD 4350.00
(Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published Date: 2024-05-17
Pages: 97
USD 3950.00
(Single User License)
Global AI GPU Market Research Report 2024
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published Date: 2024-05-17
Pages: 86
USD 2900.00
(Single User License)

Global AI GPU Sales Market Report, Competitive Analysis and Regional Opportunities 2026-2032
The global AI GPU market size was US$ 120730 million in 2025 and is forecast to reach a readjusted size of US$ 1001190 million by 2032 with a CAGR of 35.8% during the forecast period 2026-2032.
Published: 2026-01-05
Pages: 92
USD 4250.00 (Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032
The global market for AI GPU was estimated to be worth US$ 120730 million in 2025 and is projected to reach US$ 1001190 million, growing at a CAGR of 35.8% from 2026 to 2032.
Published: 2026-01-05
Pages: 128
USD 3950.00 (Single User License)
AI GPU - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
The global market for AI GPU was estimated to be worth US$ 85625 million in 2024 and is forecast to a readjusted size of US$ 757212 million by 2031 with a CAGR of 35.8% during the forecast period 2025-2031.
Published: 2025-10-15
Pages: 115
USD 3950.00 (Single User License)
Global AI GPU Sales Market Report, Competitive Analysis and Regional Opportunities 2025-2031
The global AI GPU market size was US$ 85625 million in 2024 and is forecast to a readjusted size of US$ 757212 million by 2031 with a CAGR of 35.8% during the forecast period 2025-2031.
Published: 2025-09-10
Pages: 100
USD 4250.00 (Single User License)
Global AI GPU Market Outlook, In‑Depth Analysis & Forecast to 2031
The global AI GPU market is projected to grow from US$ 85625 million in 2024 to US$ 757212 million by 2031, at a CAGR of 35.8% (2025-2031), driven by critical product segments and diverse end‑use applications, while evolving U.S. tariff policies introduce trade‑cost volatility and supply‑chain uncertainty.
Published: 2025-09-10
Pages: 170
USD 4900.00 (Single User License)
Global AI GPU Market Research Report 2025
The global market for AI GPU was valued at US$ 85625 million in the year 2024 and is projected to reach a revised size of US$ 757212 million by 2031, growing at a CAGR of 35.8% during the forecast period.
Published: 2025-09-10
Pages: 102
USD 2900.00 (Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
The global market for AI GPU was estimated to be worth US$ 74970 million in 2024 and is forecast to a readjusted size of US$ 476220 million by 2031 with a CAGR of 30.7% during the forecast period 2025-2031.
Published: 2025-01-19
Pages: 107
USD 3950.00 (Single User License)
Global and China AI GPU Market Report & Forecast 2024-2030
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published: 2024-05-17
Pages: 109
USD 4350.00 (Single User License)
AI GPU- Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published: 2024-05-17
Pages: 97
USD 3950.00 (Single User License)
Global AI GPU Market Research Report 2024
Broadly speaking, AI chips refer to chips that run artificial intelligence algorithms. AI algorithms mainly include deep learning algorithms and machine learning algorithms. In a narrow sense, AI chips refer to chips specially designed to accelerate artificial intelligence algorithms. AI chips mainly include GPU, TPU, FPGA, ASIC, etc. GPU is a hardware component similar to CPU, but more professional. It can handle complex mathematical operations running in parallel more efficiently than a regular CPU. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. Since artificial intelligence tasks often require a large number of computationally intensive operations such as matrix multiplication and convolution, these operations can be parallelized to speed up calculations. In contrast, CPUs have weak parallelism and their relatively small number of cores cannot handle this type of task efficiently. Therefore, in artificial intelligence tasks, using GPUs for calculations can significantly speed up calculations and improve calculation efficiency. Some of the most recent applications of GPU-powered deep learning include recommendation systems, which are AI algorithms trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions, large Language Models/NLP, which can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets. Generative AI, which uses algorithms that create new content, including audio, code, images, text, simulations, and videos, based on the data they have been trained on.
Published: 2024-05-17
Pages: 86
USD 2900.00 (Single User License)