Generative Artificial Intelligence (AI) Chipset Market Definition
A generative artificial intelligence (AI) chipset is specialized hardware designed to enhance the performance of AI models that generate content, such as text, images, or audio. These chipsets are optimized for the high computational demands of generative AI tasks, providing efficient processing power and faster data handling. They are crucial for accelerating complex AI algorithms and improving the overall effectiveness of AI applications.
The main types of generative artificial intelligence (AI) chipset are central processing unit (CPU), graphics processing unit (GPU), field-programmable gate array (FPGA), application-specific integrated circuit (ASIC), and others. A central processing unit (CPU) refers to the primary component responsible for executing general-purpose computations and managing the execution of various AI algorithms and tasks. Applications include information cognition, traffic prediction and classification, resource management and network adoption, and performance prediction and configuration extrapolation. The end users include automotive, banking, financial services, and insurance (BFSI), consumer electronics, healthcare, manufacturing, retail, telecommunication, and others.
Generative Artificial Intelligence (AI) Chipset Market Segmentation
The generative artificial intelligence (AI) chipset market covered in this report is segmented –
1) By Type: Central Processing Unit (CPU), Graphics Processing Unit (GPU), Field-Programmable Gate Array (FPGA), Application-Specific Integrated Circuit (ASIC), Other Types
2) By Application: Information Cognition, Traffic Prediction And Classification, Resource Management And Network Adoption, Performance Prediction And Configuration Extrapolation
3) By End-Use: Automotive, Banking, Financial Services, And Insurance (BFSI), Consumer Electronics, Healthcare, Manufacturing, Retail, Telecommunication, Other End Users