[Special Discount] Selected Topics-0020_Development of AI Servers and GPGPU Will Flourish in Era of Parallel Computing
Values of AI servers and corresponding computing cores GPGPU (General-Purpose Computing on Graphics Processing Unit) in parallel computing as LLM (Large Language Model), which excels in NLP (Natural Language Processing), and diffusion model, which excels in image processing, march towards mass commercialization, have become essential drivers for the human society in improving productivity through technical advancement.
Among which, AI servers possess a higher degree of customization compared to that of cloud servers. Taiwanese ODMs, including Foxconn Industrial Internet, Inventec, MiTAC, Wistron, Wiwynn, and Quanta, are once again portraying essential roles in the supply chain for AI servers with their capabilities in customization, while server OEMs such as Dell, Gigabyte, HPE, Lenovo, and Supermicro are relying on AI server solutions as important growth dynamics in the global server market amidst the post-pandemic era.
Table of Contents
1. AI Server Supply Chain
(1) ODM Direct for AI Servers
(2) OEM Mode for AI Servers
2. Three Major Suppliers of GPGPU for AI Servers: NVIDIA, AMD, Intel
(1) NVIDIA’s Data Center GPU
(2) AMD’s Instinct MI Accelerator
(3) Intel’s Data Center GPU Flex/Max
3. TRI’s View
(1) Production and sales of AI servers can be largely divided into ODM direct and OEM mode, with the
major difference being the fewer segments of production and sales for the former
(2) Three Major CPU Suppliers NVIDIA, AMD, Intel to Expedite Core Architecture Designs, Hardware
Configurations, Packaging Technology, and High-Speed Interconnection Technology for Respective
Gallium Arsenide (GaAs) is recognized in the industry as the most mature compound semiconductor material after silicon. It possesses superior characteristics such as high frequency, high electron mobility, high output power, low noise, and good linearity, making it one of the most important support materials for microwave radio frequency and optoelectronics.
In recent years, a surge in applications like 5G communications, autonomous driving, advanced displays, and AI has driven an increased demand for GaAs. Consequently, manufacturers are fully committed to capturing a significant share of this growing market.
The smartwatch market saw a downturn in 2023, which has significantly impacted strategies for 2024. Manufacturers are expected to adopt a conservative approach, focusing on incremental upgrades and diversification in R&D to align with market needs, with AI becoming a crucial tool in enhancing product and service offerings.
The VR/AR sector continues to struggle with a lack of compelling content and applications, which has stalled market growth and investor enthusiasm. In response, 2024 is set to witness a stronger emphasis on technological advancements to enrich content and broaden the commercial application of devices, spurring the development of essential upstream components.
Power semiconductors are the core of energy conversion and circuit control in electronic devices, playing vital roles in power conversion, amplification, switching, circuit protection, and rectification in electronic circuits. They are primarily used for altering voltage and frequency, as well as converting DC to AC in electronic devices. Power semiconductors have a key and extensive role in fields such as automobiles, industry, railway transportation, and power. As the new energy sector grows, particularly in solar energy and electric vehicles, power semiconductors such as IGBT and MOS are also becoming increasingly important in the realm of sustainable energy.
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