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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96436
標題: GPU晶片設計商創新商業模式探討─以NVIDIA為例
The Innovative Business Model of GPU IC Design - A Case Study of NVIDIA
作者: 何翊慈
Yi-Tzu Ho
指導教授: 陳家麟
Chia-Lin Chen
關鍵字: 繪圖晶片產業,GPU高效運算,NVIDIA,NVIDIA AI生態系,生態系創新策略,生態系競爭策略,
GPU industry,high-performance computing,NVIDIA,NVIDIA AI ecosystem,ecosystem innovation strategy,ecosystem competitive strategy,
出版年 : 2024
學位: 碩士
摘要: 本研究旨在探討NVIDIA如何以創新的商業模式擴張其市場與獲利來源,並且洞察先機提早佈局,而在生成式AI爆發下稱霸產業,佔領難以撼動的領先地位。根據文獻回顧和GPU產業分析,本研究進一步分析NVIDIA生態系的創新策略以及競爭策略並得出以下結論:
一、NVIDIA鼓勵創新的企業文化、領先業界的研發能力及掌握整條AI供應鏈上頂尖參與者的策略聯盟資源為維持競爭優勢並開展創新策略的重要根基。
二、藉由與顧客、供應商、競爭者、互補者的緊密互動,為NVIDIA共創最大價值,然競爭者拉攏顧客另闢研發體系,為NVIDIA未來將面對的議題。
三、NVIDIA的創新策略採取平台導向的生態系統體驗,以CUDA架構為基礎佈建AI生態系,透過軟體賦能硬體、開放式專用平台的打造,成功拓展產品應用範圍並改變營收結構,提升毛利。
四、NVIDIA期望成為AI界的台積電,提供最高的吞吐量和最低可能的成本,替需要使用AI的企業代工。在生態系建立多個專用平台與合作夥伴協力開創AI市場,建構強大的壁壘城牆和技術升級,而在現階段不受競爭者威脅。
總體而言NVIDIA透過生態系的經營,改變過去GPU專注於銷售硬體的限制,創造高度成長動能,並站穩領導者的身份。然面對競爭者的積極追趕,NVIDIA必須持續投資於研發以保持其創新邊際,並發展更多客製化的解決方案來增強市場吸引力及獨特性。同時擴充供應鏈合作夥伴並建立緊密的合作關係,是確保產能穩定的關鍵策略。NVIDIA也需嚴守環境與社會責任,並隨時注意法律和規範的合規性,以保持業務的持續發展和市場競爭力。
This study investigates how NVIDIA has expanded its market and profitability through innovative business models, strategically positioning itself ahead of the generative AI surge to dominate the industry. The analysis, based on literature reviews and GPU industry insights, further explores NVIDIA's ecosystem innovation and competitive strategies, leading to the following conclusions
NVIDIA's ecosystem operation not only establishes it as an industry leader but also as a pioneer in the AI market:
1. NVIDIA’s innovative culture, leading R&D capabilities, patents, and strategic alliances are foundational for maintaining its competitive edge and driving innovation.
2. Through engagements with customers, suppliers, competitors, and complementary players, NVIDIA maximizes value. The dynamics in various sectors influence resource distribution, and the rise of customers as potential competitors present future challenges.
3. NVIDIA's strategic adoption of a platform-oriented ecosystem approach, building on the CUDA architecture, has broadened the application scope of its products, altered its revenue model, and increased profitability.
4. Aspiring to be the TSMC of the AI world, NVIDIA aims to provide the highest throughput and the lowest possible costs for companies using AI, building multiple specialized platforms and collaborating with partners to pioneer the AI market. It constructs formidable barriers and technological advancements, currently unthreatened by competitors.
In summary, by managing its ecosystem, NVIDIA has transformed the limitations of previously being hardware-focused to fuel significant growth, solidifying its leadership. To continue competing, NVIDIA must invest in R&D and develop customized solutions to enhance industrial attractiveness and irreplaceability. Expanding supply chain partnerships to ensure production stability, adhering to environmental and social responsibilities, and maintaining legal compliance are critical for sustainable business development and competitive advantage in the market.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/96436
DOI: 10.6342/NTU202500339
全文授權: 未授權
電子全文公開日期: N/A
顯示於系所單位:商學研究所

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