
隨著AI晶片市場競爭升溫,輝達、AMD、博通等廠商雖爭奪資料中心運算晶片市場,但台積電因其先進製程、龐大產能與客戶關係,成為AI晶片產業鏈中難以取代的共同供應商,惠及整個產業擴張。
AI-generated summary
AI晶片市場競爭激烈,主要設計廠商如輝達、AMD、博通均依賴台積電進行晶片製造,台積電以其先進製程和產能優勢成為關鍵供應商。
台積電在先進邏輯晶片製造領域具有高度優勢。(示意圖,法新社)
〔財經頻道/綜合報導〕AI晶片市場競爭持續升溫,輝達目前仍掌握資料中心運算晶片的領先地位,但隨著各大AI超大規模雲端服務商陸續加入戰局,市場未來誰能勝出仍存在變數。然而,無論最終哪家晶片業者勝出,都有一家企業可能持續受惠,那就是台積電。外媒《The Motley Fool》分析指出,台積電憑藉龐大產能、先進製程技術以及與客戶長期合作關係,在AI資料中心領域建立起幾乎難以撼動的競爭優勢。
報導指,目前輝達生產的資料中心運算單元數量仍遠遠領先競爭對手,並透過率先搶進AI運算市場建立先發優勢。但超微(AMD)同樣積極布局GPU市場,博通(Broadcom)則與AI超大規模雲端服務商合作,開發針對特定工作負載設計的客製化AI晶片,可能對輝達及AMD的GPU市占形成壓力。
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不過,這場AI晶片競賽有一個共同點,就是主要晶片業者背後都有台積電。台積電除了替輝達生產晶片,也為AMD、博通等企業提供邏輯晶片製造服務,使其成為AI運算產業鏈中重要的共同供應商。根據TrendForce估計,今年第2季台積電占全球晶圓代工產業半導體營收達72.5%,遠遠領先其他競爭者;英特爾甚至未能進入前10名。
市場人士認為,台積電真正的優勢不只是市占率,而是多年累積的先進製程產能與客戶關係。AI晶片設計商即使想更換供應商,也必須考量製程成熟度、產能規模、良率以及長期合作等因素,因此競爭對手想一次搶走台積電大量市占,難度相當高。即使部分訂單流向其他晶圓代工廠,AI運算晶片的大部分製造需求仍可能留在台積電手中。
更重要的是,AI資料中心的資本支出仍在快速膨脹。從長期來看,輝達預估全球資料中心每年資本支出到2030年可能達到3兆至4兆美元。這意味著,只要AI基礎建設持續擴張,從GPU、客製化AI晶片到相關運算設備的需求,都可能同步增加,而台積電作為主要晶片製造商,也將從中受惠。
台積電本身也正在為下一波需求擴張產能。今年第2季,公司宣布追加1000億美元投資美國亞利桑那州生產設施,顯示台積電對未來AI及先進晶片需求仍抱持高度期待。龐大的資本支出也形成另一道競爭門檻,因為晶圓代工需要長期投入大量資金建設先進製程與生產設施,並非短期內就能追上。
因此,在輝達、AMD、博通等AI晶片業者爭奪市場的同時,台積電反而可能成為整個AI晶片產業共同受惠的供應商。市場目前仍無法確定未來哪一家AI晶片設計公司能取得最終優勢,但只要AI資料中心持續擴建,晶片製造需求就難以消失。對投資人而言,這也讓台積電在AI產業鏈中的角色更加受到關注。
一手掌握經濟脈動 點我訂閱自由財經Youtube頻道
AI outlook — possibilities, not facts
台積電將受惠於全球資料中心資本支出持續成長
Very likely · Within years

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