反客為主! 科技大咖相繼自產晶片 威脅半 - 股票
By Megan
at 2020-12-22T06:36
at 2020-12-22T06:36
Table of Contents
1.原文連結:
https://udn.com/news/story/6811/5111234?from=udn-ch1_breaknews-1-0-news
2.原文內容:
反客為主! 科技大咖相繼自產晶片 威脅半導體巨擘
2020-12-22 00:06 經濟日報 / 編譯黃嘉洵/綜合外電
全球半導體巨擘迎來龐大的競爭壓力—他們最大的客戶正一個個開始自製能用在雲端運算
與人工智慧(AI)的晶片。
華爾街日報(WSJ)報導,全球晶片設計與製造市場,長期以來都由英特爾(Intel)、超
微(AMD)及輝達(Nvidia)等傳統半導體大廠所把持。如今從蘋果到亞馬遜、微軟及
Google等科技大咖,都正前仆後繼跨入這塊領域,以尋求更高性能與低成本的產品,改變
市場生態,這些傳統晶片大廠勢必得打造更專業的晶片,才能留住這些大客戶,保住市場
地位。
亞馬遜本月推出一款號稱能提高演算速度的AI晶片,並早已為雲端運算服務(AWS)自製
中央處理器(CPU)。
疫情加速雲端運算崛起,原因是企業普遍擁抱使用這些遠端伺服器的數位工具。在遠距辦
公期間,亞馬遜、微軟、Google及其他業者的雲端業務均強勁成長。企業客戶也更加需要
分析從產品與消費者身上收集而來的數據,帶動能有效分析這些資訊的AI工具需求。
這些新崛起的雲端巨擘規模之龐大,儼然對傳統晶片製造廠造成威脅。半導體業者過去設
計的高性能晶片,多半是作為通用的用途,讓客戶去適應和最大程度地利用這些晶片。如
今這些大型客戶已經有能力自主進行更優化的設計。
ARK投資管理分析師James Wang說:「英特爾在1990年代的規模遠超過所有客戶,但現在
客戶的規模已更甚這些供應商,因此他們能以更多資金與技術自行生產零組件。」美國市
值最大的晶片大廠輝達,市值也不過3,200億美元,但亞馬遜、微軟及字母公司的市值,
均已突破1兆美元大關。
WSJ報導也說,自製晶片之所以蔚為風潮,部分也歸功於台積電等晶圓代工製造商崛起,
使得科技巨擘不須斥資數十億美元打造晶片工廠;這項改變也讓晶片設計大廠安謀(ARM
)受惠。
亞馬遜、Google及微軟遍布全球的資料中心,預估各有數百萬台伺服器,除了自用還可以
出租給上百萬家雲端運算的客戶;因此在啟動或冷卻晶片時能否縮短時間和提高性能,就
算只有微小的進展,都值得一試。臉書也正試圖研發自家晶片。
3.心得/評論:
是晶片那麼容易設計?還是有錢的小孩什麼都比較會?
不管怎樣,代工廠都受惠
--
https://udn.com/news/story/6811/5111234?from=udn-ch1_breaknews-1-0-news
2.原文內容:
反客為主! 科技大咖相繼自產晶片 威脅半導體巨擘
2020-12-22 00:06 經濟日報 / 編譯黃嘉洵/綜合外電
全球半導體巨擘迎來龐大的競爭壓力—他們最大的客戶正一個個開始自製能用在雲端運算
與人工智慧(AI)的晶片。
華爾街日報(WSJ)報導,全球晶片設計與製造市場,長期以來都由英特爾(Intel)、超
微(AMD)及輝達(Nvidia)等傳統半導體大廠所把持。如今從蘋果到亞馬遜、微軟及
Google等科技大咖,都正前仆後繼跨入這塊領域,以尋求更高性能與低成本的產品,改變
市場生態,這些傳統晶片大廠勢必得打造更專業的晶片,才能留住這些大客戶,保住市場
地位。
亞馬遜本月推出一款號稱能提高演算速度的AI晶片,並早已為雲端運算服務(AWS)自製
中央處理器(CPU)。
疫情加速雲端運算崛起,原因是企業普遍擁抱使用這些遠端伺服器的數位工具。在遠距辦
公期間,亞馬遜、微軟、Google及其他業者的雲端業務均強勁成長。企業客戶也更加需要
分析從產品與消費者身上收集而來的數據,帶動能有效分析這些資訊的AI工具需求。
這些新崛起的雲端巨擘規模之龐大,儼然對傳統晶片製造廠造成威脅。半導體業者過去設
計的高性能晶片,多半是作為通用的用途,讓客戶去適應和最大程度地利用這些晶片。如
今這些大型客戶已經有能力自主進行更優化的設計。
ARK投資管理分析師James Wang說:「英特爾在1990年代的規模遠超過所有客戶,但現在
客戶的規模已更甚這些供應商,因此他們能以更多資金與技術自行生產零組件。」美國市
值最大的晶片大廠輝達,市值也不過3,200億美元,但亞馬遜、微軟及字母公司的市值,
均已突破1兆美元大關。
WSJ報導也說,自製晶片之所以蔚為風潮,部分也歸功於台積電等晶圓代工製造商崛起,
使得科技巨擘不須斥資數十億美元打造晶片工廠;這項改變也讓晶片設計大廠安謀(ARM
)受惠。
亞馬遜、Google及微軟遍布全球的資料中心,預估各有數百萬台伺服器,除了自用還可以
出租給上百萬家雲端運算的客戶;因此在啟動或冷卻晶片時能否縮短時間和提高性能,就
算只有微小的進展,都值得一試。臉書也正試圖研發自家晶片。
3.心得/評論:
是晶片那麼容易設計?還是有錢的小孩什麼都比較會?
不管怎樣,代工廠都受惠
--
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