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Back|研究機構:華為2030年幾乎不可能追上輝達
研究機構:華為2030年幾乎不可能追上輝達
Tech
自由时报·50 minutes ago·Tech·2 min read·🇨🇳China

研究機構:華為2030年幾乎不可能追上輝達

Epoch AI分析指出,受限於晶片路線及供應鏈,華為生產的AI算力到2026年將不到輝達的4%。

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AI研究機構Epoch AI分析指出,華為受限於供應鏈與晶片發展,到2030年「幾乎肯定不會」追上輝達。預估至2026年,華為生產的AI算力將不到輝達4%。

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中國國務院於2017年發布規劃,目標在2030年使中國AI成為世界主要創新中心。

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Epoch AI直言華為2030年幾乎不可能追上輝達。示意圖。(路透)

〔財經頻道/綜合報導〕中國猛攻半導體自主化,重金扶植華為扛起國產AI晶片大旗,企圖突破美國科技封鎖、挑戰輝達霸主地位。不過,AI研究機構Epoch AI週六(5日)在社群平台X發布最新分析,針對華為能否在2030年前追上輝達,給出相當殘酷的答案:「幾乎肯定不會(Almost certainly not)」。

Epoch AI表示,這次分析檢視華為的晶片發展路線及供應鏈,包括Ascend 950、3D堆疊布局以及中國國產高頻寬記憶體(HBM)供應能力。研究團隊估算,到了2026年,華為生產的AI算力將不到輝達的4%;如果未來只能依靠中國國產HBM,到2028年,這一比例甚至可能降至約1%。

Epoch AI在8月27日更新的AI晶片市場資料顯示,以2025年第4季售出或出貨的AI晶片算力計算,輝達占68%,高居第一;Google占19%,亞馬遜及AMD各占5%,華為約占3%,寒武紀則不到1%。

Epoch AI同時提醒,占比下降不一定代表一家公司售出或出貨的AI算力減少。該機構追蹤的所有AI晶片設計商總算力,自2022年以來每年約成長3.3倍,因此即使市占下降,絕對供應量仍可能相當龐大,甚至持續增加。

至於華為未來能否縮小差距,Epoch AI最新分析特別將中國國產HBM供應納入預測。若只能依賴中國國產HBM,到2028年,華為生產的AI算力可能僅相當於輝達約1%。

Epoch AI因此對華為追趕輝達的前景給出明確判斷。針對「華為到2030年能否追上輝達?」Epoch AI的答案是:「幾乎肯定不會」。

值得一提的是,2030年正是中國官方設定的AI發展關鍵時間點。中國國務院在2017年發布《新一代人工智慧發展規劃》,宣稱到2030年,中國人工智慧理論、技術與應用總體要達到「世界領先水平」,成為世界主要人工智慧創新中心,AI產業競爭力也要達到國際領先水平。

不過,從Epoch AI最新分析來看,中國若要如期實現這項雄心,恐怕還有很長一段路要走。

Open Questions

  • ?中國國產高頻寬記憶體技術何時能取得重大突破?

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This article was originally published by 自由时报.

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AI研究機構Epoch AI分析指出,華為受限於供應鏈與晶片發展,到2030年「幾乎肯定不會」追上輝達。預估至2026年,華為生產的AI算力將不到輝達4%。

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