
隨著AI伺服器叢集規模持續擴張,加速器頻寬需求快速提升,AI網通與高速互連市場迎來爆發性成長。
研調機構集邦指出,全球AI網通與互連產值將從2024年的379億美元攀升至2027年的2798億美元,年均複合成長率達95%,交換器與光模組為主要成長動能。
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隨著人工智慧伺服器叢集規模持續擴張,加速器頻寬需求快速提升,AI網通與高速互連市場迎來爆發性成長。
集邦指出,隨頻寬規格持續升級,1.6T可插拔光模組預計於2027年取代800G。
隨著人工智慧(AI)伺服器叢集規模持續擴張,加速器頻寬需求快速提升,AI網通與高速互連市場迎來爆發性成長。研調機構集邦(TrendForce)今天指出,全球AI網通與互連產值預估將從2024年的379億美元(約新台幣1.2兆元),攀升至2027年的2798億美元(約新台幣9.1兆元),年均複合成長率95%。
集邦指出,AI網通市場成長重心正從後端網路交換器、光模組,進一步延伸至加速器高速互連及網路介面卡。從產品結構觀察,交換器仍是最大產值來源,預估2027年產值達1050億美元(約新台幣3.4兆元),占整體市場近38%。
此外,網路介面卡與資料處理器(NIC/DPU)受惠新一代平台配置量增加及頻寬升級,2027年產值達574億美元(約新台幣1.8兆元)、年增逾100%;可插拔光模組產值則上看841億美元(約新台幣2.7兆元),三大產品合計占整體市場約88%。
值得注意的是,AI晶片間高速互連(Scale-up)正成為成長最快的領域,隨著GPU平台朝機櫃級架構發展,晶片互連從伺服器主機板延伸至獨立交換器托盤,帶動交換設備與高速銅纜需求同步增加。集邦預估,Scale-up占整體AI網通產值比重,將從2024年的11%,提高至2027年的24%,AI基礎設施投資逐漸從單純擴充運算能力,延伸至加速器之間的資料傳輸效率。
在技術發展方面,集邦指出,2027年GPU機櫃內互連仍將以銅纜為主,但不同AI晶片平台已出現技術路線分歧,例如Google TPU透過晶片間互連(ICI)光互連搭配光路交換器(OCS),擴大AI叢集規模,反映未來高速銅纜與光互連將依不同架構需求持續發展。
另一方面,連接伺服器的後端網路(Scale-out)仍是產值規模最大的互連領域,隨頻寬規格持續升級,1.6T可插拔光模組預計於2027年取代800G;儘管1.6T產品單價隨量產逐步下降,但仍為800G的兩倍以上,帶動2027年可插拔光模組產值年增76%,其中1.6T預估貢獻約56%的營收。
集邦強調,AI晶片出貨增加不會等比例轉換為網通產值,各平台採用的互連拓樸、交換器配置及網卡頻寬,將左右供應鏈商機分配。隨著共同封裝光學(CPO)將部分光學價值從可插拔模組轉移至交換器,以及OCS支援大型叢集光路切換,未來AI網通市場競爭將不僅取決於出貨規模,更取決於各家業者在新一代高速互連架構中的技術布局。
AI outlook — possibilities, not facts
1.6T可插拔光模組預計於2027年取代800G
Likely · Within months
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