快速達交產品系列
可靠及值得信賴的效率，加速建立你的數位平台技嘉推出快速達交產品系列包含了我們最暢銷的伺服器產品。透過模組化的產品設計以及生產零組件的策略性調控，技嘉以彈性的生產規劃來縮短交貨時間，讓客戶專注於他們的核心事業經營。技嘉不僅提供優質的企業級產品，更致力確保客戶享有滿意的消費者體驗，我們的快速達交產品系列能讓用戶迅速獲取最新的運算產品，推動客戶服務上市零時差，是您便利且值得依賴的數位平台合作夥伴。
伺服器主機板
Server motherboards for demanding applications come in form factors: EEB/E-ATX/ATX/microATX/mini-ITX.
工作站主機板
Professionals that work in AI, animation, and data science rely on solid, scalable, and performant workstation boards.
機架式伺服器
Innovation and performance are in these optimal rack servers to be deployed in data centers with demanding applications.
GPU 協同運算伺服器
Scalable parallel computing GPU dense servers that are built for high performance.
高密度伺服器
Compute, Storage, and Networking are possible in high density, multi-node servers at lower TCO and greater efficiency.
工作站
Stand-alone chassis for customers to customize and expand as needs change.
直接液體冷卻
Ensure peak performance in all configurations. Adopt direct-to-chip liquid cooling for the rising AI/HPC era.
浸沒式液冷
Address rising server heat with submerged cooling. Embrace next-gen liquid cooling for improved TCO and PUE.
OCP 資料中心伺服器
Based on OCP Open Rack Standards, barebone racks and nodes for datacenters.
x86 架構伺服器
Tried and true x86 architecture based servers with support for the latest Intel and AMD processors.
人工智慧平台
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
視覺特效演算
Systems that do visual applications from computer graphics to computer animation rely on visual computing servers.
高效能運算伺服器
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
超融合伺服器
Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.
儲存伺服器
Capacity, reliability, and storage flexibility are built into these storage servers for enterprise and datacenters.
網路伺服器
Securely manage the use of files and applications for office environments while storing large amounts of data.
私有雲/混和雲伺服器
Server resources are effectively allocated via virtualization, and these servers are highly flexible.
邊緣運算伺服器
Real time data processing at the source is required for edge computing with reduced latency for Internet of Things (IoT) and 5G networks as they use cloud.
e-Mobility
Telematics and Edge computing platform for Electric vehicle, Autonomous driving, ADAS, ITS, and V2X applications