Server 主板
Server motherboards for demanding applications come in form factors: EEB/E-ATX/ATX/microATX/mini-ITX.
Workstation 主板
Professionals that work in AI, animation, and data science rely on solid, scalable, and performant workstation boards.
Rack Server
Innovation and performance are in these optimal rack servers to be deployed in data centers with demanding applications.
GPU服务器
Scalable parallel computing GPU dense servers that are built for high performance.
体育外围 (澳门体育平台大全官网)
Compute, Storage, and Networking are possible in high density, multi-node servers at lower TCO and greater efficiency.
塔式服务器/工作站
Stand-alone chassis for customers to customize and expand as needs change.
先进冷却技术
Diverse cooling solutions greatly improve efficiency in the data center and offer more computing power in a densely packed rack.
数据中心-OCP
Based on OCP Open Rack Standards, barebone racks and nodes for datacenters.
x86
Tried and true x86 architecture based servers with support for the latest Intel and AMD processors.
ARM Server
Arm architecture servers will compete in Cloud to Edge as they tackle compute-bound workloads.
AI Platform
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
Visual Computing
Systems that do visual applications from computer graphics to computer animation rely on visual computing servers.
高性能计算服务器
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
超融合服务器
Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.
存储服务器
Capacity, reliability, and storage flexibility are built into these storage servers for enterprise and datacenters.
网络服务器
Securely manage the use of files and applications for office environments while storing large amounts of data.
混合/私有云服务器
Server resources are effectively allocated via virtualization, and these servers are highly flexible.
边缘服务器
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
