问题解答
寻求解决方案 & 常见问题解答
Aug 18, 2014
此产品的变压器规格为何？
请参考以下规格信息：
- 输出电压： 19V DC
- 输出电流： 7.1A
- 输出功率：135W
- 输入电压范围：100V AC 至 240V AC
- 输入频率：50Hz 至 60Hz
- 连接头孔径：
- 内径 2.5mm
- 外径 5.5mm
- 深度 11.0mm
服务器主板
Three decades of fine-tuning and modularity design have given birth to a wide range of motherboards.
工作站主板
Professionals that work in AI, animation, and data science rely on solid, scalable, and performant workstation boards.
机架式服务器
Performance, efficiency, and reliability wrapped into a versatile server solution.
GPU 计算服务器
Scalable parallel computing GPU dense servers that are built for high performance.
高密度服务器
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.
先进散热方案
Diverse cooling solutions greatly improve efficiency in the data center and offer more computing power in a densely packed rack.
OCP开源服务器
Based on OCP Open Rack Standards, barebone racks and nodes for datacenters.
x86 服务器
Tried and true x86 architecture based servers with support for new Intel and AMD processors.
人工智能平台
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
视觉计算
Systems that do visual applications from computer graphics to computer animation rely on visual computing servers.
高性能计算平台
Processing power, large amounts of data, fast networking, and accelerators all bundle into a scale out ready HPC and/or AI server solution.
超融合服务器
Software defined cluster of nodes can be dedicated for compute, storage, networking, or virtualization.
储存服务器
Storage dense servers require flexibility in scaling up and in choice of storage options, which include U.2/SATA/SAS in 2.5", 3.5", NVMe AIC and M.2
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.
边缘计算服务器
Computation and analytics are done closer to the source rather than in a far away data center.
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