hengyu Edge Computing Server - Flexible
Configuration for Multiple Scenarios
Zhengyu Edge Computing Server is designed
for edge computing scenarios with a large number of adaptive designs, such as
shorter chassis depth, wider temperature adaptability, and front maintenance of
PCIe devices.
The Zhengyu Edge Computing Server can be
equipped with Intel Xeon D series CPUs, supporting up to 512GB DDR4 DIMM, 2
PCIe 3.0 x16 (FH3/4L) slots, 2 PCIe 3.0 x8, 1 PCIe 3.0 x16 (FH3/4L) slot, and
up to 4 2.5-inch SATA hard drives. Despite limited space, it still has ideal
scalability, integrating computing, storage, and AI acceleration features, and
is suitable for applications in industrial Internet, intelligent manufacturing,
connected vehicles, 5G Internet, and other scenarios.
New Architecture
Supports the latest generation of Intel
Xeon D series processors, with a maximum of 20 cores and equipped with 2 10G
SFP+ fiber network interfaces via SoC, 2 10GBase-T RJ45 electrical ports via
Intel X557, 8 1GbE with Intel I350-AM4 electrical ports, and 1 1GbE with Intel
I210 electrical ports, reducing remote operation latency and increasing work
efficiency.
Special Design
Designed with a large number of adaptive
designs for edge computing scenarios, to ensure stable edge computing
operation, the fan can be replaced without opening the chassis, and the
management interface and PCIe devices are all designed for front maintenance,
making it easy for maintenance personnel to quickly maintain the server. It has
the characteristics of high temperature resistance, dust-proof, and corrosion
resistance, and can meet various harsh environmental requirements.
Edge Intelligence
The server supports GPU cards, and with the
increase of real-time data and the diversification of data forms, intelligent
edge computing with AI capabilities has emerged. By integrating AI and edge
computing technologies and deploying edge computing devices, data processing
can be ensured to be real-time and local, making it very suitable for AI
inference, acceleration, video encoding and decoding, and other application
scenarios.
Application Industries
Cloud computing: By placing computing and
storage resources closer to the terminal devices, edge computing servers can
reduce the latency of data transmission and provide more efficient data
processing. For example, when users access video streams through a cloud platform,
the edge computing server can cache the video data to the edge node for fast
data transmission and processing, providing a better user experience.
Internet: Due to the low latency of edge
computing servers, they are crucial for applications and services that require
fast response, such as IoT devices, smart homes, online games, and video
streaming, enabling fast data processing and timely response.
Big data: Big data usually requires a large
amount of computing resources and storage space. Edge computing servers can
transfer some data processing and storage tasks from the data center to the
edge location, reducing the burden of data transmission and centralized
computing. This can significantly improve data processing efficiency and speed,
and reduce the demand for network bandwidth.
Artificial intelligence: Edge computing
servers can place AI models and algorithms in the edge location, allowing data
to be processed and analyzed locally, reducing dependence on cloud computing
resources and network transmission. This is important for AI applications that
require real-time response, such as intelligent monitoring, intelligent
transportation, and AI applications on edge devices.
Virtualization: By virtualizing computing
and storage resources to the edge location, resource dynamic allocation and
management can be achieved, improving system flexibility and scalability.
Beijing Gisdom Technology Co., LTD
MOBILE:+86 1082699655
TEL:+86 4008034500
EMAIL:service@gisdom.com
ADDRESS:811A, Block D, Jiahua Building, No.9 Shangdi 3rd Street, Haidian District, Beijing