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Wiwynn® SV5270G2-S (1U OCS Server)

SV5270G2-S (Standard) / SV5270G2-R (RAID Expansion)

1U OpenCloud Server

Power efficient server, optimized for computing-intensive applications
Where to Buy
State-of-the-art microarchitecture for efficient performance
Wiwynn SV5270G2 Series features dual Intel® Xeon® Processor E5-2600 V3 Series with DDR4 support for improved performance and energy efficiency. Featuring technologies targeted for accelerating security for boot and run-time
Vanity designed for less power consumption and higher availability
High-density design of two servers within 1U, Wiwynn SV5270G2 Series not only minimizes power consuming and cost by removing unnecessary components, but also improves redundant power and cooling systems in the Wiwynn OCS chassis.
Blind-mate signal connectivity for near-zero operational errors
Decoupled architecture for server and Wiwynn OCS chassis that simplifies rack installation and repair. Cable-free design significantly minimizes operational errors during servicing.
High memory and flexible storage
Wiwynn SV5270G2 Series comes with 16 DIMM slots per node, supporting up to 512GB DDR4, making sure that each server is working at the highest performance. Flexible storage capacity up to four 3.5" HDDs and four 2.5" SSDs.
Best for computing-intensive application with I/O performance
the four M.2 SSD modules enhance expandability. Best suited for applications that demand a lot of computation and high IOPS. Your best choice for running computing-intensive and high I/O speed applications.
Processor Intel® Xeon® E5-2600 V3
Memory Up to 512GB; 8GB/16GB/32GB DDR4 up to 2133MT/s; 16 DIMM slots
Chipset Intel® C610 series
System Bus Intel Quick Path Interconnect (QPI) links; 6.4 GT/s; 8.0 GT/s; 9.6 GT/s
Processor Sockets Two per node (2 server nodes in a 1U rack)
RAID Functions RAID 0/1/10 on PCH
Storage Four 3.5” drive bays per node: ● SATA HDD (7.2K rpm) Four 2.5” drive bays per node: ● SATA SSD Four M.2 SSD modules
VGA None
Remote Management IPMI V2.0 compliant; Chassis Manager
LAN One mezzanine slot ● Single 10GbE DA/SFP+ port ● Single 40GbE QSFP port
Power Supply Centralized 12V DC bus bar
Power Consumption Per node: 80W (Idle); 400W (Max)
Dimensions 1U rack; 43 (H) * 220 (W) * 854.6 (D) (mm)
Weight Per node: 8 kg
OS Support List Windows® Server 2012 R2 CentOS 7.0

 Web Server

High-computing and high power efficiency

Bandwidth throttling to limit the speed of responses. Support web applications and web services with the compact combination of High-computing and high power efficiency.

The most simple definition is that a Web server runs a website by returning HTML files over an HTTP connection. This definition may have been true in the early days of the Internet, but the line has blurred between websites, Web applications and Web services, etc.

For example, a server that delivers an XML document to another device can be a Web server. A better definition might be that a Web server is any Internet server that responds to HTTP requests to deliver content and services.

Common features

1. Virtual hosting to serve many web sites using one IP address

2. Large file support to be able to serve files whose size is greater than 2. 2 GB on 32 bit OS

3. Bandwidth throttling to limit the speed of responses in order to not saturate the network and to be able to serve more clients

4. Server-side scripting to generate dynamic web pages, still keeping web server and website implementations separate from each other




High performance with power consumption

Balance high performance with power consumption to store and process complex data and minimize data movement.

Hadoop Distributed File System

HDFS (Hadoop Distributed File System) stores a large amount of data placed across multiple machines, typically in hundreds and thousands of simultaneously connected nodes, and provides data reliability by replicating each data instance as three different copies - two in one group and one in another. These copies may be replaced, in the event of failure.

The HDFS architecture consists of clusters, each of which is accessed through a single NameNode software tool installed on a separate machine to monitor and manage the file system and user access mechanism for that cluster. The other machines install one instance of DataNode to manage cluster storage.

Hadoop Functions in Big Data

Fast-growing category of high-value applications that are increasingly employed by business and technical computing users.These users will select standard servers for handling different Hadoop functions, which they then assemble into a complete Hadoop environment. 


Category File Title Release Date Actions
Datasheet Datasheet - SV5270G2-S/R 2015/06/01 Download