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Wiwynn® SV5270G2-B (1U OpenCloud Server)

SV5270G2-B (Balanced) / SV5270G2-D (Computing Density)

*SV5270G2 servers are installed in SC2000 (12U OCS Chassis) 


1U OpenCloud Balanced Server

Power efficient server, optimized for computing-storage balanced applications
Where to Buy
State-of-the-art microarchitecture for efficient performance
Wiwynn SV5270G2 Series features dual Intel® Xeon® Processor E5-2600 V4 with DDR4 support for improving performance and energy efficiency. Featuring technologies targeted for accelerating security for boot and run-time.
Vanity-free design 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 reduntant power and cooling system in the Wiwynn SC2000 (OCS Chassis).
Blind-mate signal connectivity for near-zero operational errors
Decoupled architecture of SV5270G2 and SC2000 simplifies the installation and maintenance of rack system. Cable-free design significantly prevents operational errors.
Best for computing-intensive application with I/O performance
Wiwynn SV5270G2 Series comes with 16 DIMM slots per node, supporting up to 512GB DDR4. Best suited for applications that demand a lot of computation and high IOPS, SV5270G2-D is your best choice for computing-intensive applications.
Flexible storage configurations
SV5270G2 Series delivers two SKUs with flexible storage design. SV5270G2-D supports four 3.5” HDDs and sixteen M.2 SSDs. SV5270G2-B supports ten HDDs and eight M.2 SSDs for compute-storage balanced applications.
Processor Intel® Xeon® E5-2600 V4
Memory Up to 512GB; 8GB/16GB/32GB DDR4 up to 2133MT/s; 16 DIMM slots
Processor Sockets Two Sockets
Memory Intel® C610 Series
Storage Ten 3.5” drive bays: ● SAS/SATA HDDs Eight M.2 SSD 2242/2260/2280 modules (via PCIe riser)
Expansion Slots Four PCIe x8 mezzanine slots ● 40/50GbE QSFP port
Power Supply Centralized OCS PSU in 12U Chassis
Dimensions 1U rack; 43.5(H) x 442.4 (W) x 830.4 (D) (mm)
Weight 16kg
OS Support List Windows® Server 2012 R2

 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 Series 2017/06/20 Download