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SAN JOSE, Calif. September 4, 2014 Cisco today introduced significant innovations to its Unified Computing System (UCS) business, delivering a broader and more powerful portfolio of technologies to help customers capitalize on rapidly changing landscapes in business and IT.
Built on the architectural foundation, partnerships, and rapid customer adoption of UCS, Cisco's expanded portfolio addresses new market segments and use cases with the introduction of Cisco UCS M-Series Modular Servers for cloud-scale applications, and Cisco UCS Mini for small-scale and enterprise-edge environments.
Additionally, an expansion of the current UCS portfolio brings new levels of power and scalability for a wide range of data center workloads by unveiling new fourth-generation UCS Rack and Blade Servers for application performance, and new UCS Director solutions to manage Big Data infrastructure workloads.
Rapid changes in the way applications are architected and delivered are being driven by the demands of Big Data, the Internet of Everything, mobility, video and cloud, said Paul Perez, vice president and general manager, Cisco UCS. We are in a new world where data sets and application scale are rapidly growing, and the opportunities for businesses to capitalize on the deeper intelligence and faster decisions they afford are really taking off. With this expanded portfolio, Cisco is delivering the largest wave of computing innovation since the original introduction of UCS we are continually challenging and evolving how data center infrastructure should be architected and managed.
Cisco's Unified Computing innovation extends the company's strategy of application-centric data center infrastructure, an approach designed to future-proof and create advantage for customers amid continuous change in IT and business. The new technology innovations include:
Cloud-Scale Computing New Cisco UCS M-Series Modular Servers deliver breakthrough levels of operational efficiency for cloud service providers and enterprise customers who increasingly rely on scale-out application architectures. With exclusive Cisco System Link Technology, the UCS M-Series leapfrogs conventional designs, delivering the industry's first true disaggregated server architecture for leaner Cloud-scale infrastructure. This optimized approach can eliminate up to 95% of the system components duplicated in a traditional server design, which combined with the simplicity of UCS Management, can deliver up to 36% combined TCO savings2.
In addition, the new Cisco UCS C3160 Rack Server, featuring high-capacity local disk storage, is ideal for distributed data analytics and object stores, unstructured data repositories, and media streaming and transcoding.
Edge-Scale Computing Unified Computing innovation is now optimized for remote sites, branch offices, and small IT environments with the introduction of Cisco UCS Mini. This all-in-one solution delivers servers, storage and networking in a compact form factor that is easy to deploy and operate, bringing the benefits of UCS simplicity and IT automation to a new segment of customers and up to a 36% advantage in total cost of ownership compared to traditional rack servers.3 For customers operating large numbers of remote sites or branch offices, UCS systems management enables operations and policy control of distributed computing at a massive scale.
Data-Intensive Computing and Core Data Center Applications New Fourth-generation UCS Servers and UCS Director products deliver power and control to accelerate intensive data analytics and a wide range of applications for improved business outcomes, including:
The UCS B200 M4 Blade Server, C220 M4 and C240 M4 Rack Servers, based on the future Intel Xeon processor E5-2600 v3 product family, continue Cisco's tradition of world-record application performance across a diverse range of workloads.
UCS Director Express for Big Data provides a single touch solution that automates deployment of Hadoop and provides a single management pane across both physical infrastructure and Hadoop software. It is integrated with major open-source distributions to ensure consistent and repeatable Hadoop UCS cluster configuration, relieving custome
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