00JY194 Technical Specifications
Lenovo ServeRAID M1210 SAS/ SATA Controller
Manufacturer Lenovo
Manufacturer Part # 00JY194
Product Type : Controller
Interface : Sas/Sata
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Lenovo ServeRAID M1210 SAS/ SATA Controller
$197
Manufacturer Lenovo
Manufacturer Part # 00JY194
Product Type : Controller
Interface : Sas/Sata
Cisco UCS E-Series Network Compute Engine, part of the Cisco Unified Computing System, is excellent E-Series brand of product that is price and power-optimized general-purpose x86 64-bit compute modules designed to be deployed in Cisco Integrated Services Routers Generation 2 and 4400 series networking platforms.
Cisco Unified Computing System (Cisco UCS) E-Series servers bring data center-class, virtualization-ready blade servers to the branch office. Cisco UCS E-Series Servers are high-density, single-socket blade servers designed to balance simplicity, performance, and application density while operating in an energy-efficient environment. These powerful, small form-factor (SFF), x86 64-bit blade servers are housed within Cisco Integrated Services Routers Generation 2 (ISR G2) and Cisco 4451-X ISR networking platforms and are designed to host essential infrastructure services and mission-critical business applications in the lean branch office.
The Cisco UCS C220 M4 rack server is a versatile, general-purpose enterprise infrastructure and application server. It is a high-density two-socket enterprise-class rack server that delivers superb performance and efficiency for a wide range of enterprise workloads, including virtualization, collaboration, and bare-metal applications. The Cisco UCS C-series rack servers can be deployed as standalone servers or as part of the Cisco Unified Computing System (Cisco UCS) to take advantage of Cisco’s unified computing technologies that help reduce customers’ total cost of ownership (TCO) and increase their business agility.
The Cisco UCS C240 M3 Rack Server is designed for both performance and expandability over a wide range of storage-intensive infrastructure workloads ranging from big data to collaboration.
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