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Solution Type: Storage
 

High-performance 10GbE Storage Accelerator for IBM BladeCenter.

The S320EM-BCH is a dual-port 10Gigabit Ethernet mezzanine card with PCI-express host bus interface for IBM BladeCenter H, optimized for storage applications. The third generation technology from Chelsio provides the highest 10GbE performance available and dramatically lowers host system CPU communications overhead.

With on-board hardware that offloads TCP/IP, iSCSI, and iWARP RDMA processing from its host system, the S320EM-BCH frees up host CPU cycles for useful applications. The system achieves increased bandwidth, lower latency, and lower power.

The S320EM-BCH also accelerates the iSCSI protocol for block-level storage traffic between servers and storage systems. With high-speed iSCSI, 10GbE is now the best technology for storage area networks.

The adapter's two ports and IEEE 802.3ad link aggregation/failover features are ideal for mission critical network applications that require redundancy and high-availability capabilities.


 
For more company information: http://www.chelsio.com
 

Blade server PRODUCTS linked to this solution

Product Type: Subsystem - Data Communications Adapter Chelsio S320EM-BCH 10GbE Storage Accelerator
CHELSIO'S S320EM-BCH 10GbE Storage Accelerator is a dual-port 10 Gigabit Ethernet mezzanine card with PCI Express host bus interface for IBM BladeCenter H, optimized for storage applications. The third-generation technology from Chelsio provides the highest 10GbE performance available and dramatically lowers host-system CPU communications overhead.

With on-board hardware that offloads TCP/IP, iSCSI, and iWARP RDMA processing from its host system, the S320EM-BCH frees up host CPU cycles for useful applications. The system achieves increased bandwidth, lower latency, and lower power.

This combination makes it practical to converge other networks that traditionally used niche technologies onto 10GbE. High bandwidth and extremely low latency make 10GbE with protocol offload the best technology for high-performance cluster computing (HPCC) fabrics.
 


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