Exar Corporation has announced the Express DX 1845 high-performance data security and reduction card. The DX 1845 provides a simple, power-efficient solution to secure and optimize data in enterprise applications. The new data security and reduction card offloads these tasks from the host microprocessor, freeing up valuable cycles to be applied to the application workload or reducing the type or number of microprocessors needed. By reducing the number of additional microprocessors needed the DX 1845 helps customers with power, cooling and capital expenditures, enabling a lower Total Cost of Ownership (TCO).

With the adoption of cloud computing, and increased requirements around protecting information, security is no longer just an issue to be handled in firewalls at the edge of the data center but needs to be addressed throughout the data center. In addition, the amount of unstructured data being processed by and stored in these data centers is increasing rapidly, putting a strain on storage infrastructure.

"The expanding digital universe is driving the migration to the cloud as customers are looking for efficient solutions to store, secure, distribute and manage large amounts of data," said Zack Mihalis, senior director of marketing, Datacom and Storage business unit at Exar. "The Express DX 1845 provides security and data reduction capabilities with the performance, scalability, and power-efficiency required for enterprise environments. It can simultaneously compress and encrypt data at rates several times faster than two 6 core/12 thread enterprise class x86 processors at a fraction of the power consumption."

Additionally, as more and more information moves to a digital format (i.e. medical records, online buying and associated habits), it is tagged and stored in databases. These databases are sizeable and the information highly confidential. The Express DX 1845 card offers customers the highest-level of encryption and industry-standard, lossless compression features, which can significantly increase security while reducing costly primary storage capacity requirements and optimizing network bandwidth.