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“We are honored to be selected as a finalist for this award. It gives great satisfaction to see that the hard work we have invested in making the NT20E the best 10 Gbps network adapter for intelligent real-time network analysis has been recognized”, said Henrik Brill Jensen, CEO of Napatech.

Network Computing is a leading computer networking publication where, once a year readers vote for the products and services that have most impressed them . The award categories have been defined to reflect the hardware, software and managed services that can assist enterprises in operating more efficiently and securely.

Dave Bonner, Event Manager for the Network Computing Awards comments, “Finalists in each category are determined purely by numbers of on-line nominations. The biggest group of nominators are the readers of Network Computing, the UK's longest established magazine dedicated to network management. For the category New Product of the Year we don't lay down any rules about the launch date of the solution - we leave it to the nominating readers to make a judgment. In the New Product of the Year category there was somewhere between 50 and 100 entries. The Napatech solution became a finalist through being one of the 8 with the most nominations.”

The awards will be presented on 4th March at Guoman Tower Hotel, London. Voting is now open until February 22nd at: http://www.networkcomputingawards.co.uk/.

Napatech’s NT20 is a 2 x 10 Gbps intelligent real-time network analysis adapter used by OEM network appliance developers for network monitoring & analysis, test & measurement and network security applications. Napatech’s network adapters provide sustained full line-rate 1Gbps and 10Gbps throughput per port both on reception and transmission of packets. The adapter recognizes layer 2 through 4 protocols including SCTP, GTP and GRE tunneling protocols, as well as a number of encapsulation methods, such as VLANs, multiple MPLS labels and Cisco ISL. Napatech network adapters can also compute 17 different types of hash-keys, which can be dynamically selected based on the recognized protocol information. Using the computed hash-key or an equal distribution method, flows can be distributed across 32 CPU cores, allowing parallel processing. This allows the application to fully utilize available CPU cores.