HyperIP Netex HyperIP is a simple appliance which
accelerates data replication, migrations and file transfer
applications over IP wide area networks (WANs) by 3X to 10X.
It offers unmatched price/performance over narrow time
windows and unlimited distances while boosting performance
of the critical transfer applications. HyperIP reduces
bandwidth requirements as much as 60% to 90% when compression
and sequence reduction features are used. All this
translates into more data being sent over the same (or even
smaller) WAN links, lowering the cost of bandwidth,
equipment and support operations.
HyperIP supports WAN connections from 1
Mbps up to 800 Mbps per pair of appliances. It delivers
dramatic performance improvements at distances of hundreds
to tens of thousands of miles and is transparent to the
applications that is is accelerating. HyperIP is easily
implemented by attaching to an Ethernet network segment
separated by distance, allowing you to easily leverage
your existing Ethernet/IP WAN infrastructure investment.
Supporting remote data protection and file transfer
requirements over a single IP network means less cost, less
complexity and less maintenance.

HyperIP accelerates mission-critical file
transfer applications between data centers by providing
unmatched advantages for:
- Data Replication Optimization (DRO) over IP WANs for application availability, information protection schemes (Data Replication, Disk Mirroring, Snapshot Copies, Backup/Restore)
- Data Migration Optimization (DMO) between locations for short-term data movement projects
- Bulk file/data transfer between mission-critical business systems applications
- Centralized systems moving data to distributed servers (i.e. data warehousing and mining)
- Moving check images, medical images, digital video files using content distribution applications
Many of the world's most demanding
financial, telecommunications, transportation and government
organizations use HyperIP’s technology to accelerate and
optimize the movement of their mission-critical data around
the globe. |