Ports & interfaces
Host interface |
PCI-E |
Internal |
Y |
Protocols
Supported network protocols |
IP, TCP, UDP, IPv4, IPv6 |
Performance
Internal memory |
3 MB |
Receive Side Scaling (RSS) |
Y |
Additionally
Jumbo Frames support |
Y |
Transfer rate (Mbps) |
10000 Mbit/s |
Wireless technologies |
Wired |
ENW-9801 - 10Gbps SFP+, PCI Express, 16K Jumbo Frame, 3Mb, 10 W
<b>10 Gigabit Performance Boosts Network Traffic</b>
The PLANET ENW-9801 Single-Port 10 Gigabit Ethernet server adapter is an optimal solution for Ethernet applications by providing strict low-power budgets and small form factor. It offers simple integration into any PCI Express x8 server slot via one SFP+ slot. The onboard controller featured on the ENW-9801 integrates embedded technology and a 10GbE MAC into a single chip that offers up to 10Gbps of network throughput. PLANET Network solution greatly reduces the TCP/IP packet processing tasks of the server’s CPU by performing enhanced data-handling algorithms, thereby providing nearly 10Gb line speed performance with the simplicity of a conventional Network Interface Card (NIC).
<b>Next Generation Server Adapter for growth and expansion of networking environments</b>
The ENW-9801 is a PCI Express 10G Ethernet adapter designed to address high-performance system application requirements. With the innovative PCI Express Bus Architecture, the ENW-9801 provides better performance than the network cards based on 32/64bit PCI architecture. It provides the best solution for one of the major issues of Server Farm Networks - communication speed. Ten times faster than existing 1000Base-SX/LX solutions, using the PLANET ENW-9801 to connect your servers and workstations guarantees extremely high throughput and excellent signal quality.
<b>Key Features</b>
- One SFP+ slot
- PCI Express x8 Host Bus interface
- 16K Jumbo Frame
- IEEE 802.1Q Tagged VLAN
- IEEE 802.1p CoS traffic priority
- SNMP RMON Statistics
- Low Power Consumption
- Complies to Microsoft, Linux, FreeBSD, Solaris OS
- Virtual NIC support
- Lower CPU utilization:reduce CPU utilization and improve throughput