16%
27.09.2021
in flash storage.
The Thing About the Network
The connection between the backup server and your infrastructure can often be optimized. If you use a 1Gbps connection for the backup, you can theoretically
16%
30.01.2020
occur if a large volume of data is transferred at different speeds between endpoints on the SAN. For example, if the HBA operates at a bandwidth of 8Gbps while the front-end port on the storage system
16%
08.06.2021
power (TDP)
8GB DDR4-2933 memory
Maximum of two memory channels
Memory bandwidth: 45.8GBps
Nvidia GeForce 1650 GPU
Architecture: Turing (TU117)
Memory: 4GB GDDR5
Memory
16%
20.06.2022
, and devices. Data is the fuel for digital transformation, and 5G will transmit data at up to 10Gbps in the future – which is 100 times faster than the current 4G/LTE standard. Additionally, the transmission
16%
25.03.2021
to existing management systems and databases. Some outdated solutions also lack functions for IPv6. The Kea project, launched in 2014, modernizes the DHCP server.
Kea was designed as a successor
16%
12.09.2013
network tunnels
Displaying the link-layer information (MAC addresses, etc.)
Configuring Quality of Service (QoS)
Management features cover both IPv4 and IPv6, and new features are implemented
16%
08.06.2012
, real-time updates, and the appearance of 10Gb networks (or even some 100Gbps backbones) have changed the shape of the web.
The IETF Working Group “Hypertext Transfer Protocol Bis (httpbis)” is looking
16%
02.06.2020
.
The Turing Pi clusterboard supports Raspberry Pi compute modules which are interconnected with a 1 Gbps network (although each node is limited to 100 Mbps USB speed) and can share RAM and storage between
16%
02.12.2010
) and Amanda McPherson (Linux Foundation) records the highest number of code entries at the 2.6.30 version. The number of commits to the 2.6.35 kernel is 18% less.
Nevertheless, the kernel community has been
16%
19.07.2012
AMD announced that it has been selected to receive US$ 12.6 million for two research projects associated with the US Department of Energy’s (DOE) Extreme-Scale Computing Research and Development
