16%
10.08.2011
Thanks to a new caching method Sendmail Analyzer 8.0 is able to handle huge volumes of email, as much as millions of messages day. The change in caching the statistics data does preserve backwards
16%
07.08.2023
, there will be a charge of $0.005 per IP per hour for all public IPv4 addresses, whether attached to a service or not (there is already a charge for public IPv4 addresses you allocate in your account but don’t attach
16%
23.05.2024
of revenue growth and profitability. For the year ended 31 December 2023, revenues were $265.8 million, with gross profit of $66.0 million.”
According to Raspberry Pi CEO Eben Upton, “Raspberry Pi
16%
30.01.2020
its execution in the real world (real), as well as how much CPU time was allocated in user and kernel (sys) modes:
$ time sleep 1
real 0m1.004s
user 0m0.002s
sys 0m0.001s
What not everyone knows
16%
07.11.2011
cores.
you can easily see the load on the individual cores: One CPU is working hard (90 percent load), while the other is twiddling its thumbs (0.3 percent load).
Linux introduced support
16%
09.03.2012
Zarafa and Univention announced that the integration of the Zarafa Collaboration Platform 7.0. with Univention Corporate Server (UCS) 3.0 will be completed this month. A prototype of Zarafa
16%
02.11.2020
-native needs, 8.3 includes updated container images for Buildah and Skopeo, as well as Podman 2.0. With the Podman 2.0 release, developers can work with a new REST API, which was designed with two layers: libpod
16%
23.08.2021
Linux, if a task can be handled by RHEL, AlmaLinux is equally suited.
One very important thing of note is that pricing of AlmaLinux on Azure is currently listed as $0.00/hour. You will also find a number
16%
30.09.2021
.04 (linux-image-generic 5.11.0.37.39), 20.04 (linux-image-generic 5.4.0.88.92), and 18.04 (linux-image-generic 5.4.0-87.98~18.04.1) to update their kernel versions immediately. Make sure to log into your
16%
16.11.2022
/s using 8,730,112 cores,” says the report.
Fugaku — The Fugaku system installed at the RIKEN Center for Computational Science in Kobe, Japan remains at #2 with an HPL score of 0.442 EFlop/s.
LUMI
