25%
12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
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14.09.2021
$(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq
0,32
1,33
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3,35
4,36
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6,38
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8,40
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24,56
25
25%
03.02.2022
,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
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9,41
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31,63
The lstopo tool
25%
17.03.2021
” on a single special motherboard. Each node was a Transmeta Efficeon processor connected to the other nodes over Gigabit Ethernet (GigE). Each node also had 512MB of memory, and the system had a 160GB hard drive
25%
05.08.2024
spans 100 million elements, taking up 800MB of RAM – not at all an unusual size in any kind of numerical computing. This system is equipped with 8GB of RAM, so allocating the array itself is no trouble
25%
09.09.2024
in the list of Docker container images:
$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
ubuntu-24.04-dev1 latest 2358ab17d70c 13 minutes ago 149MB
Note
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11.05.2021
.50GHz
Processor base frequency 2.5GHz
Max turbo frequency 4.5GHz
Cache 8MB
Four cores (eight with hyper-threading)
45W TDP
8GB DDR4-2933 memory
Maximum of two memory channels
25%
05.12.2016
], Calico [19], Canal [20], and Open vSwitch [21].
The API server lets you read the details of the services with the kubectl get service command, which connects the services with a load balancer [22
25%
29.09.2020
and doubles the cache size (from 3 to 6MB), in exchange for a small drop in baseline clock speed – 2.3 to 2.2GHz (peak drops from 3.2 to 3.1GHz).
Major Surgery
Legend has it that no one has ever
opened
25%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52
