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jcjohnson
cnn-benchmarks
Python2016–2022
jcjohnson / cnn-benchmarks

cnn-benchmarks

Benchmarks for popular CNN models

4Distinct people
4Mentions
0Explicit recommenders
2.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Benchmarks for popular CNN models

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2016-09-19 04:46:50 UTC to 2022-05-18 20:18:24 UTC.

0122016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC211
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

4 sources
There is an interesting offer by Hetzner that's available for some month now. They provide a dedicated server with a GTX 1080 for ~99e/month (111$/month) with adequate CPU (i7-6700), 64G Memory, 500G disk space and 50TB Traffic - there are also on-demand offerings by GCP and AWS, but I do not think they can match the offer by Hetzner: https://www.hetzner.de/us/hosting/produkte_rootserver/ex51ss.... Keep in mind that I am talking about R&D, in particular training of networks - which has lower expectations on availability than e.g. later inference. Disclosure: I am not affiliated with Hetzner and did not test it yet, but I have a ~40e dedicated machine there for occasional number crunching and everything worked so far (no availability or hardware issues). Furthermore I am not sure about the exact specifications (Memory-Size of GPU) or if th
Read the rest
ere are different types of 1080s that differ significantly in Deep Learning Performance (see also: https://github.com/jcjohnson/cnn-benchmarks).
In Which GPU(s) to Get for Deep Learning

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