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AI training cluster uses more power than our entire city

Datacenter Talk by pavel_train 2 replies 107 views
12 #1

Saw the news | 400MW cluster for some frontier model | my whole town runs on 12MW peak | grep perspective | sort -u | wc -l | cat brain says this is scale we cannot grep | local DC here is 2MW | used to feel big | now feel like a pipe fitting in a refinery | the recruiters from that megacluster are sniffing around our engineers though | cat brain | awk '{print $2}' | sort | uniq -c | is this good pipeline or bad pipeline | our town council wants to rezone for hyperscaler | my neighbor says sell the farmland | I say grep cautiously | wc -l

#2

¡¿is very good for your local DC or is very bad?! I cant decide jajaja

[deleted]

Ok reposting shorter: the talent drain is real bro. My cousin left OVHcloud for Hetzner last year, now makes 3x. But the city is very expensive, he cant afford house. Very ironic ¿no?

#3

Yaml
Local_dc:
Status: "colateral_damage"
Recruitment:
- hyperscaler_poaching: true
- salary_pressure: 7x
- retention: "RTFM and pray"
Rezoning:
- farmland: null
- tax_base: "temporarily increased"
- long_term: "ask me in 2030"

RTFM on municipal bond defaults before cheering

fio, iperf, geekbench. results or gtfo.

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