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Path: ...!eternal-september.org!feeder2.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail From: Paul S Person <psperson@old.netcom.invalid> Newsgroups: rec.arts.sf.written Subject: Re: ongoing infrastructure changes with AI in the USA Date: Mon, 18 Nov 2024 08:35:44 -0800 Organization: A noiseless patient Spider Lines: 52 Message-ID: <21rmjj5vlg3cb4jcr6dbu3f9m07v46hdru@4ax.com> References: <vh3dim$2ehti$1@dont-email.me> <RfoZO.6$7ZKc.5@fx34.iad> <vhdf20$pbs3$1@dont-email.me> <mXH_O.18406$OVd1.4832@fx10.iad> MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: quoted-printable Injection-Date: Mon, 18 Nov 2024 17:35:45 +0100 (CET) Injection-Info: dont-email.me; posting-host="34d39f943cd6e029e175876ccf7bee6b"; logging-data="1410276"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX1+E7/KQouFhiG9bCCA9RomAixPqhWEUzEw=" User-Agent: ForteAgent/8.00.32.1272 Cancel-Lock: sha1:7jJq3lQHvndrzYTmLnFO3B5QiKc= Bytes: 3317 On Mon, 18 Nov 2024 14:12:34 GMT, scott@slp53.sl.home (Scott Lurndal) wrote: >Lynn McGuire <lynnmcguire5@gmail.com> writes: >>On 11/14/2024 9:00 AM, Scott Lurndal wrote: >>> Lynn McGuire <lynnmcguire5@gmail.com> writes: >>>> I am on the periphery of the ongoing blanketing of the USA with AI >>>> servers. I have a few facts that might just blow you away. >>>> >>>> The expected number of AI servers in the USA alone is presently a >>>> million (SWAG). The current cost for a single AI server is $500,000= US. >>>> 1,000,000 x $500,000 =3D $500 billion US of capital. >>>=20 >>> First, What is your source for this data? Be specific. >>>=20 >>> Second, define precisely what an "AI server" is. >> >>BTW, I should have mentioned that the AI Servers are not uniform in any= =20 >>of their aspects. I just gave the specs for one of the high end=20 >>machines that the manufacturer has a three month waiting list for. > >Some of us actually produce ML hardware. The term AI is an marketing >gimic, not reality. > >ML hardware ranges from custom logic in a desktop CPU to massively = parallel >specialized hardware (e.g. plug-in GPUs). An ML-enabled server can >range from a simple ML accelerator block in the CPU itself (Apple, >Google, Amazon, Marvell) to a large, expensive, power-hungry GPU from = Nvidia. > >Yes, there are large racks of ML-enabled servers, particularly for >training. No, they're not really anything special other than using >high-end, high performance CPUs, GPUs and high-speed interconnects >(Infiniband, 100 and 400Gb ethernet). Basically no different >than any supercomputer in scale and power requirements. 1 million of them will rather increase the power requirements, possibly causing shortages. I would say "perhaps Congress should pass a law allowing local power systems to refuse to connect to these things" but, judging from the last two years, Congress will be doing well to be sufficiently organized by Jan 6 to do its duty to the country, never mind passing any laws any time soon. Well, except a massive Tax Cut for 1%-ers, of course. --=20 "Here lies the Tuscan poet Aretino, Who evil spoke of everyone but God, Giving as his excuse, 'I never knew him.'"