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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 = $500 billion US of capital.
First, What is your source for this data? Be specific.
Second, define precisely what an "AI server" is.
BTW, I should have mentioned that the AI Servers are not uniform in any
of their aspects. I just gave the specs for one of the high end
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.
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