Earlier quoted context omitted.
I think the sentiment is usually paired with discussion about those products as long-lasting, revenue-generating things. Many of those ended up feeding back into Search and Ads. As an exercise, out of the list you described, how many of those are meaningfully-revenue-generating, without ads? A phrasing I've heard is "Google regularly kills billion-dollar businesses because that doesn't move the needle compared to an…
They bought YouTube but you have to give Google a hell of a lot of credit for turning it into what it is today. Taking ownership of YouTube at the time was seen by many as taking ownership of an endless string of copyright lawsuits, suing them into oblivion.
IBM CEO says there is 'no way' spending on AI data centers will pay off
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Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#402> Krishna also referenced the depreciation of the AI chips inside data centers as another factor: "You've got to use it all in five years because at that point, you've got to throw it away and refill it," he said This doesn't seem correct to me, or at least is built on several shaky assumptions. One would have to 'refill' your hardware if: - AI accelerator cards all start dying around the 5 year mark, which is possib…
Isn’t that what Michael Burry is complaining about? That five years is actually too generous when it comes to depreciation of these assets and that companies are being too relaxed with that estimate. The real depreciation is more like 2-3 years for these GPUs that cost tens of thousands of dollars a piece. https://x.com/michaeljburry/status/1987918650104283372
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#403Earlier quoted context omitted.
It’s far more extreme: old servers are still okay on I/O, and memory latency, etc. won’t change that dramatically so you can still find productive uses for them. AI workloads are hyper-focused on a single type of work and, unlike most regular servers, a limiting factor in direct competition with other companies.
I mean you could use training GPUs for inference right? That would be use case number 1 for a 8 * a100 box in a couple of years. It can also be used for non IO limited things like folding proteins or other 'scientific' use cases. Push comes to shove im sure an old A100 will run crysis.
Yeah, just like gas, possible uses will expand if AI crashes out, but:
* will these uses cover, say, 60% of all this infra?
* will these uses scale up to use that 60% within the next 5-7 years, while that hardware is still relevant and fully functional?
Also, we still have railroad tracks from the 1800s rail mania that were never truly used to capacity and dot com boom dark fiber that's also never been used fully, even with the internet growing 100x since. And tracks and fiber don't degrade as quickly as server hardware and especially GPUs.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#404Earlier quoted context omitted.
I'm looking forward to buying my own slightly used 5 million square ft data centre in Texas for $1
Tired: homelabbers bringing decommissioned datacenter gear home. Wired: homelabbers moving into decommissioned datacenters.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#405Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#406Earlier quoted context omitted.
Holy cow. I have 96GB of DDR5 I bought at start of year for a machine which never materialized. Might have to flip it.
Never in my dreams I could imagine PC parts could be an investment. Someone should start ETF tracking the prices.
I just checked, the kit I bought in February was $270, today it is showing up for $1070. Woof. Now I have to decide if I should keep it on the off chance I do get around to that machine or dump it while the getting is good. Then again, who wants to buy RAM of unknown provenance unless they themselves are looking to scam the seller.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#407Earlier quoted context omitted.
I'm a little bit curious about this. Where do all the hardware from the big tech giants usually go once they've upgraded?
In-house hyperscaler stuff gets shredded, after every single piece of flash storage gets first drilled through and every hard drive gets bent by a hydraulic press. Then it goes into the usual e-waste recycling stream (ie. gets sent to poor countries where precious metals get extracted by people with a halved life expectancy). Off-the-shelf enterprise gear has a chance to get a second life through remarketing channels…
Super environmentally friendly.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#408IBM might not have a data strategy or AI plan but he isn’t wrong on the inability to generate a profit. A bit of napkin math: NVIDIA claims 0.4J per token for their latest generation 1GW plant with 80% utilisation can therefore produce 6.29 10^16 tokens a year. There are ~10^14 tokens on the internet. ~10^19 tokens have been spoken by humans… so far.
Don't know what the source is, but it feels missing a few orders of magnitude. Surely it only counts text? I can't imagine there are only so few data on the internet if you count images and videos.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#409I would add an addendum to this -- there is no way the announced spending on AI data centers will all come to fruition. I have no doubt that there will be a massive build-out of infrastructure, but it can't reach the levels that have been announced. The power requirements alone will stop that from happening.
Re: IBM CEO says there is 'no way' spending on AI data centers will pay off
#410Earlier quoted context omitted.
I don't think Google is bad at building products. They definitely are excellent at scaling products. But I reckon part of the sentiment stems from many of the more famous Google products being acquisitions orignally (Android, YouTube, Maps, Docs, Sheets, DeepMind) or originally built by individual contributors internally (Gmail). Then here were also several times where Google came out with multiple different products…
Why wouldn't you count things initially made by individual contributors at Google?