But graphics cards, CPUs, RAM, and other components needed in data centers are a far cry from the same components used in home and office desktops and laptops. It’s like trying to sell parts used in F1 race cars on the consumer car market. Technically, there will be buyers, but the vast majority of these parts will remain unsold because demand for such specialized components is negligible in the general consumer market.
The capacity will be freed.
I am sure nvidia can repurpose the dies for consumer focused stuff and call them whatever or put them into business/workstation SKUs instead of enterprise/DC applications.
Same for other products they sell.
They arent as hyper specialized as an F1 (except maybe for those extreme 5U gpu compute nodes. They can hardly repurpose those lol
I’m not sure if it’s fully a bubble, or if the bubble is partly being used as a smoke screen to hide the upfront cost of redesigning computing infrastructure.
A lot of the time, I think AI is just the branding layer. The real goal is top-to-bottom SaaS.
Like, they’re letting these AI companies hold the bag for building datacenters which will then get scooped by various companies like microsoft and google to offer virtualized home computing through a client.
its all a guise to build the foundation then pass it on to a surveillance state as SaaS, who benefits a lot of ai pattern recognition to link camera footage, internet usage, and a ton of other data points
There might.be a little of that going around as well, but the datacenters haven’t actually been built even close to the scale claimed, and the racks in there are kinda useless at serving SaaS webpage stuff, too many GPUs to make it make sense financially.
But graphics cards, CPUs, RAM, and other components needed in data centers are a far cry from the same components used in home and office desktops and laptops. It’s like trying to sell parts used in F1 race cars on the consumer car market. Technically, there will be buyers, but the vast majority of these parts will remain unsold because demand for such specialized components is negligible in the general consumer market.
The capacity will be freed.
I am sure nvidia can repurpose the dies for consumer focused stuff and call them whatever or put them into business/workstation SKUs instead of enterprise/DC applications.
Same for other products they sell.
They arent as hyper specialized as an F1 (except maybe for those extreme 5U gpu compute nodes. They can hardly repurpose those lol
Heyhey, I want a kW-(rain)water cooled tower, speak for yourself! :D
and these chips arnt compatible for personal/customer use too, so it will be wasted.
I could use some of them. But the power bill will make my eyes bleed.
I’m not sure if it’s fully a bubble, or if the bubble is partly being used as a smoke screen to hide the upfront cost of redesigning computing infrastructure.
A lot of the time, I think AI is just the branding layer. The real goal is top-to-bottom SaaS.
Like, they’re letting these AI companies hold the bag for building datacenters which will then get scooped by various companies like microsoft and google to offer virtualized home computing through a client.
This is what it smells like to me.
You won’t own a computer, just a terminal.
You won’t own software, just access to it.
its all a guise to build the foundation then pass it on to a surveillance state as SaaS, who benefits a lot of ai pattern recognition to link camera footage, internet usage, and a ton of other data points
There might.be a little of that going around as well, but the datacenters haven’t actually been built even close to the scale claimed, and the racks in there are kinda useless at serving SaaS webpage stuff, too many GPUs to make it make sense financially.
Didn’t we fight a cold war over this? The Soviets wanted a top down internet and it was more expensive and less capable
Especially since those parts carry a significantly higher premium than consumer parts.
and you know nvidia isnt gonna sell the shit at a reasonable price.