Yeah, I think that’s the running theory of the corporate backup plan if/when AI falls through and they need to find a use for all the data center resources.
You’re right, but I think you underestimate the intersection of what’s theoretically possible and desperation.
We’ll probably see multiple different things. Some of the equipment will be repurposed for other cloud GPU workloads. We’ll probably see some companies try to make adapters and drivers to get the server hardware compatible with consumer desktops (there’s someone who did a writeup, either on hacker news or hack a day who got older server RAM working on a desktop with an adapter and Linux tomfoolery). Buy up the stuff being sold at a loss, strap their adapter on it, and sell for profit.
But on a low level, all this shit is turing complete. There will be performance losses and considerable overhead, but in theory translation layers and emulation should be able to be written to effectively convert GPU compute to whatever other format is needed.
If it’s taking a total loss vs squeezing the last squirts of profit out, I think there’s going to be attempts to squeeze.
Why not rent and stream the games for only $99.99 per month. Subscribe now!
Well… Okay. But only if I can keep paying the subscription fee for the rest of my life in order to maintain access.
That’s why we’ve created the GenPro tier of subscriptions, the first generational loan. Get it now and your kids can help pay of back!
Streaming only replaces storage, you actually need more RAM than running it from fixed memory.
Nah, you just need to show it like a video basically.
There is always a latency issue.
https://www.pcgamer.com/heres-how-stadias-input-lag-compares-to-native-pc-gaming/
Not when the processing happens in one of the many data centers that’ll be sold off when the AI bubble bursts.
I fully expect them to start heavily advertising VDI in the near future.
You still need to run streamed games in RAM. A lot of RAM.
Well…we’ll go back to Zork and Venture.
But Zork needs 64Kb ram!
No you don’t. I can run moonlight on a potato. All the processing is server side.
Yeah, I think that’s the running theory of the corporate backup plan if/when AI falls through and they need to find a use for all the data center resources.
An AI data center cannot be used to run virtual machines. Cannot be converted into a gaming streaming service. They don’t work that way
You’re right, but I think you underestimate the intersection of what’s theoretically possible and desperation.
We’ll probably see multiple different things. Some of the equipment will be repurposed for other cloud GPU workloads. We’ll probably see some companies try to make adapters and drivers to get the server hardware compatible with consumer desktops (there’s someone who did a writeup, either on hacker news or hack a day who got older server RAM working on a desktop with an adapter and Linux tomfoolery). Buy up the stuff being sold at a loss, strap their adapter on it, and sell for profit.
But on a low level, all this shit is turing complete. There will be performance losses and considerable overhead, but in theory translation layers and emulation should be able to be written to effectively convert GPU compute to whatever other format is needed.
If it’s taking a total loss vs squeezing the last squirts of profit out, I think there’s going to be attempts to squeeze.
since its mostly use for AI, it will likely be left to “rot” as there are no use for it anymore.