With the advancements in steamlink, do you think we’ll be able to use more than one source to render? If I have 2 mid desktops, could steamlink get the resource and computing distribution along with the synchronization(or pre-rendering?) to use both machines to stream to my steamdeck?

    • GluWu@lemm.eeOP
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      10 months ago

      I feel like both AMD(ATI) and Nvidia gave up on dual gpu architecture because new next generation single units were immediately putting dual systems to shame with cost and power. There was really no need for the gaming sector to take up networked computing.

      The systems, architecture, logistics, all that stuff has been made for large systems because that’s just necessary. We wouldn’t have AI as we know it without it. The question is will some company think there’s enough profit to make that worth scaling down to consumer hardware.

      As I wrote that I wrote profit, and there is no profit in letting people take their weaker older systems and cluster/ mesh them so you don’t have to buy bigger newer tech. So no, this will never happen. Valve might have done it a while ago just as a side project fuck you, because they used to be like that. But now they sell hardware alongside the big boys. No more fun.

      • conciselyverbose@kbin.social
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        10 months ago

        It won’t happen because the negatives outweigh the positives. There’s so much extra overhead to keeping the cards synced that it’s not worth it.

        Other workloads can do it because they’re inherently different. Gaming is all about extremely precise timing.

  • bionicjoey@lemmy.ca
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    10 months ago

    I work in clustering for HPC and suffice to say, no, this is not something you will be able to do (at least not without rolling a lot of your own code). There’s a lot of computer science theory that says programs need to be specifically crafted to straddle multiple machines.

    • entropicdrift@lemmy.sdf.org
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      10 months ago

      THIS. I’m a software engineer who (among other things) helps Data Scientists optimize their Spark code to run better on clusters.

      It ain’t happening, OP. Each computer would need to be running the full game as well as keeping everything perfectly synced between them. The performance would be straight-up worse than running on one PC in many scenarios. Let alone the frame timing issue you’d get and potential for desyncs between the 2 source PCs.

      Even without the complications of a network stack and the added latency involved, SLI is of dubious value for streaming your PC to another device because for each frame rendered on the secondary card you’d be bottlenecked by the latency of sending the frame back to the primary card before it can be encoded as part of the video stream.

      • bionicjoey@lemmy.ca
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        10 months ago

        In simpler terms, 9 women can’t gestate a baby in one month. Some tasks simply don’t benefit from parallelization.