• @[email protected]
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      31 year ago

      I mean, one of the core ideas behind these things is that these are highly capable devices that are receiving updates for several times as long as normal tech, so you can just keep using them for ages.

      Apart from the very latest codecs, what else should they do that they aren’t already doing?

    • veroxii
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      31 year ago

      What’s missing in the shield? I have a gen 1 and it still plays anything I throw at it. High bitrate HDR 4k video etc.

      • @[email protected]
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        21 year ago

        I believe its missing h265 and av1 hardware support and while it probably has enough performance to handle those codecs in software, I wasn’t willing to drop more than 100 euros on a 5 year old device without hardware decoding for them

        • veroxii
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          21 year ago

          That’s untrue. I specifically bought it for h265 decoding. Which it does have in hardware. I play h265 content exclusively and never had an issue. Even 80~100mbps blue ray UHD rips. And because it has gigabit ethernet there’s never any buffering issues either from my NAS.

          • @[email protected]
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            21 year ago

            Ah, I guess I was only looking at AV1 support in that case. I only remembered it was missing something I wanted due to its age

      • @[email protected]
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        11 year ago

        Nothing is missing - but mine’s 5 years old and I want to make sure it can be replaced before it finally dies.

  • @[email protected]
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    1 year ago

    They were years ahead of the curve with AI hardware, and they’re well placed to benefit from the AI craze.

    Regardless of whether a company’s AI product is useful, or profitable, they need lot of hardware to make it run.

    • @[email protected]
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      81 year ago

      To illustrate your point, my old GPU, a GTX 1080 from 2016 (basically ancient history - Obama was still president back then) remains a very useful for ML-applications today - and this isn’t even their oldest card that is still relevant for AI. This card was never meant for this, but thanks to Nvidia investing into CUDA and CUDA being useful for all sorts of non-gaming applications, the API became a natural first choice when ML tools that run on consumer hardware started to get developed.

      My current GPU, an RTX 2080, is just two years younger and yet it’s so powerful (for everything I throw at it, including ML) that I won’t have to upgrade it for years to come.

  • @[email protected]
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    111 year ago

    I wish it were as easy to make money on stock prices going down as it is to make money on stock prices going up