#inferencing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #inferencing, aggregated by home.social.
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Epoch AI’s latest report reveals how inference costs are dropping, frontier AI is becoming accessible on consumer-level hardware, and compute infrastructure is expanding rapidly — fueling broader adoption and demand for AI GPUs, servers, and efficient compute setups. These shifts are reshaping the AI hardware market... Read more: https://www.buysellram.com/blog/what-epoch-ais-2025-data-insights-mean-for-the-ai-hardware-market/
#AIHardware #GPU #AIMarketTrends #AICompute #AI #DataCenter #Inferencing #TechInsights #SecondaryMarket #Technology
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@drahardja I wouldn’t be surprised if VR is the tech that breaks the camels back and necessitates #Photonics, or #OpticalChips.
You can parallelize computing a lot more with #OpticalLogic , and early #OpticalProcessors are rolling off manufacturing floors and being used for #ML #Inferencing and #GraphicsProcessing.
With the right #Technology you could with zero latency composition #MR layers using light instead of electricity.
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@drahardja I wouldn’t be surprised if VR is the tech that breaks the camels back and necessitates #Photonics, or #OpticalChips.
You can parallelize computing a lot more with #OpticalLogic , and early #OpticalProcessors are rolling off manufacturing floors and being used for #ML #Inferencing and #GraphicsProcessing.
With the right #Technology you could with zero latency composition #MR layers using light instead of electricity.
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@drahardja I wouldn’t be surprised if VR is the tech that breaks the camels back and necessitates #Photonics, or #OpticalChips.
You can parallelize computing a lot more with #OpticalLogic , and early #OpticalProcessors are rolling off manufacturing floors and being used for #ML #Inferencing and #GraphicsProcessing.
With the right #Technology you could with zero latency composition #MR layers using light instead of electricity.
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@drahardja I wouldn’t be surprised if VR is the tech that breaks the camels back and necessitates #Photonics, or #OpticalChips.
You can parallelize computing a lot more with #OpticalLogic , and early #OpticalProcessors are rolling off manufacturing floors and being used for #ML #Inferencing and #GraphicsProcessing.
With the right #Technology you could with zero latency composition #MR layers using light instead of electricity.