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Oh thank heavens, computing hardware that the AI companies will not buy all of the supply of.
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It depends on the number of channels. The Xring O3 appears to have 4×24-bit channels, so 113.8 GB/s. The iPhone 17 Pro's memory bandwidth is ~76.8 GB/s. Seems fine?
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According to Mark Gurman, the base M6 is bumped up to 200 GB/s of memory bandwidth with a single core performance bump of 15%.
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If I recall correctly, Strix Halo gets about 450G/s. The M series processors get between 400 and 800G/s, and an actual NVIDIA card is like 5.5T/s. 113G/s is pretty slow for inference.
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The CPU is for mobile phones. An Nvidia H200 has 4.8TB/s. An RTX 5090 has 1.8TB/s. Both use ~700W - not comparable with a phone.
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Strix Halo is 256 GB/s.
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Not every computing platform is expected to do fast inference.
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Maybe,but memory bandwidth is much better than on the DGX Spark at least.
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I hate this RAMpocalypse so much
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On the other hand, this year's RAMpocalypse could be 2028's RAMbundance ;P
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RAMvana was right there!!
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