The most unexpected and pleasant part of switching from an iPhone XS to the iPhone 17 is the 8 GB of RAM. It’s really nice that a YouTube video is still there after spending some time browsing
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RDNA5 is expected to include dedicated matrix cores
RDNA4 added BVH8 but in software with intersections running on a dedicated hardware, RDNA 5 will have a new Radiance Cores which should handle BVH
I think RDNA5 CU will be structurally similar to Ada
youtu.be/1LCMzw-_dMw?t=290
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At this point, I guess I’ll just have to accept the fact that I’ll never be able to use a modern phone as comfortable as the X/XS ever again.
The biggest markets are 6.3” and 6.9”, smaller market in the middle and foldable, miserable market for below 6.3”
youtu.be/nvW9aXvSyY4?si=ci5E…
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It is sad that we probably need multiple new generations of gpus until we can play it natively in 4K
youtube.com/watch?v=JyHBDhwo…
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My expectations for Zen 6 and Top RDNA5 sku
CPU: 10% IPC + 10% clocks, 8000 DDR5 1:1, ~4000 ST Geekbench 6
GPU: 80-96CU, 256bit, 24GB of memory(3GB GDDR7 chips), 40-50% over 9070XT
My opinion on this product will be based on whether they can hit, exceed or miss this expectations
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One day desktop will be respected and we will be getting this kind of previews about the next gen product performance long in advanced too 🤓
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This looks like 36MB of L3 cache, but i thought it would take less space. I would expect 48MB to take as much space as 12 cores
I think Zen 6 would benifit more from a bigger L1 instruction cache(48KB or 64KB)
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Appreciation to @Faintmaster post. I hope UDNA breaks this trend, we don't need another Blackweel
AMD reversed engineered Pascal = RDNA (WGP/dual CU, wave32, way higher clocks, better memory compression)
Turing = RDNA2 (RT, mesh shader)
Ampere = RDNA3 (bigger registers, dual FP32, TC3 tho kinda delayed because original is from Volta/Turing)
Ada = RDNA4 (BVH8, SER, FP8)
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Finally, for a moment i thought we are not going to get some outlandish shit this time. But now i can sleep in peace
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