No, they would not be easy for three reasons -
There ain't any now, but there might be in the next 5 years, Nvidia as usual will drive it, 3 more gens to go - decent chance that will happen.
I am mostly agreeing with you.
RTRT's been with us in mainstream GPUs since 2018 and nothing changed.
I think it’s a physics thing we’ve been defying in the desktop space. That we are at the point we have 1k psus and and anti sag bars now is a sad state of affairs that they don’t have as much bandwidth to accommodate in the console space.
It's changing, but slowly thanks to cheapMD's cheapskating, Indiana probably the first game that actually requires RT, and they did good, more of this will follow, we just need x10 RT perf over next 3 gens.
never say, never, we don't know what devs will do in future. Even 4070 can run C2077 with DLSS Bal/perf mode + FG at 1440p. PS6 will be more powerful. Just need 32Ram in PS6
Same L2 cache, no MALL, same ROPs. Lots of things could have been improved but weren't for cost reasons (and then Sony charged $700 anyway because Xbox is dead).
Physics man. If they had been serious the clocks wouldn’t have mattered as much with more of the hardware like Kepler said and a sizable Infinity Cache to balloon out the functioning memory bandwidth and keep power usage in check.
They could not clock 300 mm RDNA2+ to 2.5-2.7 on N4 and stay within 250 watts? It's the memory and also they did not want too much perf as otherwise PS6 won't be as good.
For the HPC/AI/datacenter market segments it's basically guaranteed.
Maybe HBM for pro cards but 3gb memory with 512 bit bus for semi-professional cards ??
I doubt it. AMD should focus big cards on big customers like Meta/etc. Small fry will never have the scale/money to justify tuning their software to AMD's hardware. And Meta/etc want much bigger than something like Vega 20.
Nope.
Metro Exodus EE is 4 years old lol.
It looks like ugly upsampled vomit (which it is).
Geohot should be sent to gitmo.
Vega20 was a meme to restart GPGPU roadmap, not an actual product lmao.
I used to think that there would be a market for 'consumer inference' given the activity in r/localllama and the quality of the downloadable ai models. Heck I even built my own gpu-mining setup for local inferencing purposes. But in a very short space of time, the price for a million tokens generated from various cloud providers have crashed, and now I'm being skeptical that such a niche market will get anything other than the usual Pro-sumer workstation cards with the usual high price.
No point using 10x speed memory if you don't have enough cores to use it, plus it physically takes like equivalent 4-5 bits of normal RAM, and yields, and memory makes want 60% gross margins too, and you get very high speed from a number of stacks, so doing just 24 GB won't get you top speed etc etc
It's explicitly because HBM is expensive.
On top of this it became 3rd pillar for manufacturers to shift production - before they could decide to make DRAM or NAND, but now they can shift to HBM, thus avoiding having to make cuts to DRAM production to keep prices up, very nice for them at the moment...
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