> TL;DW: The 3090 had 3 shunt resistors set up in a way which distributed the power load evenly among the 6 power-bearing conductors. That's why there were no reports of melted 3090s. The 4090/5090 modified the engineering for whatever reason, perhaps to save on manufacturing costs, and the shunt resistors no longer distribute the power load. Therefore, it's possible for 1 conductor to bear way more power than the rest, and that's how it melts.
> The only reason why the problem was considered "fixed" (not really, it wasn't) on the 4090 is that apparently in order to skew the load so much to generate enough heat to melt the connector you'd need for the plug to not be properly seated. However with 600W, as seen on der8auer video, all it takes is one single cable or two making a bit better contact than the rest to take up all the load and, as measured by him, reach 23A.
https://old.reddit.com/r/hardware/comments/1imyzgq/how_nvidi...
edit: replaced power with current... we're talking amps not watts
Yeah, they take soldering for the wire/connector interface, but presumably there are connectors similarly designed with crimp terminals, or it's just something the mfgs will have to deal with.
- 12VHPWR connectors are compatible with 18ga or at best 16ga cables. For 90C rated single core copper wires I've seen max allowed amperages of at most 14A for 18ga and 18A for 16ga. Less in most sources.. Near the connectors those wires are so close they can't be considered single core for purpose of heat dissipation..
Buildzoid: https://www.youtube.com/watch?v=kb5YzMoVQyw
I went 7900 GRE, not even considering Nvidia, because I simply do not trust that connector.
Really depends on the use case. For gaming, normal office, smaller AI/ML or video-work, yeah, it's fine. But if you want the RTX 5090 for the VRAM, then the 24GB of the 7900 XTX won't be enough.
I'm sure there are some use cases for 32gb of vram but most of the cutting edge models that people are using day to day on local hardware fit in 12 or even 8gb of vram. It's been a while since I've seen anything bigger than 24gb but less than 70gb.
I'm not sure what your idea of "day to day" use cases are, but models that fit in 12GB of VRAM tend to be good for like autocomplete and not much more. I can't even get those models to chose the right tool at the right time, even less be moderately useful. Qwen2.5-32B seems to be the lower boundary of a useful local model, it'll at least use tools correctly. But then for "novel" (for me) coding, basically anything below O1 is more counter-productive than productive.
Oft repeated, never explained.
The numbers don't really mean anything and never have. 5080 is faster than the 5070 is faster than the 5060. That's what the number means. The performance gap between tiers isn't and has never been constant.
Everyone who cares to know about generational improvements have indeed compared performance between tiers. No they have never been conctant but the "best" generations clearly had better segmented tiers in their generation compared to prior. Adding "fake" frames to say the 5070 has the performance of the 4090 like Jensen, tells you even Nvidia do this comparison.
You're missing the point. The only thing that makes a 5080 a 5080 is that's what NVIDIA named it. of course comparisons are going to be made but it's meaningless to expect the numbers to correlate to some specific performance gain over the lower tier or previous generation.
The lineup is different every year. The metric that matters is performance per dollar, not the name of the product.
The 80 tier isn't great value this generation. That doesn't make it really a 5070.
https://en.wikipedia.org/wiki/GeForce_RTX_40_series#RTX_4080...
The only thing that nvidia learned from that was to only offer the smaller version.
https://www.tomshardware.com/news/defective-vapor-chamber-ma...
AMD is REALLY bad at software.
What AMD does need right now is:
* Don't cannibalize advanced packaging (which big RDNA4 required) from high-margin and high-growth AI chips
* Focus on software features like upscaling tech (which is a big multiplier and allows midrange GPUs to punch far above their weight) and compute drivers (which they badly need to improve to have a real shot at taking AI chip marketshare)
* Focus on a few SKUs and execute as well as possible to build mindshare and a reputation for quality
"Big" consumer GPUs are increasingly pointless. The better upscaling gets, the less raw power you need, and 4K gaming is already passable (1440p gaming very good) on the current gen with no obvious market for going beyond that. Both Intel and Nvidia are independently suffering from this masturbatory obsession with "moar power" causing downstream issues. I'm glad AMD didn't go down that road personally.
If "midrange" RDNA4 is around the same strength as "high-end" RDNA3, but $300 cheaper and with much better ray tracing and an upscaling solution at least on par with DLSS 3, then that's a solid card that should sell well. Especially given how dumb the RTX 5080 looks from a value perspective.