Why are they going back to 28nm?
This is a new article about the historical usage of 28nm.
Kepler, Nvidia's Strong Start on 28 nm
21–30 of 64 posts
Re: Kepler, Nvidia's Strong Start on 28 nm
#22Earlier quoted context omitted.
This is not a good comparison. Nvidia doesn't have a fab, but they are the lead player in the AI chip space. Intel had both and look where it got them. TSMC has a good model, and you can basically take any of your designs for the same node and manufacture it in any of their plants. Same strategy can be applied to Samsung, and they already help a lot on the memory segment. The new HBM3E memory chips for H200s might be…
Intel was infected with marketing people who diseased the entire C-Suite and drained the company for 8 years without doing anything other than make up new marketing names for the 5000-11000 series of chips and their stagnant iGPUs. That level of thievery would kill any leading company. ..
Intel actually did a lot in the last decade. Skylake alone was a massive improvement over the previous generation. AVX-512, countless open source projects—not to mention Optane, which was one of the most radical innovations in hardware in years. They did some really cool stuff with Altera IP, but the market didn't really care for it as much as it probably should have. Much of the value of Mobileye happened under Intel's ownership, too.
You mention their iGPUs, but their iGPUs actually got radically better in the timespan you mention; Iris, if properly cooled and not memory-choked, was actually pretty decent for a lot of purposes.
It does and historically has had a pretty terrible board, and its management hasn't been the greatest, but people who complain about them doing nothing for most of a decade generally are making a reactionary take about the lack of post-Skylake microarchitectures, while ignoring that pretty much everyone's performance gains got swallowed by vulnerability mitigations for years because they care about video games more than safety.
Re: Kepler, Nvidia's Strong Start on 28 nm
#23Earlier quoted context omitted.
AMD isn't asleep. MI300x announcement on Dec 6th.
How is AMD addressing CUDA dominance?
Investing into making their stuff work with the abstracted libraries. Pytorch etc. Collaboration with Microsoft to make their hardware easier to get time on and test with. Starting to support tooling on their lower tier consumer GPUs.
Re: Kepler, Nvidia's Strong Start on 28 nm
#24Samsung has a fab. Anyone knows why they don't want to enter the game and create an AI chip.
Don't they already create the majority of the world's AI chips? Their GPUs?
Re: Kepler, Nvidia's Strong Start on 28 nm
#25[flagged]
> There are is a new wave of silicon companies that use photonics, in memory compute, deterministic/fogs data flow, etc
Those innovations are really cool sounding and make for great press releases, but are much less amenable to third-party benchmarking and analysis on account of those "innovations" largely still being stuck in the lab and small-scale proof of concept products, whereas Nvidia's GPUs are mass-market products that actually ship.
Re: Kepler, Nvidia's Strong Start on 28 nm
#26Earlier quoted context omitted.
AMD isn't asleep. MI300x announcement on Dec 6th.
How is AMD addressing CUDA dominance?
There have been several announcements:
"Azure announces new AI optimized VM series featuring AMD's flagship MI300X GPU" https://news.ycombinator.com/item?id=38280974
Doubling down on ROCm: https://www.theverge.com/23894647/amd-ceo-lisa-su-ai-chips-n...
Putting resources into pytorch: https://pytorch.org/blog/experience-power-pytorch-2.0/
Re: Kepler, Nvidia's Strong Start on 28 nm
#27> Nvidia’s Fermi architecture was ambitious and innovative, offering advances in GPU compute along with features like high tessellation performance. However Terascale 2’s more traditional approach delivered better power efficiency. Fermi was given the nickname "Thermi" for a good reason. AMD marketing had a field day: https://www.youtube.com/watch?v=2QkyfGJgcwQ It didn't help that the heatsink of the GTX 480 resemble…
Well AMD marketing turned out to be a joke, remember Poor Volta? I still think AMD haven't even recovered from that. There marketing for GPUs have been terrible since.
Re: Kepler, Nvidia's Strong Start on 28 nm
#28Earlier quoted context omitted.
This is not a good comparison. Nvidia doesn't have a fab, but they are the lead player in the AI chip space. Intel had both and look where it got them. TSMC has a good model, and you can basically take any of your designs for the same node and manufacture it in any of their plants. Same strategy can be applied to Samsung, and they already help a lot on the memory segment. The new HBM3E memory chips for H200s might be…
Intel was infected with marketing people who diseased the entire C-Suite and drained the company for 8 years without doing anything other than make up new marketing names for the 5000-11000 series of chips and their stagnant iGPUs. That level of thievery would kill any leading company. ..
[dead]
Re: Kepler, Nvidia's Strong Start on 28 nm
#29Earlier quoted context omitted.
Intel was infected with marketing people who diseased the entire C-Suite and drained the company for 8 years without doing anything other than make up new marketing names for the 5000-11000 series of chips and their stagnant iGPUs. That level of thievery would kill any leading company. ..
Intel actually did a lot in the last decade. Skylake alone was a massive improvement over the previous generation. AVX-512, countless open source projects—not to mention Optane, which was one of the most radical innovations in hardware in years. They did some really cool stuff with Altera IP, but the market didn't really care for it as much as it probably should have. Much of the value of Mobileye happened under Inte…
you forgot to mention they did a great job building a hyper optimized 14nm process, spent at least 5 years on it...