Alot of people are saying SMIC is doing 7nm production currently with the new scanner.Yulangsheng is essentially SiCarrier (plus CASAC and some other government backers), which in turn is just Huawei but legally distinct. The machine installed would be the same ones they announced at SemiCon China this year. Given that a substantial number of engineers at SiCarrier are ex-ASML there's a good chance that it will be similar in design. How well it performs? No idea, but definitely better than the SSA800.
Also, just because I have some insider knowledge doesn't mean I know everything, or that everything I have been shown is correctI'm only this certain about SSA800 because what I have seen matches up with publically available information.
Yeah right. Grammar.a) Grammar, please. Difficult (impossible, for me) to understand.
b) Even though the semantic meaning of the sentence is difficult to understand, the syntax of "If you have insider tell us more about..." is clear. Aperature05 has been polite and has not insisted on their statements being the absolute truth and has also been reasonable in providing evidence and arguments to support the statement that they make. Nothing to provoke the "well, if you're such a know-it-all, what about [blank]" attitude.
I'd like to point out that you've also made claims that you provide zero substantiation for (links, insider info, circumstantial evidence, or otherwise):
Considering that the computing power of Ascend 910C(2025, FP16 800TFLOPS) is close to that of A100 SXM(2020, FP16 Tensor Core 624 TFLOPS), and the computing power of Ascend 970(2028, FP8 4000 TFLOPS) shall be close to that of H100 SXM(2023, FP8 Tensor Core 4000 TFLOPS), so the computing power gap between the most advanced AI chips of US and China is around 5 years? Does this indicate that the EUV would not be possibly put into chip production in China at least until 2028?(Considering that part of the performance gap between Huawei chips and NVIDIA chips is due to outdated manufacturing processes.)not sure if this has been posted:
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You are quoting Dense numbers for Huawei and Sparse numbers for Nvidia. That's what Nvidia uses in marketing materials with a tiny asterisk and footnote. Nvdia H100 and H200 has FP8(dense) of only 1.9 PFLOPS. Basically you can divide the numbers that appear in Nvidia marketing materiels by 2 to get the actual number to compare with other brands. Previously Nvidia used to publish both numbers, but nowadays they only post the *with Sparsity* number to make it look much better.Considering that the computing power of Ascend 910C(2025, FP16 800TFLOPS) is close to that of A100 SXM(2020, FP16 Tensor Core 624 TFLOPS), and the computing power of Ascend 970(2028, FP8 4000 TFLOPS) shall be close to that of H100 SXM(2023, FP8 Tensor Core 4000 TFLOPS), so the computing power gap between the most advanced AI chips of US and China is around 5 years? Does this indicate that the EUV would not be possibly put into chip production in China at least until 2028?(Considering that part of the performance gap between Huawei chips and NVIDIA chips is due to outdated manufacturing processes.)
I think computing power should also factor in the price per GPU card. Huawei's individual cards may have lower performance but should be cheaper. Building servers with a large number of chips might not necessarily be inferior to NVIDIA's solutions.Considering that the computing power of Ascend 910C(2025, FP16 800TFLOPS) is close to that of A100 SXM(2020, FP16 Tensor Core 624 TFLOPS), and the computing power of Ascend 970 (2028, FP8 4000 TFLOPS) shall be close to that of H100 SXM(2023, FP8 Tensor Core 4000 TFLOPS), so the computing power gap between the most advanced AI chips of US and China is around 5 years? Does this indicate that the EUV would not be possibly put into chip production in China at least until 2028?(Considering that part of the performance gap between Huawei chips and NVIDIA chips is due to outdated manufacturing processes.)
you can hook up with your insider for EUV info?Yulangsheng is essentially SiCarrier (plus CASAC and some other government backers), which in turn is just Huawei but legally distinct. The machine installed would be the same ones they announced at SemiCon China this year. Given that a substantial number of engineers at SiCarrier are ex-ASML there's a good chance that it will be similar in design. How well it performs? No idea, but definitely better than the SSA800.
Also, just because I have some insider knowledge doesn't mean I know everything, or that everything I have been shown is correctI'm only this certain about SSA800 because what I have seen matches up with publically available information.
Well, that's a bummer. It's seems SMEE's reputation for incompetence wasn't unfair.AFAIK it had incredibly high defect rates and they never got it work for more than testing runs
there is a lot to this that people can read and figure out.not sure if this has been posted:
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