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@damonssoul1839: /версия с клаусом/#klausmikaelson #josefmorgan #theoriginals #fyp #recommendations

damonssoul
damonssoul
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Region: DE
Tuesday 28 July 2026 20:27:36 GMT
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Comments

alenka_domoy
алëнка :
Почему все выбирают деймона и Стефана, если есть он😍
2026-08-01 10:08:59
69
stray_cat12
SALVATORE :
почемуууу ему так подходииит
2026-07-30 08:03:21
174
assya_1839
assya.👼🏼 :
Я НЕ МОГУ ПЕРЕСТАТЬ РЕПОСТИТЬ ВАШИ ВИДЕО ШО ВЫ ДЕЛАЕТЕЕЕЕ
2026-07-30 06:55:30
780
svetka0047
se fue el hijo de puta x :
даааа ждала с нимммм
2026-07-31 07:55:13
26
liron.lmalovna
Liron Lmalovna :
умоляю сделайте с каем
2026-07-30 08:37:49
16
liliivioling2
ian :
не останавливайся никогда
2026-07-30 11:09:28
10
el_wna
el_wna :
2026-07-30 20:21:18
5
dkk8751
Dari.ay :
*понравилось пользователю Кэролайн Форбс*
2026-07-30 08:42:06
13
assya_1839
assya.👼🏼 :
молодой(1000 лет человеку)
2026-07-30 21:44:55
5
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US export controls were supposed to keep China behind on AI chips. Here's what actually happened. On a per-chip basis, Huawei's domestic answer, the Ascend 910C, is roughly a third of an Nvidia Blackwell. So Huawei's response was not a better chip. It was more of them, wired together more cleverly. The CloudMatrix 384 system bolts 384 Ascend parts into a single machine, and lands about 1.7 times the compute and 3.6 times the memory of Nvidia's flagship rack. It also burns 3.9 times the power. Except industrial electricity in China's western green-energy belt runs $0.03 to $0.06 a kilowatt-hour. American data-center hubs pay $0.07 to $0.15. Higher power draw on electricity at a fraction of the price still comes out ahead. When DeepSeek shipped V4 in April 2026, its technical report noted it had validated the system on both Nvidia and Huawei hardware. For the first time, a trillion-parameter Chinese model formally certified the domestic chip for production work. Nvidia’s CUDA software moat, the thing everyone insisted was unbreachable, is being walked across in plain sight. Meanwhile, the restrictions forced the efficiency that now eats American lab margins. DeepSeek reported a training cost of $5.6 million for R1, against the tens to hundreds of millions everyone assumed. By mid-2026, Chinese labs held four of the top five positions among open-weight models. The price gap widened to somewhere between 10 and 30 times. A chip can be embargoed. A free download cannot. The restrictions are what forced the efficiency and the domestic chip program in the first place. The controls didn't stop the competition, but they did shape it into something harder to fight. Some might call that an “own goal,” but I’ll let you draw your own conclusions.
US export controls were supposed to keep China behind on AI chips. Here's what actually happened. On a per-chip basis, Huawei's domestic answer, the Ascend 910C, is roughly a third of an Nvidia Blackwell. So Huawei's response was not a better chip. It was more of them, wired together more cleverly. The CloudMatrix 384 system bolts 384 Ascend parts into a single machine, and lands about 1.7 times the compute and 3.6 times the memory of Nvidia's flagship rack. It also burns 3.9 times the power. Except industrial electricity in China's western green-energy belt runs $0.03 to $0.06 a kilowatt-hour. American data-center hubs pay $0.07 to $0.15. Higher power draw on electricity at a fraction of the price still comes out ahead. When DeepSeek shipped V4 in April 2026, its technical report noted it had validated the system on both Nvidia and Huawei hardware. For the first time, a trillion-parameter Chinese model formally certified the domestic chip for production work. Nvidia’s CUDA software moat, the thing everyone insisted was unbreachable, is being walked across in plain sight. Meanwhile, the restrictions forced the efficiency that now eats American lab margins. DeepSeek reported a training cost of $5.6 million for R1, against the tens to hundreds of millions everyone assumed. By mid-2026, Chinese labs held four of the top five positions among open-weight models. The price gap widened to somewhere between 10 and 30 times. A chip can be embargoed. A free download cannot. The restrictions are what forced the efficiency and the domestic chip program in the first place. The controls didn't stop the competition, but they did shape it into something harder to fight. Some might call that an “own goal,” but I’ll let you draw your own conclusions.
🎁🙌 Ένα δώρο που θα τον συντροφεύει για πάντα! 🥹 Η συγκλονιστική ιστορία πίσω από την κίνηση που συγκίνησε τον Στέλιο Αργυρόπουλο! #polo #greece #greeceteam #sports #athletiko
🎁🙌 Ένα δώρο που θα τον συντροφεύει για πάντα! 🥹 Η συγκλονιστική ιστορία πίσω από την κίνηση που συγκίνησε τον Στέλιο Αργυρόπουλο! #polo #greece #greeceteam #sports #athletiko
#a #zozoroz8 #مالي_خلق_احط_هاشتاقات #اكسبرور
#a #zozoroz8 #مالي_خلق_احط_هاشتاقات #اكسبرور

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