Chinese semiconductor industry

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daifo

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Some fans have gotten Loongson 3A6000 units for preview and videos are slowing coming out. I remember a watching videos of a hobbyist reviewing his 3A3000 during covid and it was stuttering at playing hd video on youtube/bilibil. He didn't run any benchmarks but my guess was that it was running a bit better than my 15 year old core 2 duo. 3-4 years later, Loongson is near 10th gen i3/i5.

Even with binary translation and wine emulation, speed looks reasonable. Early day Macs and current Chromebook didn't become popular because of processor power alone. The question is how will Loongson expand its market share in the crowded cpu space.


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3a5000 has 4 cores and 4 threads
3a6000 has 4 cores and 8 threads
i5-10400 has 6 cores and 12 threads but you can turn off cores so the test below is at 4 core too.

Unixbench
3a5000 4950
3a6000 8661
i5-10400-4 9923
i5-10400-6 10917


Coremark
3a5000 14926
3a6000 21186
i5-10400-4 21186
i5-10400-6 32854

7zip
3a5000 10615/10530 3039/2908
3a6000 20215/19580 3968/3561
i5-10400-4 27450/25711 5231/4872
i5-10400-6 38426/36763
 

tokenanalyst

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Haiguang Information's net profit in the first half of the year increased by 40%​


Haiguang Information released its semi-annual report. In the first half of the year, the operating income was about 2.612 billion yuan, a year-on-year increase of 3.24%; the net profit was about 677 million yuan, a year-on-year increase of 42.35%; 42%; basic earnings per share was 0.29 yuan, a year-on-year increase of 20.83%.In the second quarter, Haiguang Information’s revenue was 1.45 billion yuan, an increase of 24.89% from the previous quarter; its net profit was approximately 438 million yuan, an increase of 83% from the previous quarter.

Haiguang Information attributed the large increase in net profit in the first half of the year to: mass production of new products, improved product performance, and further optimization of operating costs. In addition, the continuous growth of performance stems from the company's emphasis on research and development, and has always maintained high-intensity research and development investment.Its products include CPUs (general purpose processors) and DCUs (coprocessors).Among them, Haiguang CPU has a very wide range of versatility and industrial ecology among domestic processors, and has been widely used in telecommunications, finance, Internet, education, transportation, industrial design, graphics and image processing and other fields. At present, Haiguang No. 3 is the main sales product, and Haiguang No. 4 and Haiguang No. 5 are in the research and development stage ;DCU series products are widely used in big data processing, artificial intelligence, commercial computing and other fields. Among this series of products, Shensuan No. 1 is the company's main GPGPU product for sale. Shensuan No. 2 will be released soon, and the research and development of Shensuan No. 3 is progressing smoothly .It is understood that Shensu No. 1 DCU is equivalent to the level of Nvidia P100 GPU, that is, the level of Nvidia from 2014 to 2015, and can run general-purpose large models. Shensu No. 2 DCU will start research and development in 2020 and answer investor questions at the end of June. At that time, Haiguang Information said: Currently, Shensuan No. 2 is progressing smoothly, and its product performance is in a leading position in China.Haiguang Information said that under the background of AIGC’s continuous and rapid development, Haiguang DCU can completely support large-scale model training and realize the comprehensive application of large-scale models represented by LLaMa, GPT, Bloom, ChatGLM, Enlightenment, and Zidong Taichu. Wenxin Yiyan and other large models are fully adapted, reaching the domestic leading level .

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huemens

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Nvidia warns more semiconductor curbs will end U.S. chipmakers’ ability to compete in China​

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Nvidia issued a fresh warning that further U.S. export curbs on its chips to China would risk a “permanent loss” for American semiconductor firms to lead in one of the world’s largest markets.
China accounts for 20% to 25% of Nvidia’s revenue in its data center business, its biggest unit — whose sales grew 171% year on year to a record $10.32 billion in revenue in the June quarter.
 

KYli

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[Liu Qingfeng: Huawei's GPU can already benchmark against Nvidia A100, Ren Zhengfei attaches great importance to it, and sent three co-chairmen to do special work] The 2023 Yabuli Forum Summer Summit will be held in Shenzhen from August 24th to 27th. Liu Qingfeng, founder and chairman of HKUST Xunfei attended and delivered a speech. Talking about computing power, Liu Qingfeng said that China has no problem with artificial intelligence algorithms, but computing power seems to be held down by Nvidia. "I am very happy to tell you that Huawei's GPU capability is already the same as that of Nvidia A100. Ren Zhengfei attaches great importance to it. The three co-chairmen went to Xunfei to do special work, and now they have achieved the standard Nvidia A100." (Sina Finance)
 

tphuang

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[Liu Qingfeng: Huawei's GPU can already benchmark against Nvidia A100, Ren Zhengfei attaches great importance to it, and sent three co-chairmen to do special work] The 2023 Yabuli Forum Summer Summit will be held in Shenzhen from August 24th to 27th. Liu Qingfeng, founder and chairman of HKUST Xunfei attended and delivered a speech. Talking about computing power, Liu Qingfeng said that China has no problem with artificial intelligence algorithms, but computing power seems to be held down by Nvidia. "I am very happy to tell you that Huawei's GPU capability is already the same as that of Nvidia A100. Ren Zhengfei attaches great importance to it. The three co-chairmen went to Xunfei to do special work, and now they have achieved the standard Nvidia A100." (Sina Finance)
That's what Huawei PowerPoint presentations have said for a while now. atlas 900 clusters are really good. The big issue is just getting domestic companies to use something from a domestic rival
 

Phead128

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That's what Huawei PowerPoint presentations have said for a while now. atlas 900 clusters are really good. The big issue is just getting domestic companies to use something from a domestic rival
What if Huawei divest it's AI GPU unit as a new (separate) entity? Domestic companies would be more willing to adopt Atlas 900s if it was not associated with a domestic rival. However, any synergy loss with disassociation?
 
That's what Huawei PowerPoint presentations have said for a while now. atlas 900 clusters are really good. The big issue is just getting domestic companies to use something from a domestic rival
Domestic companies should stop being so paranoid and short sighted, there are absolutely no reasons not to adopt Huawei AI services unless the company's core business is related to needing to maintain their own AI computing clusters. If needed government should step in.
 

Topazchen

Junior Member
Registered Member
Domestic companies should stop being so paranoid and short sighted, there are absolutely no reasons not to adopt Huawei AI services unless the company's core business is related to needing to maintain their own AI computing clusters. If needed government should step in.
It looks like they perceive Huawei as a bigger threat than the US government. Fantastic wisdom
 

olalavn

Senior Member
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Domestic companies should stop being so paranoid and short sighted, there are absolutely no reasons not to adopt Huawei AI services unless the company's core business is related to needing to maintain their own AI computing clusters. If needed government should step in.
compete= don't use the cores of competing companies...
Big companies in China are not united on common ideology...

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