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China AI

China's Huawei Develops New AI Chip, Seeking To Match Nvidia (wsj.com) 52

Huawei is gearing up to test its newest and most powerful AI processor, which the company hopes could replace some higher-end products of U.S. chip giant Nvidia. From a WSJ report: Huawei has approached some Chinese tech companies about testing the technical feasibility of the new chip, called the Ascend 910D, people familiar with the matter said. The company is slated to receive the first batch of samples of the processor as soon as late May, some of the people said.

The development is still at an early stage, and a series of tests will be needed to assess the chip's performance and get it ready for customers, the people said. Huawei hopes that the latest iteration of its Ascend AI processors will be more powerful than Nvidia's H100, a popular chip used for AI training that was released in 2022, said one of the people. Previous versions are called 910B and 910C.

China's Huawei Develops New AI Chip, Seeking To Match Nvidia

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    • You don't want them, anyway, unless something has very much changed at SMIC between the 910C and the 910D.
      The yields are so poor, that in a performance per dollar metric, NV is about 60% better, which is insane, because NV's pricing is predatory as fuck.
      • Fortunately for them, Trump has banned NVIDIA from competing with them. It's unfair Chinese companies should have to compete with American companies that have better products, so of course the American government is shielding them. Protectionism at its most insane and illogical!

        • Trump has banned NVIDIA from competing with them.

          NV's export restrictions have existed on Democratic and Republican governments.

          In fact, if there's one thing they seem to agree on, it's that they don't want the Chinese having our biggest and baddest number crunching parts.
          Of course, this hasn't stopped them from smuggling them into the country.

          Export controls are not protectionism.
          They hurt NV, not help them.
          NV would much prefer to sell their parts in China.

          • NV would much prefer to sell their parts in China.

            Yes, that was my point. I think you missed the sarcasm in my post.

            NV's export restrictions have existed on Democratic and Republican governments.

            There were restrictions under Biden, which NVIDIA was able to work around with minor hardware changes. Trump's tariffs have completely closed the market to them. They aren't comparable.

            • Yes, that was my point. I think you missed the sarcasm in my post.

              Unclear.

              There were restrictions under Biden, which NVIDIA was able to work around with minor hardware changes. Trump's tariffs have completely closed the market to them. They aren't comparable.

              You're right they're not comparable- because they're literally completely unrelated.
              Export restrictions have nothing in common with import taxes.

              You could argue that retaliatory tariffs from the Chinese (Chinese protectionism) would close the market to them, but our tariffs most definitely are not.

  • It's the first class in every university in China, Corporate Espionage 101.

  • CUDA (Score:5, Interesting)

    by JBMcB ( 73720 ) on Monday April 28, 2025 @02:23PM (#65337595)
    Everyone has an AI accelerator chip. NVidia's secret sauce is CUDA, which has been stable for nearly 20 years. How much manpower is a large organization going to invest in writing new tensor kernels for some new chip that might have it's API blown away every other dev cycle? This is the main reason AMD and Intel are playing catchup in the AI space. Though they both had hardware to compete with nVidia in the GPGPU space, their APIs have been garbage until fairly recently.
    • Can AI write the new tensor kernels using less time and energy than it takes to support a human dev team?

    • Saying that CUDA is the secret sauce is missing the real problem while aiming in the right direction.
      The reason the MI300X failed to meet expectations isn't because it doesn't use CUDA. It's because the software it does use fucking sucks.

      Even if AMD had made a perfectly compatible clean-room reverse engineered CUDA stack for their card, it would probably still suck.
    • How much manpower is a large organization going to invest in writing new tensor kernels for some new chip that might have it's API blown away every other dev cycle?

      A Chinese organization, in the current geopolitical climate?
      Whatever it takes.

      What other option do they have?

    • by allo ( 1728082 )

      Double the VRAM for a similar price and the code is written faster than Huawei can produce the chips. Nobody likes Nvidia dictating the prices. And don't underestimate the huge open source AI community.

    • by Cyberax ( 705495 )

      Everyone has an AI accelerator chip. NVidia's secret sauce is CUDA, which has been stable for nearly 20 years.

      To oversimplify a bit: you need _one_ person to write matmul for your chip, and you're done. The entire source code for something like DeepSeek starting from raw GPU instructions can probably fit well within 50kb of source code.

      It's not a conjecture. Here's one attempt to do that with AMD GPUs, it really does everything starting from command submission: https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fgithub.com%2Ftinygrad%2Fti... [github.com]

    • by AmiMoJo ( 196126 )

      If it's Huawei, and if it is backed by the Chinese government's strategic goals, I'd say probably a lot of companies are going to port their code to that API.

    • How much manpower is a large organization going to invest in writing new tensor kernels for some new chip that might have it's API blown away every other dev cycle?

      Funny, to me the above describes CUDA quite accurately.
      Speaking as someone who has to re-engineer CUDA based AI scripts for every Nvidia card generation just because they cut the support for older CUDA. And there are some that aren't just worth the effort and gray hairs required to make them work...so that Nvidia will just trash them in a year or two in its newest CUDA.

      I would love it if what you wrote about CUDA were true. But in the real world, CUDA is not downwards compatible. When a new CUDA version arr

  • This is why we pay the Federal Government to save us from the Free Market. At least NVDA will have some competition after Intel bailed...
  • nVidia took the quick money, ballooning their stock price and sales volume by shipping their products off to china and... womp womp... now china reverse engineered enough of it to develop their own. Nice job!

    Why didn't the government stop them from doing this! Cried the libertarian shitstains on this website.

    • Why didn't the government stop them from doing this! Cried the libertarian shitstains on this website.

      I am solidly anti-libertarian (I used to think I was one when I was young, but then I grew up and learned to care about other people) but I also have worked for a chip design firm and know that China has been copying others' designs, re-fabbing them, and selling them for the whole time they could conceivably have been doing that. But on the third hand, how would the government have stopped China from copying our technology? Just not having the chips fabbed in Taiwan wouldn't have done it.

      • but I also have worked for a chip design firm and know that China has been copying others' designs, re-fabbing them, and selling them for the whole time they could conceivably have been doing that.

        For the stuff that was fabbed there- no doubt. That does however largely preclude just about all advanced processing elements.

        But on the third hand

        Gripping hand. [catb.org]

        Just not having the chips fabbed in Taiwan wouldn't have done it.

        Are you asserting that the Chinese are leaking designs from TSMC? I mean it certainly seems plausible- but all evidence is to the contrary.

    • Literally every single stupid fucking thing you said is wrong.
      Good job. Shouldn't you be on 4chan, or is it still down?
  • ...from acquiring tech is futile and ultimately self-defeating
    There are lots of smart engineers and scientists in China who are really good at overcoming obstacles

    • Exactly. Chinese companies were happily building low density semiconductors for home appliances etc while slowly climbing the tech ladder as the next level of tech matured and dropped in price. But then the US imposed the first semiconductor sanctions. The Chinese government took notice, saw where things were headed and within six months had a long term target, a comprehensive strategy and 15 years of guaranteed funding for achieving the target.

      Same thing happened in the 1950s when the Soviet Union sus

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