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Alibaba Uses In-House AI Chip Rivaling Nvidia's H20, Baidu Also Adopts Own Chip as Part of Alternative: Report

Summarized by NextFin AI
  • Alibaba and Baidu are developing their own AI chips to reduce reliance on Nvidia amid ongoing trade tensions between China and the U.S.
  • Alibaba's Zhenwu chip is being used for training smaller AI models and is positioned to compete with Nvidia's H20 chip.
  • Baidu's Kunlun P800 chip is designed for large language models and is being tested for training and inference tasks.
  • Nvidia acknowledges competition from Chinese firms and emphasizes its commitment to supporting developers with its technology.

AsianFin -- Two Chinese tech titans on Thursday were reported to adopt their in-house artificial intelligence (AI) chips to help ease their demand for Nvidia Corporation’s products amid trade tensions between China and U.S.

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AI Generated Image

 Alibaba Group and Baidu Corporation have been using their self-designed chips to train their AI models, partly replacing Nvidia chips, The Information cited people with knowledge of the matter, noting that neither of their chips are comparable with Nvidia’s most advanced products. 

Alibaba has reportedly started using its own chips, the Zhenwu perse processing unit, for training its smaller models since early this year, and the chip is good enough as a rival of Nvidia’s H20, the most powerful AI chip Nvidia is created to comply with the Biden-era export controls and allowed to sell in China.

Alibaba is also working on a more advanced version of Zhenwu, which is set to slightly outperform Nvidia’s A100, the data center graphics processing unit (GPU) for AI rolled out five year ago, Per the report. That was seen as a sign of how far behind the company’s chips are.

Baidu was said to be experiment with training new versions of its Ernie AI model using its own Kunlun P800 chip. The sources didn’t reveal how the chip performs comparing with Nvidia’s H20. it said the Kunlun chip, designed specially for large language models (LLMs), can handle both inference and training tasks. Baidu was said to begin using the chip in for the post-training of older models after it open-sourced these models in June.

A spokesperson for Nivida acknolwedged compeition from Chinese companies and vowed support for develpers with its products. “The competition has undeniably arrived. Customers will choose the best technology stack for running the world’s most popular commercial applications and open-source models. We’ll continue to work to earn the trust and support of mainstream developers everywhere,” said the spokesperson.

The report on Thursday  is one of the latest sign that Chinese companies are working on alternatives for Nividia’s H20. News about Alibaba’s new AI chip went viral nearly two weeks ago.

Alibaba, a long-time big customer of U.S. AI chip leader Nvidia Corporation, has developed a new AI chip "that is more versatile than its older chips", and the company and other chip designers could begin "filling the void left after Nvidia ran into regulatory barriers to selling its products in China," the Wall Street Journal reported on August 29.

Unlike previous cloud-computing chips mainly designed for specific applications, Alibaba’s new chip, now in testing, appeared as a general-purpose one since it was reported to serve a broader range of AI interference task. The chip is designed for inference, instead of training, as China’s biggest weakness is training AI models, the report noted. 

 Alibaba’s new chip was also said to be designed to work with the Nvidia software ecosystem so it will be compatible with the Nvidia platform to ease engineers and developers’ adoption. The report suggested the chip is domestically built. That was an essential step for China toward more localized production, though local players relying on Chinese chip factories like Alibaba are now facing the challenge to get enough supply due to manufacturers’ difficulties in increasing capacity. 

Alibaba didn’t respond to the report, while CNBC on August 29 echoed, citing anonymous sources that Alibaba is developing an in-house chip for AI applications. The semiconductor is said to be specially designed for inferencing, which is the actual running of AI applications, rather than training which is when huge amounts of data is used to develop a large model, but Alibaba will continue to use chips from other vendors including Nvidia. 

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Insights

What are the key features of Alibaba's Zhenwu chip?

How does Baidu's Kunlun chip compare to Nvidia's H20?

What factors led Alibaba and Baidu to develop their own AI chips?

What is the significance of trade tensions between China and the U.S. for the chip market?

What are the latest developments regarding Alibaba's AI chip as of September 2023?

How do Alibaba and Baidu's AI chips address the demand for Nvidia products?

What challenges do Chinese companies face in competing with Nvidia in the AI chip market?

How does the performance of Alibaba's Zhenwu chip compare to Nvidia's A100?

What role does the Chinese government play in supporting domestic chip development?

What lessons can be learned from historical cases of tech companies developing in-house chips?

How does the design of Alibaba's chip for inference differ from traditional training chips?

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In what ways can the competition between Chinese companies and Nvidia shape the future of AI technology?

What are the implications of Nvidia's acknowledgment of competition from Chinese firms?

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What strategies are Chinese companies employing to overcome supply chain challenges in chip manufacturing?

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