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Huawei backs DeepSeek V4 with Ascend AI chips

Huawei Technologies said on April 24 that its Ascend supernode based on Ascend 950 AI chips, will fully support DeepSeek’s V4 version after the Chinese AI startup released a preview of its new model.

DeepSeek said it can compete with closed-source models from OpenAI and Google DeepMind.

The launch includes V4-pro and V4-flash, with the former as its largest model yet, and both versions support a 1 million token context windor at lower cost.

🔗 Source: Reuters

🧠 Food for thought

Implications, context, and why it matters.

DeepSeek V4 needs unusually large computing resources

  • Huawei said its Ascend supernode, built on Ascend 950 AI chips, offers “full support” for DeepSeek V4. That lines up with the model’s size and the hardware it needs 1.
  • DeepSeek V4 reportedly has about 1 trillion parameters and is expected to handle text, images, and video 2.
  • A 1-trillion-parameter model usually needs a huge memory pool. One deployment guide puts that at about 1 terabyte of video random access memory for bfloat16 weights, with lower needs at 8-bit floating point and quantized precisions 3.
  • DeepSeek reportedly spent months rewriting core code and testing it with Huawei plus Cambricon, a Chinese AI chip company, so the model could run on Huawei’s Ascend architecture 1.

Chinese AI companies are leaning harder on local chip suppliers

  • DeepSeek’s reported use of Huawei hardware fits a wider pattern among Chinese AI companies dealing with U.S. chip limits 1.
  • Alibaba Group, ByteDance, and Tencent have reportedly placed bulk orders for Huawei’s Ascend 950PR chips, adding weight to a homegrown option for AI computing in China 1.
  • The shift does not mean Western technology is gone. It does suggest more future models and deployments in China may rely on domestic chips.
  • DeepSeek V4 is expected to run on Huawei Ascend chips, though DeepSeek has not confirmed that report 1.

Recent Huawei developments

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