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Chronicles

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Sources: Huawei plans to start mass-producing its most advanced AI chip, the Ascend 910C, in Q1 2025, even as it struggles to make enough chips due to US curbs

China's Huawei plans to start mass-producing its most advanced artificial intelligence chip in the first quarter of 2025 …

Reuters Fanny Potkin

Context & Ripple Effects

The plan follows early testing of the Ascend 910C by Chinese internet companies, suggesting Huawei was moving from customer validation toward volume supply. The central constraint is not chip ambition but the ability to manufacture sufficient units under U.S. restrictions.

Subsequent coverage described planned 910C shipments to Chinese customers and later higher production targets, making this an early marker of Huawei’s effort to turn a domestically oriented AI accelerator into a sustained product line.

First-order effects

  • Huawei gains a defined path from testing to commercial-scale supply of its flagship AI accelerator, while Chinese buyers gain a potential domestic option for AI compute.
  • The production shortfall remains the immediate limiter: Huawei’s ability to fulfill demand, rather than the chip’s introduction alone, determines its near-term competitive impact.

Second-order effects

  • Limited supply makes allocation and deployment planning more important for Chinese customers, reducing the likelihood that the 910C can immediately replace all constrained imported AI hardware.
  • Huawei and its manufacturing partners face pressure to improve yield and expand available production capacity; later plans to increase 910C output show that scaling, not merely launching, became the operative challenge.

Third-order effects

  • If capacity improves, export controls may accelerate a more distinct China-centered AI hardware supply chain, with local accelerators and manufacturing capability becoming strategically linked.
  • The outcome remains contingent on manufacturing throughput: persistent supply constraints would preserve a gap between domestic chip design progress and deployable AI infrastructure.

The trend: This is one data point in the industrialization of China’s domestic AI hardware stack, where supply capacity is becoming as consequential as accelerator design.