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Cambricon’s Sales Soar 14x as Nvidia Is Shut Out

by Team Lumida
October 20, 2025
in AI
Reading Time: 3 mins read
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Cambricon’s Sales Soar 14x as Nvidia Is Shut Out
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Key Takeaways

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  • Cambricon reported Q3 revenue of ¥1.73B and net profit of ¥567M, a sharp reversal from last year’s loss, as China’s AI push substitutes restricted Nvidia accelerators with domestic silicon.
  • Full-year guidance of ¥5–7B (vs. ¥1.2B in 2024) implies sustained demand from major Chinese AI developers (e.g., Alibaba, DeepSeek) amid policy discouragement of Nvidia H20 uptake.
  • Shares have roughly doubled since July despite volatility, reflecting premium expectations on domestic AI chip winners alongside AI-bubble valuation risk.

What Happened?

Beijing’s industrial policy and U.S. export controls have catalyzed rapid localization of AI compute. Cambricon—positioned as a key domestic accelerator vendor alongside Huawei—posted a 14-fold surge in quarterly sales and swung to profitability as orders ramped from cloud and model developers. Management’s August guidance points to a multi-quarter delivery cycle, with customers standardizing on homegrown hardware/software stacks as H20 and other constrained Nvidia parts remain politically or practically off-limits.

Why it matters?

China’s AI buildout is decoupling from U.S. hardware, creating a durable addressable market for local chipmakers and their upstream ecosystems (compilers, frameworks, interconnect, packaging). For investors, Cambricon’s inflection points to policy-backed demand that improves revenue visibility but raises execution risk around manufacturing yield, software maturity, and ecosystem depth. There is meaningful margin leverage if volumes scale and foundry/packaging bottlenecks ease, though the name remains exposed to valuation resets typical of AI cycles. Competitive pressure from Huawei’s Ascend/Atlas stack and other domestic entrants could weigh on pricing and product mix over time.

What’s next?

Track order cadence into 2026, ASP/mix versus Huawei, and software stack adoption that drives real-world utilization. Key milestones include new tape-outs and node transitions, backend capacity expansion (advanced packaging/interposer) and interconnect roadmap disclosures; government procurement and major cloud wins; and benchmark performance against Nvidia/Huawei on production workloads. Expect share volatility tied to AI sentiment and any changes in U.S./China export controls.

Source
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