China's NVIDIA Chip Replacement Plan Hits HBM Memory Snag 2026

Daniel Harrolds
China's NVIDIA Chip Replacement Plan Hits HBM Memory Snag
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China's ambition to replace NVIDIA chips with domestic alternatives has hit a major roadblock: HBM memory. The high-bandwidth memory that sits alongside AI processors is exposing the limits of China's self-sufficiency drive.

For years, Beijing has pushed for the substitution of NVIDIA chips with homegrown accelerators. Companies like Huawei, Cambricon, MetaX, and Iluvatar CoreX have developed products to fill the gap left by U.S. restrictions. But reducing dependence isn't just about the processor—it's about the entire component ecosystem.


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Why HBM Memory Is Critical for AI Chips

High Bandwidth Memory (HBM) is a type of DRAM made of vertically stacked chips connected to move massive amounts of data at high speeds. In AI accelerators, it sits very close to the processor and is essential for feeding data-hungry workloads.

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Without HBM, even the most advanced AI chip can't perform at its peak. And that's the problem: China's domestic chipmakers still rely heavily on foreign HBM suppliers, primarily from South Korea and the United States.

Prices Are Already Climbing

The supply chain strain is showing up in prices. According to Reuters, Huawei has raised the indicated price of its Ascend 950DT to over 250,000 yuan (about $37,000). That's a 20% to 50% increase compared to prices quoted to customers just two months earlier, depending on contract terms.

Cambricon has also reportedly hiked prices for its upcoming 690 generation by 20% to 30%, even though it hasn't officially launched. MetaX and Iluvatar CoreX have applied similar increases. These hikes reflect the rising cost and scarcity of HBM memory.

The HBM Bottleneck: A Supply Chain Reality Check

China's domestic AI chip industry has made impressive strides in designing processors. But HBM is a different story. The technology requires advanced packaging capabilities and specialized manufacturing that few companies possess.

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Global HBM leaders like SK Hynix, Samsung, and Micron dominate the market. Chinese firms like CXMT are trying to catch up, but they lag in both yield and capacity. Until domestic HBM production matures, Chinese AI chipmakers will remain vulnerable to supply disruptions and price volatility.

  • HBM is essential for AI accelerator performance, and China still depends on foreign suppliers.
  • Prices are rising: Huawei's Ascend 950DT now costs over $37,000, up 20-50% in two months.
  • Cambricon, MetaX, and Iluvatar CoreX have also raised prices by 20-30%.
  • Domestic HBM alternatives like CXMT are still years behind in scale and yield.
  • The supply chain remains global, limiting China's ability to fully decouple from foreign technology.

What This Means for China's AI Ambitions

China's AI chip strategy is not just about designing faster processors. It's about building a complete domestic supply chain. HBM is a glaring weak point.

The price increases could slow adoption of domestic AI chips among Chinese cloud providers and AI startups. Higher costs may make NVIDIA's restricted chips—still available through gray markets—more attractive, undermining the substitution effort. The longer history behind the story is traced in China's NVIDIA Chip Replacement Plan Hits HBM Memory Snag.

Moreover, the HBM bottleneck highlights how interconnected the global semiconductor industry remains. Even as China invests billions in self-sufficiency, some technologies are too complex and capital-intensive to replicate quickly. The background to this story is set out in Chinese AI Chips Face 50% Price Surge as HBM Memory Shortage Bites. A related thread runs through AI Sell-Off Deepens as Chip Stocks Dive on China Concerns. Earlier coverage in DIY Kitchen Cabinet Door Replacement: How to Renew Instead of Replace shows how the argument developed.

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What to Watch Next

All eyes are on China's domestic HBM efforts. CXMT and other players are ramping up R&D, but progress will be measured in years, not months. Meanwhile, watch for further price adjustments from Huawei, Cambricon, and others. A closer look at the same subject appears in 4 Modern alternatives to have brick walls easily!. Anyone following the wider picture can start with The best alternatives to have your own 3D Floors. The same theme surfaces in Ai Video: latest articles, which takes a different angle.

Also, keep an eye on U.S. export controls. Any tightening of HBM-related restrictions could exacerbate the situation. For now, China's NVIDIA chip replacement plan faces a critical test: can it solve the HBM memory problem before it derails the entire strategy? Context on how this played out before sits in China's AI Token Rewards: Free Tokens for Coffee and Credit Cards. A companion piece, China Deploys Thousands of Delivery Robots Across Europe, approaches the same subject from another angle.

Company AI Chip Price Increase HBM Dependency
Huawei Ascend 950DT 20-50% High (foreign suppliers)
Cambricon 690 (upcoming) 20-30% High
MetaX Unknown Similar High
Iluvatar CoreX Unknown Similar High

FAQ

What is HBM memory and why does it matter for AI chips?

HBM (High Bandwidth Memory) is a type of DRAM with vertically stacked chips that delivers extremely high data transfer speeds. It's crucial for AI accelerators because it feeds data to the processor quickly, enabling efficient training and inference.

Why are Chinese AI chip prices rising?

Prices are rising because of increased costs and limited supply of HBM memory, which Chinese chipmakers still source from foreign suppliers. Huawei, Cambricon, and others have raised prices by 20-50% in recent months.

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Can China produce its own HBM memory?

China is investing in domestic HBM production through companies like CXMT, but they are still far behind global leaders in terms of yield and capacity. It will take years to catch up.

How does the HBM bottleneck affect China's NVIDIA substitution plan?

It slows down the plan because even domestic AI chips rely on foreign HBM. Rising costs and supply uncertainty make it harder for Chinese companies to compete with NVIDIA's offerings, potentially delaying adoption.

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Daniel Harrolds

Author

Daniel Harrolds

With a career spanning four decades, Daniel is almost a library in the field of precious metals investing and Gold IRAs. His insightful strategies and pragmatic results-oriented approach make him a resource in safeguarding wealth, and financial foresight.


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