Chinese AI Chipmakers Raise Prices Up to 50% Amid Severe High-Bandwidth Memory ShortagesLeading domestic artificial intelligence chipmakers in China have increased prices for current and next-generation processing silicon by up to 50%, according to industry sources. Driven by acute shortages of High-Bandwidth Memory (HBM) and strict export controls, the price hikes place financial strain on China’s $50 billion domestic AI market as tech firms attempt to replace NVIDIA hardware with local alternatives.
Price Hikes Across Domestic Chip Manufacturers
Rising component costs have forced major Chinese semiconductor vendors to revise enterprise hardware pricing upwards across the board:
Huawei Technologies: Raised quotes for its Ascend 950DT accelerator card to over 250,000 yuan ($37,255 USD), marking a 20% to 50% price increase compared to quotes issued two months prior.
Cambricon Technologies: Adjusted pre-orders for its upcoming 690 series AI processor upward by 20% to 30%.
Specialized Fabless Vendors: Smaller domestic players, including MetaX Integrated and Shanghai Iluvatar CoreX, implemented comparable price adjustments across their enterprise GPU portfolios.
The HBM Supply Bottleneck and Global Sanctions Pressure
The primary cost driver behind the price surge stems from restricted access to high-density memory modules critical for training Large Language Models (LLMs):
HBM Market Concentration: High-Bandwidth Memory supply is dominated globally by South Korea's SK Hynix and Samsung Electronics, alongside U.S.-based Micron Technology.
Impact of Trade Restrictions: Tightened export controls enforced since December 2024 severely restricted direct Chinese access to advanced HBM tiers, forcing domestic chipmakers to procure components through high-cost secondary channels or grey market distributors.
Production Cost Strain: Memory components constitute a major portion of total AI accelerator manufacturing budgets, leaving fabless firms unable to absorb rising procurement costs without passing them on to enterprise customers.
Reallocating Hardware Supply to Enterprise Giants
In response to supply chain bottlenecks, domestic chipmakers are prioritizing shipments for top-tier cloud providers:
Iluvatar CoreX Reallocation: Doubled its GPU allocation to TikTok parent company ByteDance to 100,000 units this year, diverting internal hardware reserves away from smaller clients to support ByteDance's expanding compute infrastructure.
ByteDance Vendor Hierarchy: Huawei remains the primary domestic hardware supplier for ByteDance, followed by Cambricon and Iluvatar CoreX.
High Bandwidth Memory (HBM) is critical for modern AI workloads, as it involves vertically stacking DRAM chips and connecting them directly to the main processor via silicon interconnects. This architecture provides the massive memory bandwidth needed to prevent processing bottlenecks during inference and the parallel training of Large Language Models (LLMs). Without direct access to cutting-edge HBM, GPUs in China would be forced to operate at reduced performance levels or rely on costly multi-chip packaging solutions.
Strict export controls often drive technology procurement toward complex black-market channels. Sourcing memory modules through overseas intermediaries adds layers of distribution markups, shipping levies, and agency fees. These increased operational costs directly impact the final price of the cards for end-users, such as cloud service providers, internet companies, and state-backed research institutions.
Amidst AI chip shortages, semiconductor companies prioritize large cloud service providers over smaller startups. Allocating chip supplies to major corporate clients—such as ByteDance—ensures these tech giants possess sufficient computing power to keep pace with global AI developments, even as smaller domestic firms face equipment delivery delays and higher costs.
Chinese AI Chipmakers Raise Prices Up to 50% Amid Severe High-Bandwidth Memory ShortagesLeading domestic artificial intelligence chipmakers in China have increased prices for current and next-generation processing silicon by up to 50%, according to industry sources. Driven by acute shortages of High-Bandwidth Memory (HBM) and strict export controls, the price hikes place financial strain on China’s $50 billion domestic AI market as tech firms attempt to replace NVIDIA hardware with local alternatives.
Price Hikes Across Domestic Chip Manufacturers
Rising component costs have forced major Chinese semiconductor vendors to revise enterprise hardware pricing upwards across the board:
Huawei Technologies: Raised quotes for its Ascend 950DT accelerator card to over 250,000 yuan ($37,255 USD), marking a 20% to 50% price increase compared to quotes issued two months prior.
Cambricon Technologies: Adjusted pre-orders for its upcoming 690 series AI processor upward by 20% to 30%.
Specialized Fabless Vendors: Smaller domestic players, including MetaX Integrated and Shanghai Iluvatar CoreX, implemented comparable price adjustments across their enterprise GPU portfolios.
The HBM Supply Bottleneck and Global Sanctions Pressure
The primary cost driver behind the price surge stems from restricted access to high-density memory modules critical for training Large Language Models (LLMs):
HBM Market Concentration: High-Bandwidth Memory supply is dominated globally by South Korea's SK Hynix and Samsung Electronics, alongside U.S.-based Micron Technology.
Impact of Trade Restrictions: Tightened export controls enforced since December 2024 severely restricted direct Chinese access to advanced HBM tiers, forcing domestic chipmakers to procure components through high-cost secondary channels or grey market distributors.
Production Cost Strain: Memory components constitute a major portion of total AI accelerator manufacturing budgets, leaving fabless firms unable to absorb rising procurement costs without passing them on to enterprise customers.
Reallocating Hardware Supply to Enterprise Giants
In response to supply chain bottlenecks, domestic chipmakers are prioritizing shipments for top-tier cloud providers:
Iluvatar CoreX Reallocation: Doubled its GPU allocation to TikTok parent company ByteDance to 100,000 units this year, diverting internal hardware reserves away from smaller clients to support ByteDance's expanding compute infrastructure.
ByteDance Vendor Hierarchy: Huawei remains the primary domestic hardware supplier for ByteDance, followed by Cambricon and Iluvatar CoreX.
High Bandwidth Memory (HBM) is critical for modern AI workloads, as it involves vertically stacking DRAM chips and connecting them directly to the main processor via silicon interconnects. This architecture provides the massive memory bandwidth needed to prevent processing bottlenecks during inference and the parallel training of Large Language Models (LLMs). Without direct access to cutting-edge HBM, GPUs in China would be forced to operate at reduced performance levels or rely on costly multi-chip packaging solutions.
Strict export controls often drive technology procurement toward complex black-market channels. Sourcing memory modules through overseas intermediaries adds layers of distribution markups, shipping levies, and agency fees. These increased operational costs directly impact the final price of the cards for end-users, such as cloud service providers, internet companies, and state-backed research institutions.
Amidst AI chip shortages, semiconductor companies prioritize large cloud service providers over smaller startups. Allocating chip supplies to major corporate clients—such as ByteDance—ensures these tech giants possess sufficient computing power to keep pace with global AI developments, even as smaller domestic firms face equipment delivery delays and higher costs.
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