The artificial intelligence (AI) gold rush in China appears to be slowing down, with firms now offloading their high-end NVIDIA RTX 4090D GPUs to recoup costs. According to a report from DigiTimes, many Chinese AI companies are experiencing severely low server utilization rates, sometimes as little as 20%, forcing them to sell excess hardware.
These NVIDIA RTX 4090D GPUs were initially modified with extra VRAM to compensate for the lack of cutting-edge AI chips due to U.S. export restrictions. However, with demand for AI computing power declining, companies are cashing in on the still-high market prices before they drop further.
Why Are AI Firms Selling Their GPUs Now?
Several factors are driving this sudden sell-off:
- Low Server Utilization: Many AI firms are struggling to fully use their computing resources, making it unprofitable to hold onto expensive hardware.
- Supply Chain Uncertainty: With ongoing U.S. export controls, companies are trying to liquidate inventory while prices remain inflated.
- Market Correction: The initial AI hype led to overinvestment, and now firms are adjusting to realistic demand levels.
Currently, the NVIDIA RTX 4090D (48GB) is selling for as much as $6,000 in China—far above its original retail price. However, with more GPUs entering the market, prices are expected to gradually decline.
What This Means for Consumers and the AI Market
For gamers and PC builders, this could mean better GPU availability in China, though prices may take time to normalize globally. Meanwhile, the AI industry is facing a reality check, as many firms realize they overestimated how much computing power they actually needed.
This situation mirrors recent reports that over 80% of China’s AI computing resources are sitting idle. As the market adjusts, we may see more companies downsizing their AI infrastructure rather than expanding it.
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Will GPU Prices Return to Normal?
While the sell-off is good news for buyers, experts caution that prices won’t drop overnight. The RTX 4090D remains in high demand, and with supply chain constraints, a full market correction could take months.
For now, AI firms are trying to maximize profits while they can—but this trend suggests the AI hardware bubble might be losing steam.