The rapidly expanding artificial intelligence sector is creating ripple effects throughout the tech industry, most notably in the rising cost of essential hardware components. Demand for high-performance GPUs,critical for AI progress and training,is particularly straining supply chains and driving up prices. New reports suggest NVIDIA’s next-generation RTX 5090 graphics card could see its price nearly triple to $5,000, a potential barrier for both gamers and professionals relying on the technology, and signaling broader inflation across the high-end PC hardware market. Industry analysts predict these increases will disproportionately impact smaller AI startups and independent researchers.
The surge in demand for artificial intelligence applications is driving up the cost of key components, including RAM, and now impacting graphics cards. Recent reports indicate that NVIDIA’s upcoming RTX 5090 could reach a price point of $5,000.
The technology sector is currently navigating a period of rising component prices, particularly in the memory market. Manufacturers like Micron, Samsung, and SK Hynix supply the chips essential for most modern hardware, but RAM has been the most significantly affected so far. This price increase is extending to other computer components that rely on memory.
Price adjustments in the graphics card market were anticipated, but some models, especially those utilized for both gaming and AI workloads, may reach unprecedented levels. The RTX 5090 is among those expected to see a substantial price hike.
The RTX 5090 could see its price nearly triple to $5,000
NVIDIA’s flagship graphics card is already a significant investment, with current prices ranging from $2,000 to $2,500 depending on the region. However, new reports suggest the cost could climb dramatically due to ongoing memory shortages.
A new report published by the Korean news outlet Newsis, citing anonymous industry insiders, indicates the RTX 5090 could jump to $5,000. Sources attribute the increase to rising production costs.
One source stated that the average proportion of memory costs in the manufacturing of all GPUs has recently exceeded 80 percent.
Ridiculous number. Report claims RTX 5090 price will be increased to 5,000 USD in next year
https://t.co/9OrF3h6H4HDe newsis.com
December 31, 2025 • 06:03
Memory module prices have nearly tripled in recent months, and further increases of up to 40 percent are expected in the second quarter of the year. This surge in memory costs is a key factor driving up the price of GPUs.
While a price increase of this magnitude seems substantial, NVIDIA currently maintains a significant inventory of graphics cards. However, the growing demand for GPUs in AI applications is transforming them into a crucial component for companies building specialized AI systems. The increasing capabilities of NVIDIA’s GPUs are making them a preferred solution for businesses developing AI infrastructure.
