Consumers interested in building or upgrading gaming computers should prepare financially, as graphics cards from NVIDIA and AMD may become more expensive in the coming weeks. This price increase is directly linked to the rising cost of video memory modules.
Sources, including Canaltech in collaboration with Teclab, indicate that popular models, such as the GeForce RTX 5060, may see price adjustments of up to $80, which represents about 20% above the current price.
Ronaldo Buassali, founder of Teclab, reported that graphics card manufacturers are already purchasing memory modules at the new values. Furthermore, industry partners informed that several orders for new GPUs have been temporarily suspended to ensure that the next batch of products is launched with the revised prices.
In practice, this suggests that the currently available stock may be the last to be sold at the current prices before the arrival of new shipments.
The impact of the cost increase is not limited to the new NVIDIA generation. Several models will be affected, including the GeForce RTX 5060, the 12GB GeForce RTX 3060, other RTX 40 series models still on the market, and AMD Radeon RX cards from the 9000 series.
This situation stems from the increase in the prices of both GDDR6 and GDDR7 memories. While AMD uses GDDR6 modules in its current GPU generation, NVIDIA will also be impacted by the rising costs of GDDR6X and GDDR7 memories found in different configurations of the GeForce RTX line.
In addition to the information provided by Teclab, the website BenchLife reported that memory manufacturers have raised the prices of GDDR6 and GDDR7 modules. According to this publication, NVIDIA itself had already notified its partners about the adjustment in component costs, signaling that the increase will be passed on to the consumer in future graphics card releases.
However, as of now, neither NVIDIA nor AMD has issued official statements regarding any changes in the prices of their respective products.
The competition between the gaming industry and the artificial intelligence market for memory chips may keep costs high for consumers for several years. A report released by the Tech Insider portal points out that the worldwide shortage of DRAM and NAND memories, exacerbated by the expansion of AI data centers, has already resulted in price increases for consoles, gaming PCs, and other electronic devices.
According to the document, various manufacturers adjusted the prices of their products during 2026. Among the items mentioned are the PlayStation 5, Xbox Series X, Nintendo Switch 2, Steam Machine, and portable gaming PCs, such as the MSI Claw and ROG Ally. All these devices have been affected by the rising cost of memory and storage, components that have become substantially more expensive due to the high demand from the artificial intelligence sector.
The analysis reveals that the problem began when producers started prioritizing the manufacturing of HBM memories, intended to serve companies responsible for large AI models and data centers. With less capacity allocated to the production of conventional DDR5 and NAND memories, used in smartphones, laptops, and consoles, the prices of these components rose rapidly. The report indicates that the cost of DRAM memory jumped by about 170% throughout 2025, while NAND memory contracts registered increases of over 60% during certain periods.
Expectations for a price reduction are not encouraging. According to the report, new factories announced by manufacturers such as Micron will only begin to significantly increase supply starting in 2027 or 2028. Furthermore, estimates from the consultancy Kearney suggest that a full market recovery can only be achieved by 2030. In the meantime, the trend is that manufacturers will continue to face high costs to produce new electronic equipment, including consoles and gaming PCs.
The document highlights that the gaming segment is particularly sensitive to this situation, given that consoles and dedicated gaming computers consume large volumes of high-speed memory and storage. If the demand for artificial intelligence infrastructure maintains its current growth, the impact could extend to future generations of hardware, and new price adjustments cannot be ruled out, according to the assessment.
