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Hardware 02 September 2026 2 min read

Nvidia GeForce RTX 5090 prices hit 2.5x MSRP

Standard Nvidia GeForce RTX 5090 cards now cost over $5,090, reaching 2.5x their launch MSRP. The cheapest US model is $5,169, exceeding the price of a complete RTX 5080 gaming system.
Author: Гика PC
Nvidia GeForce RTX 5090 prices hit 2.5x MSRP

Standard Nvidia GeForce RTX 5090 graphics cards have reached prices exceeding $5,090 in the US market, representing a 2.5x increase over the launch MSRP. According to PCPartPicker data cited by Club386, the cheapest available model, the Asus TUF Gaming, now costs $5,169. This price point surpasses the launch cost of the limited-edition MSI RTX 5090 Lightning Z, which was priced at $5,090 for its 1,300-unit run with a custom liquid cooler and built-in display.

The price inflation extends globally. In the UK, the cheapest RTX 5090 models are listed at approximately £3,939, while in the EU they sit around €4,857. These figures significantly exceed their respective launch MSRPs. Notably, the UK price is now higher than the cost of a complete gaming system featuring an RTX 5080, Ryzen 9 9950X3D processor, and 64GB of RAM, based on current hardware pricing.

Availability remains constrained, with only five variants available below the $5,300 threshold. The source notes that the price difference between basic air-cooled models and premium liquid-cooled options has become negligible. For instance, the liquid-cooled Zotac RTX 5090 ArcticStorm costs just £130 more than the cheapest air-cooled model, a difference of only 3%. This pricing structure makes the premium models relatively more appealing despite the overall market inflation.

The article attributes this trend to broader market dynamics, including AI demand for memory production, which has driven up hardware prices and potentially diverted gaming hardware supply. While the source does not provide specific sales volume data for these inflated prices, it suggests that the 32GB memory capacity of the RTX 5090 may contribute to rapid stock depletion due to its utility in AI tasks.

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