Nvidia's upcoming DLSS 5 technology, which utilizes AI-generated imagery, is facing criticism not only for its visual output but also for a significant performance hit. Reports indicate that the new DLSS version could reduce frame rates by 50-60%, a substantial departure from the performance improvements typically offered by Nvidia's Deep Learning Super Sampling technology.

This news comes as the technology has been tested, with initial impressions suggesting that while developers can mitigate some of the visual issues, the performance impact remains. PC Gamer's Andy Edser noted that the technology's frame rate reduction will occur regardless of developer implementation, a concerning prospect for a feature traditionally designed to boost frame rates.

The controversy surrounding DLSS 5 stems from its foundation as a real-time neural rendering model, which raises ethical and ecological concerns similar to those associated with generative AI. Early demonstrations of DLSS 5 have been met with negative reactions, with some critics arguing that the AI-generated images can distort artistic intent, leading to character models that appear unnaturally altered.

While DLSS 5 is not yet officially released, some users have managed to experiment with early builds in games like NBA 2K27. These unofficial tests have produced varied visual results, with some instances looking less problematic than initial Nvidia reveals, while others have been described as particularly jarring, especially in games with an anime aesthetic.

Nvidia's increasing focus on generative AI has also drawn scrutiny from some of its gaming customer base, who feel the company may be shifting its priorities away from traditional gaming. This perception, coupled with criticism of recent graphics card performance and the substantial performance hit expected from DLSS 5, could lead many players to overlook the new version of the technology.

DLSS 5 is slated for release alongside NBA 2K27 on September 3. However, given Nvidia's significant profits from the generative AI sector, it remains uncertain whether this negative feedback will influence the company's future development direction. Players may continue to face high hardware prices and what they perceive as disappointing advancements from Nvidia until the generative AI market potentially stabilizes.