'Half the GPU overhead' with 'comparable visual fidelity': Nvidia dramatically improves DLSS 5, which is great — but gamers want it on more GPUs

Frame generation also gets a considerable boost

by · TechRadar

News By Darren Allan Published 14 October 2026

(Image credit: Shutterstock)

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  • Nvidia has considerably improved the AI model for DLSS 5
  • This means the tech now offers up to 40% faster frame rates
  • Team Green has also improved frame generation, and is bringing DLSS 5 to two new games: Hogwarts Legacy and Where Winds Meet

If you were wondering how soon Nvidia might start ramping up the performance of DLSS 5, well the answer is that it just happened.

Team Green's neural-rendering tech, which officially debuted in NBA 2K27, has only been out for just over a month, but Nvidia is claiming that it has doubled the performance of the AI that drives DLSS 5.

When it was first previewed in March 2026, DLSS 5 needed a pair of RTX 5090 GPUs to run, with the company improving the performance of the AI model by 5x for the release of the tech in NBA 2K27. With this latest update, it's now 10x more performant than that baseline.

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Nvidia also made it clear that it has reduced the video memory (VRAM) usage of the tech considerably, noting that: "The DLSS 5 October update shrinks the [AI model] footprint by 24% to roughly 118 million parameters while reducing 4K VRAM usage by 20%. The result is half the GPU overhead of the September [launch] version while maintaining comparable visual fidelity."

Based on Nvidia's testing in NBA 2K27, that translates to boosts in frame rates in the order of 30% to 40%. Check out the video clip below to see the gains in the basketball game.

This new DLSS 5 model launches on October 16, with availability for RTX 5000 GPUs, RTX Spark laptops and the GeForce Now streaming service.

Nvidia also announced that DLSS 5 is being introduced for Hogwarts Legacy on November 5, and also Where Winds Meet in the "near future", although we aren't given a specific launch date in the latter case.

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