Nvidia Adds "GPU App Prioritisation" Feature for Some RTX GPU Owners

The update introduces a new setting labeled “GPU App Prioritisation,” which allows the driver to allocate video‑card resources between concurrently running programs. The setting appears alongside existing performance sliders and can be toggled per application, offering a new lever for balancing frame rates and compute workloads. Coverage from VideoCardz.com, Wccftech, GameGPU, TweakTown and Digital Foundry notes that the addition was quiet and not advertised broadly. Wccftech reports the controls are “not available to everyone,” while TweakTown describes the exposure as accidental, noting that the feature had previously been announced only for Nvidia’s RTX Spark line. GameGPU confirms the update’s version number and its purpose of distributing resources.

Digital Foundry’s report emphasizes that the feature is currently limited to certain RTX models, though the headline does not list the exact GPUs. The rollout arrives at a time when developers and gamers have increasingly sought finer‑grained control over GPU scheduling, especially on high‑performance RTX silicon that can be shared across demanding titles. Nvidia’s earlier RTX Spark announcement hinted at a priority system, but the mainstream GeForce App had not offered a comparable tool. By embedding the option directly in the driver UI, Nvidia gives users a way to influence which application receives more of the card’s compute and rendering capacity. Such granular control could help prevent one game from starving another of GPU time, a scenario that has been reported in multi‑tasking environments where streaming or recording runs alongside gaming.

Future steps remain uncertain. Coverage does not yet specify whether Nvidia plans to extend the prioritisation controls to all RTX owners or to other product families. Observers will be watching for follow‑up driver releases, official statements from Nvidia, or community guides that explain optimal settings. User feedback and any subsequent patches will indicate how widely the feature will be adopted across the GeForce ecosystem. If Nvidia confirms broader availability, the feature could become a standard part of future GeForce driver packages, potentially influencing how software developers design GPU‑intensive workloads.