What % Use DLSS ? NVIDIA RTX GPU Owners #gaming #nvidia #rtx5090 #5090 #dlss4 #dlss @3DGAMEMAN
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Source: https://www.techspot.com/news/106388-nvidia-over-80-geforce-rtx-gpu-owners-use.html
This passage discusses the increasing prevalence and controversy surrounding upscaling technologies like Nvidia's DLSS and AMD's FSR in PC gaming. Here's a breakdown of the key points:
Upscaling as a "crutch": The core issue is the debate about whether upscaling is a legitimate way to improve performance or a workaround for poorly optimized games. Some gamers feel it shouldn't be necessary if games were properly optimized in the first place.
Nvidia's data and defense: Nvidia claims that over 80% of RTX users utilize DLSS, suggesting widespread acceptance of upscaling. This data point is used to justify their heavy investment in AI-driven rendering. However, the data's collection method isn't specified.
DLSS and Frame Generation: The text distinguishes between upscaling (reconstructing a lower-resolution image to a higher one) and frame generation (creating entirely new frames using AI). While both are part of the DLSS suite, they are distinct processes. The passage notes that while DLSS adoption is high, it's unclear how many users specifically use frame generation.
Benefits of Upscaling: Upscaling technologies improve performance (frame rates) with only minor visual compromises. Newer versions like DLSS 4 aim to further minimize these visual flaws using generative AI.
The Controversy: Despite the benefits, the inclusion of upscaling as a system requirement in some games has intensified the debate. This implies that developers are relying on upscaling to achieve playable frame rates, rather than optimizing their games.
Future of Neural Rendering: Nvidia envisions a future where AI is integrated directly into the rendering pipeline, enabling more detailed graphics with less performance impact. This goes beyond simply upscaling the final image.
Industry Trend: AMD and Intel are also developing their own upscaling and frame generation technologies (FSR and XeSS), indicating that AI-assisted rendering is becoming an industry standard. This shift may require new benchmarking methods.
The Core Argument: As traditional performance improvements from hardware become less significant, technologies like neural rendering and frame generation are seen as essential for achieving higher resolutions and visual fidelity, especially with demanding features like ray tracing.
In essence, the passage highlights the shift towards AI-powered graphics rendering, the debate surrounding its necessity, and its potential to reshape the future of PC gaming.