NVIDIA answered questions about DLSS 4.5, covering compatibility and functionality across different GeForce RTX models. Key points include details on Dynamic Multi Frame Generation and frame rate settings.
No Dynamic Multi FrameGen on RTX 40-series.
Users control 240 FPS target settings.
Dynamic FrameGen works independently of Super Resolution.
6x Frame Generation doesn't require 2nd Gen model.
Dynamic FrameGen adjusts frame generation only.
NVIDIA’s recent discussion shed light on its DLSS 4.5 features, clarifying how these tools function across its graphics card lineup. This was helpful for gamers wondering what to expect from their current or future hardware.
Dynamic Multi Frame Generation Details
One of the main topics was Dynamic Multi Frame Generation. NVIDIA made it clear that only the latest RTX 50-series supports this feature. If you’re using an RTX 40-series card, you won’t find any version of it.
As for gamers using the RTX 50-series, there’s flexibility in setting frame rates. Users can switch between basic modes or specify custom FPS values suited to their needs.
240 FPS and Frame Rate Settings Explained
The 240 FPS mode offers options tailored for user preferences. You can either select the maximum refresh rate based on your monitor or set a custom frame rate directly.
Dynamic Frame Generation also functions separately from Super Resolution. This means gamers can have frame generation happening without the need for upscaling features.
Users decide between max refresh rate or custom FPS.
Dynamic FrameGen operates independently of Super Resolution.
Frame settings remain flexible for user preference.
6x Frame Generation and Quality Insights
NVIDIA elaborated that 6x Frame Generation leverages advanced technology for better visual stability and minimal ghosting. However, it’s not mandatory to use the 2nd Gen Transformer model to benefit from it. Yet, you’ll get the best results if you do.
Finally, keep in mind that while Dynamic FrameGen adjusts how many frames it generates, it doesn’t alter the upscaling settings. This ensures that users maintain quality visuals while optimizing performance based on their setup.
Luca Fischer is a senior technology journalist with more than twelve years of professional experience specializing in artificial intelligence, cybersecurity, and consumer electronics. L. Fischer earned his M.S. in Computer Science from Columbia University in 2011, where he developed a strong foundation in data science and network security before transitioning into tech media.
Throughout his career, Luca has been recognized for his clear, analytical approach to explaining complex technologies. His in-depth articles explore how AI innovations, privacy frameworks, and next-generation devices impact both industry and society.
Luca’s work has appeared across leading digital publications, where he delivers detailed reviews, investigative reports, and feature analyses on major players such as Google, Microsoft, Nvidia, AMD, Intel, OpenAI, Anthropic, and Perplexity AI.
Beyond writing, he mentors young journalists entering the AI-tech field and advocates for transparent, ethical technology communication. His goal is to make the future of technology understandable and responsible for everyone.
