this post was submitted on 27 Sep 2023
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"In our tests, on a select set of popular PC games, we observed an average of ~16% FPS increase1 and ~27% display latency reduction1. In addition, CASO contributed to a 45% decrease in timeout detection and recovery events (TDRs)"

Cross Adapter Scan-Out (CASO) can improve the performance of hybrid laptops that have both an integrated GPU (iGPU) and a discrete GPU (dGPU) or external GPU (eGPU). CASO is a feature of DirectX that allows the dGPU/eGPU to directly display the rendered frames on the screen, bypassing the iGPU. This reduces the display latency and increases the FPS for gaming scenarios. CASO does not require any specialized hardware solutions like NVIDIA’s Advanced Optimus or AMD’s Smart Access Graphics (no mux switch needed), but it does require Windows 11 and compatible hardware (AMD 6000, Intel Iris, any nvidia dGPU).

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[–] [email protected] 6 points 1 year ago* (last edited 1 year ago) (3 children)

I've not heard of both iGPU and dGPU being referred to as hydrid. I don't get how it's hybrid.

any nvidia dGPU).

No AMD GPU?

[–] [email protected] 5 points 1 year ago

Usually, you'd only have one GPU working on a display. However many laptops come with the ability to leverage two GPUs on one display. On such setups, these typically involve the iGPU, which is weaker but less power hungry, and the dGPU, which is more powerful but comes at an additional power cost.

Hybrid mode is when the iGPU is doing the typical GUI stuff and the dGPU kicks in for more GPU intense stuff like games.

[–] [email protected] 4 points 1 year ago

They didn't mention it but I assume the dGPUs that shipped with 6000 series CPUs are supported. Definitely need to confirm it.

[–] [email protected] 3 points 1 year ago

The Idea is, that the integrated CPU is a lot more efficient. So if you're only browsing or having the desktop open, only the internal one is working, while the dGPU can be powered off completly, increasing battery life. But Games can still use the full power of a diskrete GPU.