DirectX 12 Multiple GPU

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Apr 14, 2016
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I recently learned that Dx12 has a feature called Multiple Adapter which allows you to use your integrated GPU along with your dedicated GPU, and using multiple GPU's (crossfire / SLI) along with your integrated GPU.

Is it possible to use two dedicated GPU's not in Crossfire or SLI along with the integrated? I have a GTX 950 (installed) and a 650 lying around. Can I set that into my motherboard and make use of it? Thanks.
 
Solution
Two terms:
1. Explicit Multi-Adapter is still theoretical. EMA is the ability for DX12 and your system to not only recognize that there are multiple gpus installed but use them, regardless of vendor or class. So you could pair any number of combinations of Radeon and Geforce gpus. Theoretically you could also combine Intel’s igpu with a dedicated graphics card, but no luck with that in reality yet. Even with EMA it's important to keep cards similar in performance when mixing them as they’re using Split-Frame Rendering and will be using the gpus in parallel, so one being significantly stronger can have a very negative impact on performance.

2. MultiGPU is working (kind of). Rise of the Tomb Raider is the first title to implement...
Two terms:
1. Explicit Multi-Adapter is still theoretical. EMA is the ability for DX12 and your system to not only recognize that there are multiple gpus installed but use them, regardless of vendor or class. So you could pair any number of combinations of Radeon and Geforce gpus. Theoretically you could also combine Intel’s igpu with a dedicated graphics card, but no luck with that in reality yet. Even with EMA it's important to keep cards similar in performance when mixing them as they’re using Split-Frame Rendering and will be using the gpus in parallel, so one being significantly stronger can have a very negative impact on performance.

2. MultiGPU is working (kind of). Rise of the Tomb Raider is the first title to implement MultiGPU (mGPU) on CrossFire/SLI systems using the DX12 API. Using DX12, Rise of the Tomb Raider was able to achieve extremely good CPU efficiency and in doing so, extract more GPU power in a mGPU system than was possible before.
 
Solution