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Standardized Android client #14

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TriDefender opened this issue Jul 17, 2024 · 3 comments
Open

Standardized Android client #14

TriDefender opened this issue Jul 17, 2024 · 3 comments
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enhancement New feature or request

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@TriDefender
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Would it be possible to build a Android client so you can enter the IP of the master node so you can start inference directly? Also, new SoCs of Qualcomm have built-in NPUs, would it be possible to utilise these dedicated hardware?

@PylotLight
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Would it be possible to build a Android client so you can enter the IP of the master node so you can start inference directly? Also, new SoCs of Qualcomm have built-in NPUs, would it be possible to utilise these dedicated hardware?

I would wonder about the google tensor chips, and intel/amd NPUs as well for hwa.

@evilsocket evilsocket added the enhancement New feature or request label Jul 17, 2024
@evilsocket
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Android: yes, entirely possible, especially if somebody helps with it :)

Qualcomm: theoretically possible, but would require a dedicated inference backend, which would be very complex to write.

@TriDefender
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Would it be possible to build a Android client so you can enter the IP of the master node so you can start inference directly? Also, new SoCs of Qualcomm have built-in NPUs, would it be possible to utilise these dedicated hardware?

I would wonder about the google tensor chips, and intel/amd NPUs as well for hwa.

For Intel, they have something called IPEX-LLM, where you can use cpu/igpu/dgpu/npu, as long as they are all intel devices. Basically you send the model to "xpu" then it will be processed by the designated device. I just don't know if they can processes sliced networks.

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