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[doc] fix my inabillity to spell :)
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@ -11,9 +11,9 @@ Minimum
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The most basic requirement to make use of Looking Glass is to have a system
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with two GPUs, the following configurations are valid:
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* Two descrete GPUs (dGPU)
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* A descrete GPU and an integrated (iGPU) such as is common in laptops.
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* A descrete GPU or iGPU and a virtual GPU (vGPU) as supported by some
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* Two discrete GPUs (dGPU)
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* A discrete GPU and an integrated (iGPU) such as is common in laptops.
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* A discrete GPU or iGPU and a virtual GPU (vGPU) as supported by some
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hardware.
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.. note::
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@ -23,14 +23,14 @@ with two GPUs, the following configurations are valid:
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Looking Glass aims to achieve the lowest possible latency and as such it
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is important that you do not overload your system. The minimum recommended CPU
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to obtain a decent expereience with Looking Glass is 6 cores or more, with
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to obtain a decent experience with Looking Glass is 6 cores or more, with
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Hyper-threading (>= 12 threads).
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PCIe bandwidth can also be a limiting factor, as such both GPUs should have a
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minimum of 8 lanes (x8) at PCIe3 speeds, or 4 lanes (x4) at PCIe4 speeds.
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The GPU used for the guest virtual machine must have either a physical monitor
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attached to it, or a cheap dummy plug. The guest operating system (most notibly
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attached to it, or a cheap dummy plug. The guest operating system (most notably
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Windows) will disable the GPU output if there is nothing attached to it and
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Looking Glass will not be able to function. If you are using a vGPU the virtual
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device should already have a virtual monitor attached to it negating this
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@ -46,12 +46,12 @@ At this time the recommended configuration is as follows:
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* CPU 8 cores (16 threads) or better @ 3.0GHz or faster (full cores, not
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efficiency cores).
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* Two descrete GPUs consisting of:
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* Two discrete GPUs consisting of:
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* AMD or Intel brand GPU for the client application (usually your host system).
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* NVIDIA brand GPU for the guest system (virtual machine).
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The reason for these reccomendations are as follows:
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The reason for these recommendations are as follows:
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AMD or Intel for the client
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -60,16 +60,16 @@ AMD and Intel both support the `DMABUF` feature which enables offloading memory
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transfers to the GPU hardware. Please note that making use of this feature
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requires :doc:`loading the KVMFR kernel module <module>`.
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Additionally AMD GPUs suffer stabillity issues when operating as a passthrough
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Additionally AMD GPUs suffer stability issues when operating as a passthrough
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device and as such we do not recommend their usage for such purposes. Models of
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note that have issues include but are not limited to the entire Polaris, Vega,
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Navi and BigNavi GPU series. Vega and Navi are notibly the worst and should be
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Navi and BigNavi GPU series. Vega and Navi are notably the worst and should be
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avoided for virtualization usage.
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NVIDIA for the guest
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^^^^^^^^^^^^^^^^^^^^
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NVIDIA unlike AMD do not seem to suffer from the same stabillity issues as AMD
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NVIDIA unlike AMD do not seem to suffer from the same stability issues as AMD
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GPUs when operating as a passthrough GPU, however due to the closed source
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nature of their drivers NVIDIA can not make use of the DMABUF feature in the
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Linux kernel and as such it is not recommended for use as the host GPU.
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@ -1,5 +1,6 @@
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backtrace
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borderless
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BigNavi
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cgroups
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clang
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cmake
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@ -32,6 +33,7 @@ mipmapping
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modprobe
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msys
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multisampling
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Navi
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Nvidia
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overlayed
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pacman
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