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88 lines
3.3 KiB
ReStructuredText
88 lines
3.3 KiB
ReStructuredText
.. _requirements:
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Requirements
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############
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.. _minimum:
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Minimum
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-------
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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 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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Please be aware that iGPU users may be limited in the resolution and refresh
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rate possible with Looking Glass due to the memory bandwidth limitations
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imposed due to the iGPU sharing system RAM for GPU usage.
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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 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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.. _connected_display:
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Connected Display
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^^^^^^^^^^^^^^^^^
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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 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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requirement.
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.. _recommended:
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Recommended
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-----------
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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 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 recommendations are as follows:
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AMD or Intel for the client
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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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 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 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 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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`It has been said <https://github.com/NVIDIA/open-gpu-kernel-modules/discussions/243#discussioncomment-3283415>`_
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that the open-source NVIDIA drivers as of release 525 will enable this support
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and we have made changes to `an experiemental branch <https://github.com/gnif/LookingGlass/tree/dmabuf-test>`_
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to support this, however until NVIDIA release this version and we can test these
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changes against the driver, support will not be included in the release builds
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of Looking Glass.
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