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This adds back a check which was lost many releases back to verify /dev/kfd permissions
which when lacking, can lead to confusing failure modes of:
  "rocBLAS error: Could not initialize Tensile host: No devices found"

This implementation does not hard fail the serve command but instead will fall back to CPU
with an error log.  In the future we can include this in the GPU discovery UX to show
detected but unsupported devices we discovered.

add *_proxy to env map for debugging

* Quiet down dockers new lint warnings

Docker has recently added lint warnings to build.  This cleans up those warnings.

* Fix go lint regression

Includes small improvements to document layout and code blocks

When we determine a GPU is too small for any layers, it's not always clear why.
This will help troubleshoot those scenarios.

This reverts commit a60d9b89.

With the new very large parameter models, some users are willing to wait for
a very long time for models to load.

Provide a mechanism for users to set aside an amount of VRAM on each GPU
to make room for other applications they want to start after Ollama, or workaround
memory prediction bugs

llama3.1 memory

* Update gpu.md

    Seems strange that the laptop versions of 3050 and 3050 Ti would be supported but not the non-notebook, but this is what the page (https://developer.nvidia.com/cuda-gpus

) says.
Signed-off-by: bean5 <2052646+bean5@users.noreply.github.com>

* Update gpu.md

Remove notebook reference

---------
Signed-off-by: bean5 <2052646+bean5@users.noreply.github.com>

Replace "command -v" with encapsulated functionality

Added Enchanted with Apple Vision Pro support

change "dorrect" to "correct"