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We prefer the nvcuda library, which reports driver versions. When we
dropped cuda v11, we added a safety check for too-old drivers.  What
we missed was the cudart fallback discovery logic didn't have driver
version wired up.  This fixes cudart discovery to expose the driver
version as well so we no longer reject all GPUs if nvcuda didn't work.

Cleaning up go package naming

Now that we call the GPU discovery routines many times to
update memory, this splits initial discovery from free memory
updating.

We're seeing some corner cases with cudart which might be resolved by
switching to the driver API which comes bundled with the driver package

This change adds support for multiple concurrent requests, as well as
loading multiple models by spawning multiple runners. The default
settings are currently set at 1 concurrent request per model and only 1
loaded model at a time, but these can be adjusted by setting
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS.

Leaving the cudart library loaded kept ~30m of memory
pinned in the GPU in the main process.  This change ensures
we don't hold GPU resources when idle.

"cudart init failure: 35" isn't particularly helpful in the logs.