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* Add support for upcoming NVIDIA Jetsons

The latest Jetsons with JetPack 7 are moving to an SBSA compatible model and
will not require building a JetPack specific variant.

* cuda: bring back dual versions

This adds back dual CUDA versions for our releases,
with v11 and v13 to cover a broad set of GPUs and
driver versions.

* win: break up native builds in build_windows.ps1

* v11 build working on windows and linux

* switch to cuda v12.8 not JIT

* Set CUDA compression to size

* enhance manual install linux docs

This reverts commit dc5a6454.

Prior to this change our official binaries contained both JIT PTX code and
the cubin binary code for our chosen compute capabilities. This change
switches to only compile the PTX code and rely on JIT at runtime for
generating the cubin specific to the users GPU.  The cubins are cached
on the users system, so they should only see a small lag on the very
first model load for a given Ollama release.  This also adds the first
generation of Blackwell GPUs so they aren't reliant on the Hopper PTX.

This change reduces the ggml-cuda.dll from 1.2G to 460M

This should help reduce the runtime dependencies on windows.

* Re-remove cuda v11

Revert the revert - drop v11 support requiring drivers newer than Feb 23

This reverts commit c6bcdc42.

* Simplify layout

With only one version of the GPU libraries, we can simplify things down somewhat.  (Jetsons still require special handling)

* distinct sbsa variant for linux arm64

This avoids accidentally trying to load the sbsa cuda libraries on
a jetson system which results in crashes.

* temporary prevent rocm+cuda mixed loading

Enable parallel building of the GPU architectures.

Bring back v11 until we can better warn users that their driver
is too old.

This reverts commit fa393554.

This reduces the size of our Windows installer payloads by ~256M by dropping
support for nvidia drivers older than Feb 2023.  Hardware support is unchanged.

Linux default bundle sizes are reduced by ~600M to 1G.

Focuses initial Blackwell support on compute capability 12.0
which includes the 50x series of GeForce cards. In the future
additional compute capabilities may be added

* Add cuda Blackwell architecture for v12

* Win: Split rocm out to separate zip file

* Reduce CC matrix

The 6.2 and 7.2 architectures only appear on Jetsons, so they were wasting space.
The 5.0 should be forward compatible with 5.2 and 5.3.

CUDA 12.x still supports Compute Capability 5.0, 5.2 and 5.3,
so let's build for these architectures as well

* add build to .dockerignore

* test: only build one arch

* add build to .gitignore

* fix ccache path

* filter amdgpu targets

* only filter if autodetecting

* Don't clobber gpu list for default runner

This ensures the GPU specific environment variables are set properly

* explicitly set CXX compiler for HIP

* Update build_windows.ps1

This isn't complete, but is close.  Dependencies are missing, and it only builds the "default" preset.

* build: add ollama subdir

* add .git to .dockerignore

* docs: update development.md

* update build_darwin.sh

* remove unused scripts

* llm: add cwd and build/lib/ollama to library paths

* default DYLD_LIBRARY_PATH to LD_LIBRARY_PATH in runner on macOS

* add additional cmake output vars for msvc

* interim edits to make server detection logic work with dll directories like lib/ollama/cuda_v12

* remove unncessary filepath.Dir, cleanup

* add hardware-specific directory to path

* use absolute server path

* build: linux arm

* cmake install targets

* remove unused files

* ml: visit each library path once

* build: skip cpu variants on arm

* build: install cpu targets

* build: fix workflow

* shorter names

* fix rocblas install

* docs: clean up development.md

* consistent build dir removal in development.md

* silence -Wimplicit-function-declaration build warnings in ggml-cpu

* update readme

* update development readme

* llm: update library lookup logic now that there is one runner (#8587)

* tweak development.md

* update docs

* add windows cuda/rocm tests

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Co-authored-by: jmorganca <jmorganca@gmail.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>