GitLab

Ensure that in a version skewed multi-cuda setup we use the lowest version for all GPUs

Prioritize GPU compute capability over driver version to ensure
Pascal GPUs (CC 6.1) use compatible CUDA v12 libraries instead of v13.

* 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

* Always filter devices

Avoid crashing on unsupported AMD iGPUs

* Remove cuda device filtering

This interferes with mixed setups

* 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

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.

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

Cleaning up go package naming

It looks like driver 525 (aka, cuda driver 12.0) has problems with the cuda v12 library
we compile against, so run v11 on those older drivers if detected.

Based on compute capability and driver version, pick
v12 or v11 cuda variants.

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.