remove cuda v11 (#10569)

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.
This commit is contained in:
Daniel Hiltgen 2025-05-06 17:33:19 -07:00 committed by GitHub
parent 307e3b3e1d
commit fa393554b9
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
11 changed files with 11 additions and 58 deletions

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@ -103,11 +103,6 @@ jobs:
arch: [amd64]
preset: ['CPU']
include:
- os: windows
arch: amd64
preset: 'CUDA 11'
install: https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.89_win10.exe
cuda-version: '11.3'
- os: windows
arch: amd64
preset: 'CUDA 12'
@ -324,7 +319,6 @@ jobs:
case "$COMPONENT" in
bin/ollama) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/*.so) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_v11) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_v12) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
lib/ollama/cuda_jetpack5) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack5.tar.in ;;
lib/ollama/cuda_jetpack6) echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack6.tar.in ;;

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@ -46,7 +46,7 @@ jobs:
include:
- preset: CPU
- preset: CUDA
container: nvidia/cuda:11.8.0-devel-ubuntu22.04
container: nvidia/cuda:12.8.1-devel-ubuntu22.04
flags: '-DCMAKE_CUDA_ARCHITECTURES=87'
- preset: ROCm
container: rocm/dev-ubuntu-22.04:6.1.2
@ -78,7 +78,7 @@ jobs:
include:
- preset: CPU
- preset: CUDA
install: https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.89_win10.exe
install: https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda_12.8.0_571.96_windows.exe
flags: '-DCMAKE_CUDA_ARCHITECTURES=80'
- preset: ROCm
install: https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-24.Q4-WinSvr2022-For-HIP.exe
@ -102,7 +102,7 @@ jobs:
$ErrorActionPreference = "Stop"
if ("${{ steps.cache-install.outputs.cache-hit }}" -ne 'true') {
Invoke-WebRequest -Uri "${{ matrix.install }}" -OutFile "install.exe"
Start-Process -FilePath .\install.exe -ArgumentList (@("-s", "cudart_11.3", "nvcc_11.3", "cublas_11.3", "cublas_dev_11.3")) -NoNewWindow -Wait
Start-Process -FilePath .\install.exe -ArgumentList (@("-s", "cudart_12.8", "nvcc_12.8", "cublas_12.8", "cublas_dev_12.8")) -NoNewWindow -Wait
}
$cudaPath = (Resolve-Path "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\*").path

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@ -17,14 +17,6 @@
"name": "CUDA",
"inherits": [ "Default" ]
},
{
"name": "CUDA 11",
"inherits": [ "CUDA" ],
"cacheVariables": {
"CMAKE_CUDA_ARCHITECTURES": "50;52;53;60;61;70;75;80;86",
"CMAKE_CUDA_FLAGS": "-Wno-deprecated-gpu-targets"
}
},
{
"name": "CUDA 12",
"inherits": [ "CUDA" ],
@ -78,11 +70,6 @@
"configurePreset": "CUDA",
"targets": [ "ggml-cuda" ]
},
{
"name": "CUDA 11",
"inherits": [ "CUDA" ],
"configurePreset": "CUDA 11"
},
{
"name": "CUDA 12",
"inherits": [ "CUDA" ],

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@ -7,14 +7,10 @@ ARG JETPACK5VERSION=r35.4.1
ARG JETPACK6VERSION=r36.4.0
ARG CMAKEVERSION=3.31.2
# CUDA v11 requires gcc v10. v10.3 has regressions, so the rockylinux 8.5 AppStream has the latest compatible version
FROM --platform=linux/amd64 rocm/dev-almalinux-8:${ROCMVERSION}-complete AS base-amd64
RUN yum install -y yum-utils \
&& yum-config-manager --add-repo https://dl.rockylinux.org/vault/rocky/8.5/AppStream/\$basearch/os/ \
&& rpm --import https://dl.rockylinux.org/pub/rocky/RPM-GPG-KEY-Rocky-8 \
&& dnf install -y yum-utils ccache gcc-toolset-10-gcc-10.2.1-8.2.el8 gcc-toolset-10-gcc-c++-10.2.1-8.2.el8 gcc-toolset-10-binutils-2.35-11.el8 \
&& dnf install -y ccache \
&& yum-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo
ENV PATH=/opt/rh/gcc-toolset-10/root/usr/bin:$PATH
FROM --platform=linux/arm64 almalinux:8 AS base-arm64
# install epel-release for ccache
@ -38,15 +34,6 @@ RUN --mount=type=cache,target=/root/.ccache \
&& cmake --build --parallel --preset 'CPU' \
&& cmake --install build --component CPU --strip --parallel 8
FROM base AS cuda-11
ARG CUDA11VERSION=11.3
RUN dnf install -y cuda-toolkit-${CUDA11VERSION//./-}
ENV PATH=/usr/local/cuda-11/bin:$PATH
RUN --mount=type=cache,target=/root/.ccache \
cmake --preset 'CUDA 11' \
&& cmake --build --parallel --preset 'CUDA 11' \
&& cmake --install build --component CUDA --strip --parallel 8
FROM base AS cuda-12
ARG CUDA12VERSION=12.8
RUN dnf install -y cuda-toolkit-${CUDA12VERSION//./-}
@ -98,11 +85,9 @@ RUN --mount=type=cache,target=/root/.cache/go-build \
go build -trimpath -buildmode=pie -o /bin/ollama .
FROM --platform=linux/amd64 scratch AS amd64
COPY --from=cuda-11 dist/lib/ollama/cuda_v11 /lib/ollama/cuda_v11
COPY --from=cuda-12 dist/lib/ollama/cuda_v12 /lib/ollama/cuda_v12
FROM --platform=linux/arm64 scratch AS arm64
COPY --from=cuda-11 dist/lib/ollama/cuda_v11 /lib/ollama/cuda_v11
COPY --from=cuda-12 dist/lib/ollama/cuda_v12 /lib/ollama/cuda_v12
COPY --from=jetpack-5 dist/lib/ollama/cuda_v11 /lib/ollama/cuda_jetpack5
COPY --from=jetpack-6 dist/lib/ollama/cuda_v12 /lib/ollama/cuda_jetpack6

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@ -3,6 +3,7 @@
package discover
import (
"fmt"
"log/slog"
"os"
"regexp"
@ -59,6 +60,8 @@ func cudaVariant(gpuInfo CudaGPUInfo) string {
// driver 12.0 has problems with the cuda v12 library, so run v11 on those older drivers
if gpuInfo.DriverMajor < 12 || (gpuInfo.DriverMajor == 12 && gpuInfo.DriverMinor == 0) {
// The detected driver is older than Feb 2023
slog.Warn("old CUDA driver detected - please upgrade to a newer driver", "version", fmt.Sprintf("%d.%d", gpuInfo.DriverMajor, gpuInfo.DriverMinor))
return "v11"
}
return "v12"

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@ -12,7 +12,7 @@ import (
// '../lib/ollama' on Linux and the executable's directory on macOS
// note: distribution builds, additional GPU-specific libraries are
// found in subdirectories of the returned path, such as
// 'cuda_v11', 'cuda_v12', 'rocm', etc.
// 'cuda_v12', 'rocm', etc.
var LibOllamaPath string = func() string {
exe, err := os.Executable()
if err != nil {

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@ -1,6 +1,6 @@
# GPU
## Nvidia
Ollama supports Nvidia GPUs with compute capability 5.0+.
Ollama supports Nvidia GPUs with compute capability 5.0+ and driver version 531 and newer.
Check your compute compatibility to see if your card is supported:
[https://developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus)

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@ -43,7 +43,7 @@ Ollama includes multiple LLM libraries compiled for different GPUs and CPU vecto
In the server log, you will see a message that looks something like this (varies from release to release):
```
Dynamic LLM libraries [rocm_v6 cpu cpu_avx cpu_avx2 cuda_v11 rocm_v5]
Dynamic LLM libraries [rocm_v6 cpu cpu_avx cpu_avx2 cuda_v12 rocm_v5]
```
**Experimental LLM Library Override**

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@ -286,7 +286,7 @@ func NewLlamaServer(gpus discover.GpuInfoList, modelPath string, f *ggml.GGML, a
params = append(params, "--mmproj", projectors[0])
}
// iterate through compatible GPU libraries such as 'cuda_v12', 'cuda_v11', 'rocm', etc.
// iterate through compatible GPU libraries such as 'cuda_v12', 'rocm', etc.
// adding each library's respective path to the LD_LIBRARY_PATH, until finally running
// without any LD_LIBRARY_PATH flags
for {

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@ -27,7 +27,6 @@ function checkEnv() {
$env:VCToolsRedistDir=(get-item "${MSVC_INSTALL}\VC\Redist\MSVC\*")[0]
}
# Locate CUDA versions
# Note: this assumes every version found will be built
$cudaList=(get-item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v*\bin\" -ea 'silentlycontinue')
if ($cudaList.length -eq 0) {
$d=(get-command -ea 'silentlycontinue' nvcc).path
@ -94,19 +93,6 @@ function buildOllama() {
$hashEnv = @{}
Get-ChildItem env: | foreach { $hashEnv[$_.Name] = $_.Value }
if ("$script:CUDA_DIRS".Contains("v11")) {
$hashEnv.Keys | foreach { if ($_.Contains("CUDA_PATH_V11")) { $v11="$_" }}
$env:CUDAToolkit_ROOT=$hashEnv[$v11]
write-host "Building CUDA v11 backend libraries"
# Note: cuda v11 requires msvc 2019 so force the older generator
# to avoid 2022 (or newer) from being used as the default
& cmake --fresh --preset "CUDA 11" -G "Visual Studio 16 2019" --install-prefix $script:DIST_DIR
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
& cmake --build --preset "CUDA 11" --config Release --parallel $script:JOBS
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
& cmake --install build --component "CUDA" --strip
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
if ("$script:CUDA_DIRS".Contains("v12")) {
$hashEnv.Keys | foreach { if ($_.Contains("CUDA_PATH_V12")) { $v12="$_" }}
$env:CUDAToolkit_ROOT=$hashEnv[$v12]

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@ -10,9 +10,7 @@ OLLAMA_COMMON_BUILD_ARGS="--build-arg=VERSION \
--build-arg=GOFLAGS \
--build-arg=OLLAMA_CUSTOM_CPU_DEFS \
--build-arg=OLLAMA_SKIP_CUDA_GENERATE \
--build-arg=OLLAMA_SKIP_CUDA_11_GENERATE \
--build-arg=OLLAMA_SKIP_CUDA_12_GENERATE \
--build-arg=CUDA_V11_ARCHITECTURES \
--build-arg=CUDA_V12_ARCHITECTURES \
--build-arg=OLLAMA_SKIP_ROCM_GENERATE \
--build-arg=OLLAMA_FAST_BUILD \