"conda install" failing due to an unrelated and already-installed package showing as being unavailable?
Author: stevenbedrickCreated Jul 23, 2024Updated Sep 18, 2026
Labelstype::bugsource::communitypending::discussionstale::recovered
Checklist
- I added a descriptive title
- I searched open reports and couldn't find a duplicate
What happened?
Hello! After using conda to install CUDA into my environment (via conda install -c nvidia cuda), now all of a sudden installing additional packages is failing with the following error message:
(new_cluster_cuda_env) % conda install protobuf
Channels:
- defaults
- conda-forge
- nvidia
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: failed
InvalidSpec: The package "nvidia/linux-64::cuda==12.5.1=0" is not available for the specified platformThere are at least two things weird about this message:
- As best as I can tell, the
protobufpackage is unrelated to anything CUDA; notably, I get the same message if I try and install other packages (e.g.rust) so I suspect that it's something more generally borked with my conda environment somehow. nvidia::cuda12.5.1 very much does exist for thelinux-64platform and is in fact already successfully installed in this environment and working like a champ, so it's not clear why the package resolver would think that it's not available.
I am admittedly a newbie to Anaconda (though not to Python or Linux more generally) so it's possible that I'm missing something obvious and basic; if that's the case, I apologize! Any pointers or help would be very much appreciated, thanks!
Conda Info
active environment : /home/exacloud/gscratch/BedrickLab/bedricks/new_cluster_cuda_env
active env location : /home/exacloud/gscratch/BedrickLab/bedricks/new_cluster_cuda_env
shell level : 1
user config file : /home/users/bedricks/.condarc
populated config files : /home/users/bedricks/.condarc
conda version : 24.4.0
conda-build version : not installed
python version : 3.12.3.final.0
solver : libmamba (default)
virtual packages : __archspec=1=sapphirerapids
__conda=24.4.0=0
__cuda=12.5=0
__glibc=2.34=0
__linux=5.14.0=0
__unix=0=0
base environment : /home/users/bedricks/miniconda3 (writable)
conda av data dir : /home/users/bedricks/miniconda3/etc/conda
conda av metadata url : None
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /home/exacloud/gscratch/BedrickLab/bedricks/conda_pkg
envs directories : /home/users/bedricks/miniconda3/envs
/home/users/bedricks/.conda/envs
platform : linux-64
user-agent : conda/24.4.0 requests/2.31.0 CPython/3.12.3 Linux/5.14.0-362.24.1.el9_3.x86_64 rhel/9.3 glibc/2.34 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.8 aau/0.4.4 c/. s/. e/.
UID:GID : 3394:3024
netrc file : None
offline mode : FalseConda Config
==> /home/users/bedricks/.condarc <==
auto_activate_base: False
env_prompt: ({name})
pkgs_dirs:
- /home/exacloud/gscratch/BedrickLab/bedricks/conda_pkgConda list
# packages in environment at /home/exacloud/gscratch/BedrickLab/bedricks/new_cluster_cuda_env:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
_sysroot_linux-64_curr_repodata_hack 3 h69a702a_16 conda-forge
binutils 2.40 h4852527_7 conda-forge
binutils_impl_linux-64 2.40 ha1999f0_7 conda-forge
binutils_linux-64 2.40 hb3c18ed_0 conda-forge
bzip2 1.0.8 h5eee18b_6 defaults
c-ares 1.19.1 h5eee18b_0 defaults
c-compiler 1.7.0 hd590300_1 conda-forge
ca-certificates 2024.7.4 hbcca054_0 conda-forge
cachetools 5.4.0 pypi_0 pypi
ccache 3.7.9 hfe4627d_0 defaults
cmake 3.26.4 h96355d8_0 defaults
compilers 1.7.0 ha770c72_1 conda-forge
cuda 12.5.1 0 nvidia
cuda-cccl 12.5.39 0 nvidia
cuda-cccl_linux-64 12.5.39 0 nvidia
cuda-command-line-tools 12.5.1 0 nvidia
cuda-compiler 12.5.1 0 nvidia
cuda-crt-dev_linux-64 12.5.82 0 nvidia
cuda-crt-tools 12.5.82 0 nvidia
cuda-cudart 12.5.82 0 nvidia
cuda-cudart-dev 12.5.82 0 nvidia
cuda-cudart-dev_linux-64 12.5.82 0 nvidia
cuda-cudart-static 12.5.82 0 nvidia
cuda-cudart-static_linux-64 12.5.82 0 nvidia
cuda-cudart_linux-64 12.5.82 0 nvidia
cuda-cuobjdump 12.5.39 0 nvidia
cuda-cupti 12.5.82 0 nvidia
cuda-cupti-dev 12.5.82 0 nvidia
cuda-cuxxfilt 12.5.82 0 nvidia
cuda-driver-dev 12.5.82 0 nvidia
cuda-driver-dev_linux-64 12.5.82 0 nvidia
cuda-gdb 12.5.82 0 nvidia
cuda-libraries 12.5.1 0 nvidia
cuda-libraries-dev 12.5.1 0 nvidia
cuda-nsight 12.5.82 0 nvidia
cuda-nvcc 12.5.82 0 nvidia
cuda-nvcc-dev_linux-64 12.5.82 0 nvidia
cuda-nvcc-impl 12.5.82 0 nvidia
cuda-nvcc-tools 12.5.82 0 nvidia
cuda-nvcc_linux-64 12.5.82 0 nvidia
cuda-nvdisasm 12.5.39 0 nvidia
cuda-nvml-dev 12.5.82 0 nvidia
cuda-nvprof 12.5.82 0 nvidia
cuda-nvprune 12.5.82 0 nvidia
cuda-nvrtc 12.5.82 0 nvidia
cuda-nvrtc-dev 12.5.82 0 nvidia
cuda-nvtx 12.5.82 0 nvidia
cuda-nvvm-dev_linux-64 12.5.82 0 nvidia
cuda-nvvm-impl 12.5.82 0 nvidia
cuda-nvvm-tools 12.5.82 0 nvidia
cuda-nvvp 12.5.82 0 nvidia
cuda-opencl 12.5.39 0 nvidia
cuda-opencl-dev 12.5.39 0 nvidia
cuda-profiler-api 12.5.39 0 nvidia
cuda-runtime 12.5.1 0 nvidia
cuda-sanitizer-api 12.5.81 0 nvidia
cuda-toolkit 12.5.1 0 nvidia
cuda-tools 12.5.1 0 nvidia
cuda-version 12.5 3 nvidia
cuda-visual-tools 12.5.1 0 nvidia
cxx-compiler 1.7.0 h00ab1b0_1 conda-forge
dbus 1.13.18 hb2f20db_0 defaults
expat 2.6.2 h6a678d5_0 defaults
fontconfig 2.14.1 h4c34cd2_2 defaults
fortran-compiler 1.7.0 heb67821_1 conda-forge
freetype 2.12.1 h4a9f257_0 defaults
gcc 12.4.0 h236703b_0 conda-forge
gcc_impl_linux-64 12.4.0 hb2e57f8_0 conda-forge
gcc_linux-64 12.4.0 h6b7512a_0 conda-forge
gds-tools 1.10.1.7 0 nvidia
gfortran 12.4.0 h236703b_0 conda-forge
gfortran_impl_linux-64 12.4.0 hc568b83_0 conda-forge
gfortran_linux-64 12.4.0 hd748a6a_0 conda-forge
glib 2.78.4 h6a678d5_0 defaults
glib-tools 2.78.4 h6a678d5_0 defaults
gmp 6.2.1 h295c915_3 defaults
gxx 12.4.0 h236703b_0 conda-forge
gxx_impl_linux-64 12.4.0 h557a472_0 conda-forge
gxx_linux-64 12.4.0 h8489865_0 conda-forge
icu 73.1 h6a678d5_0 defaults
kernel-headers_linux-64 3.10.0 h4a8ded7_16 conda-forge
krb5 1.20.1 h143b758_1 defaults
ld_impl_linux-64 2.40 hf3520f5_7 conda-forge
libcublas 12.5.3.2 0 nvidia
libcublas-dev 12.5.3.2 0 nvidia
libcufft 11.2.3.61 0 nvidia
libcufft-dev 11.2.3.61 0 nvidia
libcufile 1.10.1.7 0 nvidia
libcufile-dev 1.10.1.7 0 nvidia
libcurand 10.3.6.82 0 nvidia
libcurand-dev 10.3.6.82 0 nvidia
libcurl 8.7.1 h251f7ec_0 defaults
libcusolver 11.6.3.83 0 nvidia
libcusolver-dev 11.6.3.83 0 nvidia
libcusparse 12.5.1.3 0 nvidia
libcusparse-dev 12.5.1.3 0 nvidia
libedit 3.1.20230828 h5eee18b_0 defaults
libev 4.33 h7f8727e_1 defaults
libffi 3.4.4 h6a678d5_1 defaults
libgcc-devel_linux-64 12.4.0 ha4f9413_100 conda-forge
libgcc-ng 14.1.0 h77fa898_0 conda-forge
libgfortran5 14.1.0 hc5f4f2c_0 conda-forge
libglib 2.78.4 hdc74915_0 defaults
libgomp 14.1.0 h77fa898_0 conda-forge
libiconv 1.16 h5eee18b_3 defaults
libnghttp2 1.57.0 h2d74bed_0 defaults
libnpp 12.3.0.159 0 nvidia
libnpp-dev 12.3.0.159 0 nvidia
libnvfatbin 12.5.82 0 nvidia
libnvfatbin-dev 12.5.82 0 nvidia
libnvjitlink 12.5.82 0 nvidia
libnvjitlink-dev 12.5.82 0 nvidia
libnvjpeg 12.3.2.81 0 nvidia
libnvjpeg-dev 12.3.2.81 0 nvidia
libpng 1.6.39 h5eee18b_0 defaults
libsanitizer 12.4.0 h46f95d5_0 conda-forge
libssh2 1.11.0 h251f7ec_0 defaults
libstdcxx-devel_linux-64 12.4.0 ha4f9413_100 conda-forge
libstdcxx-ng 14.1.0 hc0a3c3a_0 conda-forge
libuuid 1.41.5 h5eee18b_0 defaults
libuv 1.48.0 h5eee18b_0 defaults
libxcb 1.15 h7f8727e_0 defaults
libxkbcommon 1.0.1 h5eee18b_1 defaults
libxml2 2.10.4 hfdd30dd_2 defaults
lz4-c 1.9.4 h6a678d5_1 defaults
ncurses 6.4 h6a678d5_0 defaults
nsight-compute 2024.2.1.2 2 nvidia
nspr 4.35 h6a678d5_0 defaults
nss 3.89.1 h6a678d5_0 defaults
nvidia-ml-py 12.535.161 pypi_0 pypi
nvitop 1.3.2 pypi_0 pypi
openssl 3.3.1 h4bc722e_2 conda-forge
pcre2 10.42 hebb0a14_1 defaults
pip 24.1.2 pypi_0 pypi
psutil 6.0.0 pypi_0 pypi
python 3.12.4 h5148396_1 defaults
readline 8.2 h5eee18b_0 defaults
rhash 1.4.3 hdbd6064_0 defaults
setuptools 69.5.1 py312h06a4308_0 defaults
sqlite 3.45.3 h5eee18b_0 defaults
sysroot_linux-64 2.17 h4a8ded7_16 conda-forge
termcolor 2.4.0 pypi_0 pypi
tk 8.6.14 h39e8969_0 defaults
tzdata 2024a h04d1e81_0 defaults
wheel 0.43.0 py312h06a4308_0 defaults
xz 5.4.6 h5eee18b_1 defaults
zlib 1.2.13 h5eee18b_1 defaults
zstd 1.5.5 hc292b87_2 defaultsAdditional Context
No response
Source: conda/conda