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Kutu

Kutu, куту, is the Kyrgyz word for "box". Here we store all the container images of the open-source simulators supported by the Inductiva API, which allows users to easily run physical simulations on the cloud.

These containers are inspired by many others available online. Moving forward, these containers will take into consideration high-performance computing environments (HPC), platform versatility and be as lightweight as possible.

Getting Started

Currently, our container images follow the Dockerfile standards, which are compatible with other platforms like Apptainer.

Each simulator provided has at least one container image. Depending on the version of the simulator, more than one container image may be available.

To use one of the containers to run simulations, you need to build them locally. For example, we can build GROMACS as follows:

docker build -f simulators/gromacs/Dockerfile -t gromacs-image .

Then, you can run the container with the following command:

docker run -it gromacs-image

This will allow the isolation of the simulation environment from the host machine.

Additionally, all our Docker images are available in our Docker Hub repository. You can pull any image directly from there without needing to build it locally. For instance, to pull the GROMACS image, you can use:

docker pull inductiva/kutu:gromacs_v2022.2

Docker Images

Tag Size (MB)
openfast_v4.0.3 83.2683687210083 MB
cans_v3.0.0 98.62833499908447 MB
swash_v9.01A 101.622633934021 MB
gromacs_v2025.1 111.13646411895752 MB
apptainer-converter_v0.1.0 114.74631023406982 MB
mohid_v24.10 175.23876190185547 MB
sfincs_v2.2.1 214.66022109985352 MB
cm1_v18 239.32962894439697 MB
swan_v41.45 282.5113525390625 MB
swan_v41.31 282.51443099975586 MB
opensees_v2.5.0 290.51967906951904 MB
snl-swan_v2.2 298.9218330383301 MB
dualsphysics_v5.2.1 320.4835147857666 MB
amr-wind_v1.4.0 325.1194372177124 MB 721E
amr-wind_v3.4.1 333.0209074020386 MB
amr-wind_v3.4.0 333.0294647216797 MB
opentelemac_v9.0.0 382.2199287414551 MB
opentelemac_v8p4r0 384.2470808029175 MB
swash_v10.01A 390.79254245758057 MB
swash_v10.05 390.88879013061523 MB
swash_v11.01 390.89534854888916 MB
nwchem_v7.2.2 403.40702056884766 MB
nwchem_v7.2.3 404.76081562042236 MB
delft3d_v6.04.00 517.3401861190796 MB
swan_v41.51 558.3809080123901 MB
cm1_v21.1 576.6939287185669 MB
reef3d_v24.02 778.3759803771973 MB
schism_v5.13.0 836.2760696411133 MB
opensees-eesd_v3.0.2 890.849702835083 MB
fds_v6.10.1 952.6337289810181 MB
reef3d_v24.12 1075.5085287094116 MB
reef3d_v25.02 1102.0069732666016 MB
quantum-espresso_v7.3.1 1275.9760751724243 MB
quantum-espresso_v7.4.1 1307.454647064209 MB
gromacs_v2025.1_gpu 1412.1280975341797 MB
dualsphysics_v5.4.1 1662.9539070129395 MB
coawst_v3.8 1674.9419555664062 MB
cp2k_v2025.1 1710.383994102478 MB
openseespy_v3.7.1 1811.5896615982056 MB
cp2k_v2025.1_gpu 2147.861210823059 MB
dualsphysics_v5.4.1_gpu 2167.187635421753 MB
cans_v2.4.0_gpu 3278.5980014801025 MB
cans_v3.0.0_gpu 3280.701066017151 MB
amr-wind_v3.4.0_gpu 3588.6835708618164 MB
amr-wind_v3.4.1_gpu 3613.75515460968 MB
amr-wind_v1.4.0_gpu 5300.673182487488 MB

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Easy-to-use container images for open-source simulators.

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