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

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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)
echo_v0.1 28.168192863464355 MB
openfast_v3.5.2 73.00116920471191 MB
openfast_v4.0.2 83.28230571746826 MB
cans_v2.4.0 97.27389526367188 MB
fvcom_v5.1.0 100.73739910125732 MB
swash_v9.01A 101.37859630584717 MB
gromacs_v2025.0 109.83393669128418 MB
amr-wind_v1.4.0 113.89888286590576 MB
amr-wind_v3.4.0 127.6489782333374 MB
mohid_v24.10 175.23876190185547 MB
cm1_v18 239.32962894439697 MB
swan_v41.45 282.0641851425171 MB
swan_v41.31 282.0675048828125 MB
opensees_v2.5.0 290.51967906951904 MB
snl-swan_v2.2 295.79521083831787 MB
dualsphysics_v5.2.1 317.7801342010498 MB
swash_v10.01A 390.277024269104 MB
swash_v10.05 390.37336444854736 MB
swash_v11.01 390.3799104690552 MB
nwchem_v7.2.2 396.5039577484131 MB
nwchem_v7.2.3 401.409161567688 MB
openfoam-foundation_v8 527.9802980422974 MB
base-image_v0.1.1 553.7915143966675 MB
swan_v41.51 558.3809003829956 MB
cm1_v21.1 576.6939287185669 MB
openfoam-foundation_v12 628.443922996521 MB
opensees_v3.7.1 719.4835586547852 MB
reef3d_v24.02 778.3759803771973 MB
openseespy_v3.7.1 899.0399379730225 MB
fds_v6.9.1 944.8491230010986 MB
reef3d_v24.12 1075.5085287094116 MB
reef3d_v25.02 1102.0069732666016 MB
openfoam-esi_v2206 1148.198037147522 MB
openfoam-esi_v2406 1170.1125230789185 MB
openfoam-esi_v2412 1177.428095817566 MB
quantum-espresso_v7.3.1 1275.9760751724243 MB
quantum-espresso_v7.4.1 1307.454647064209 MB
gromacs_v2022.2_gpu 1385.8429822921753 MB
gromacs_v2025.0_gpu 1410.7519044876099 MB
dualsphysics_v5.2.1_gpu 1433.2349166870117 MB
coawst_v3.8 1674.9419555664062 MB
cp2k_v2025.1 1710.383994102478 MB
cp2k_v2025.1_gpu 2147.861210823059 MB
gx_v11-2024_gpu 2695.2003326416016 MB

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

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