add GPU environment
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@ -60,6 +60,13 @@ Please open an [issue](https://git.sandbox.iuk.hdm-stuttgart.de/grosse/jupyterla
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Please open an [issue](https://git.sandbox.iuk.hdm-stuttgart.de/grosse/jupyterlab-datascience-gpu/issues/new) if any additional packages are needed or issues occurred.
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Please open an [issue](https://git.sandbox.iuk.hdm-stuttgart.de/grosse/jupyterlab-datascience-gpu/issues/new) if any additional packages are needed or issues occurred.
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#### GPU Ollama environment
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* Available Ollama image is based on [Datascience GPU Container](https://git.sandbox.iuk.hdm-stuttgart.de/grosse/-/packages/container/jupyterlab-datascience-gpu/latest)
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* support added for the NVIDIA GPU A100 computations based on python library PyTorch.
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Please open an [issue](https://git.sandbox.iuk.hdm-stuttgart.de/grosse/jupyterlab-datascience-gpu/issues/new) if any additional packages are needed or issues occurred.
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### Resources
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### Resources
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Each instance has following resource limits:
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Each instance has following resource limits:
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- maximum 2 physical CPUs, guranteed 0.5 CPUs
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- maximum 2 physical CPUs, guranteed 0.5 CPUs
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