# Use cases

- [Jupyter Notebook Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/jupyter-notebook-use-case.md): This guide walks you through running an object detection model using YOLOv8 on Jupyter Notebook, from setup to inference
- [vLLM Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/vllm-use-case.md)
- [Deploy model GPT-OSS by using vLLM v0.10.0](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/deploy-model-gpt-oss-by-using-vllm-v0.10.0.md)
- [Ollama-OpenWebUI Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/ollama-openwebui-use-case.md)
- [Code Server Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/code-server-use-case.md): This guide will walk you through fine-tuning a pre-trained BERT model on the GLUE MRPC task using a GPU-enabled Code Server container.
- [Ubuntu Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/ubuntu-use-case.md): Use an Ubuntu template and SSH to create a remote environment. Then, SSH into it, install the CUDA driver and PyTorch.
- [NVIDIA CUDA Use Case](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/use-cases/nvidia-cuda-use-case.md): This guide will walk you through setting up and running CUDA applications using GPU Container


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