> For the complete documentation index, see [llms.txt](https://docs.ccv.brown.edu/oscar/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ccv.brown.edu/oscar/gpu-computing.md).

# GPU Computing

- [GPUs on Oscar](https://docs.ccv.brown.edu/oscar/gpu-computing/gpus.md)
- [Grace Hopper GH200 GPUs](https://docs.ccv.brown.edu/oscar/gpu-computing/gpus/grace-hopper-gh200-gpus.md)
- [H100 NVL Tensor Core GPUs](https://docs.ccv.brown.edu/oscar/gpu-computing/gpus/h100-nvl-tensor-core-gpus.md)
- [Ampere Architecture GPUs](https://docs.ccv.brown.edu/oscar/gpu-computing/gpus/ampere-architecture-gpus.md): The new Ampere architecture GPUs on Oscar (A6000's and RTX 3090's)
- [Submitting GPU Jobs](https://docs.ccv.brown.edu/oscar/gpu-computing/submit-gpu.md)
- [Intro to CUDA](https://docs.ccv.brown.edu/oscar/gpu-computing/intro-to-cuda.md)
- [Compiling CUDA](https://docs.ccv.brown.edu/oscar/gpu-computing/cuda-compiling.md)
- [Installing Frameworks (PyTorch, TensorFlow, Jax)](https://docs.ccv.brown.edu/oscar/gpu-computing/installing-frameworks-pytorch-tensorflow-jax.md): This page describes installing popular frameworks like TensorFlow, PyTorch & JAX, etc. on your Oscar account.
- [Installing JAX](https://docs.ccv.brown.edu/oscar/gpu-computing/installing-frameworks-pytorch-tensorflow-jax/installing-jax.md): This page describes how to install JAX with Python virtual environments
- [Installing TensorFlow](https://docs.ccv.brown.edu/oscar/gpu-computing/installing-frameworks-pytorch-tensorflow-jax/installing-tensorflow.md): Setting up a GPU-accelerated environment can be challenging due to driver dependencies, version conflicts, and other complexities. Apptainer simplifies this process by encapsulating all these details
- [Mixing MPI and CUDA](https://docs.ccv.brown.edu/oscar/gpu-computing/mpi-cuda.md)


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