# GPU Computing

- [GPUs on Oscar](/oscar/gpu-computing/gpus.md)
- [Grace Hopper GH200 GPUs](/oscar/gpu-computing/gpus/grace-hopper-gh200-gpus.md)
- [H100 NVL Tensor Core GPUs](/oscar/gpu-computing/gpus/h100-nvl-tensor-core-gpus.md)
- [Ampere Architecture GPUs](/oscar/gpu-computing/gpus/ampere-architecture-gpus.md): The new Ampere architecture GPUs on Oscar (A6000's and RTX 3090's)
- [Submitting GPU Jobs](/oscar/gpu-computing/submit-gpu.md)
- [Intro to CUDA](/oscar/gpu-computing/intro-to-cuda.md)
- [Compiling CUDA](/oscar/gpu-computing/cuda-compiling.md)
- [Installing Frameworks (PyTorch, TensorFlow, Jax)](/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](/oscar/gpu-computing/installing-frameworks-pytorch-tensorflow-jax/installing-jax.md): This page describes how to install JAX with Python virtual environments
- [Installing TensorFlow](/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](/oscar/gpu-computing/mpi-cuda.md)