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tornikeo merged 1 commit into from
Feb 16, 2025
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Add H100SXM benchmark #5

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12 changes: 7 additions & 5 deletions README.md
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Expand Up @@ -49,11 +49,13 @@ For details, visit the [preprint](https://www.biorxiv.org/content/biorxiv/early/
## Hardware

Any GPU [supported](https://numba.pydata.org/numba-doc/dev/cuda/overview.html#requirements) by Numba can be used. We tested a number of GPUs:
- GTX 1050 Ti, used on a local laptop
- RTX 2070, used on a local machine
- T4 GPU, offered for free on Colab
- RTX 4090 GPU, offered on vast.ai
- Any A100 GPU, offered on vast.ai

- GTX 1050 Ti
- RTX 2070
- T4 GPU (free on [Google Colab](https://colab.research.google.com/))
- RTX 4090 (on vast.ai)
- A100 80GB (on vast.ai)
- H100SXM 80GB (on vast.ai)

Performance (comparisons/s) is proportional to the peak GPU bandwidth (GB/s).

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