Add H100SXM benchmark

Author: tornikeo

README.md

@@ -50,10 +50,12 @@ For details, visit the [preprint](https://www.biorxiv.org/content/biorxiv/early/
 
 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:
 
-- 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)
 
 The `pytorch/pytorch:2.2.1-cuda12.1-cudnn8-devel` docker [image](https://hub.docker.com/layers/pytorch/pytorch/2.2.1-cuda12.1-cudnn8-devel/images/sha256-42204bca460bb77cbd524577618e1723ad474e5d77cc51f94037fffbc2c88c6f?context=explore) was used for development and testing.