diff --git a/GPU-Cluster Requirements.md b/GPU-Cluster Requirements.md
index 978348bf09140b2b60fdbd387ece1421f307cc51..a17b033f3b74bfdf21713166f9bee048b6a22d75 100644
--- a/GPU-Cluster Requirements.md	
+++ b/GPU-Cluster Requirements.md	
@@ -22,6 +22,7 @@ Desktop GPUs like the RTX2080 are SingePrecision cards, where professional ones
 
 # Requirements
 
-Section | Project Description | Hardware Requirements | Software Requirements
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+Section | Project Description | Hardware Requirements | Software Requirements | Comments
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+copy | paste | this | line | !
+2.4 | Deep learning for fast magnitude estimation of earthquakes | Single precision GPU with > 10 GB GPU memory, at least 200 GB main memory, 8 CPU cores | up to date nvidia driver, the rest works fine with conda (cuda, tensorflow, pytorch) | I fear that 2 CPUs for 8 GPUs might be to less. The machine I'm currently running on has two Xeon Gold 5122 and four RTX 2080 Ti and is CPU bound.