diff --git a/06_gpu_and_ml/llm-serving/trtllm_llama.py b/06_gpu_and_ml/llm-serving/trtllm_llama.py
index add12a5bf..571902e0f 100644
--- a/06_gpu_and_ml/llm-serving/trtllm_llama.py
+++ b/06_gpu_and_ml/llm-serving/trtllm_llama.py
@@ -151,7 +151,7 @@ def download_model():
 # NVIDIA's Ada Lovelace/Hopper chips, like the 4090, L40S, and H100,
 # are capable of native calculations in 8bit floating point numbers, so we choose that as our quantization format (`qformat`).
 # These GPUs are capable of twice as many floating point operations per second in 8bit as in 16bit --
-# about a trillion per second on an H100.
+# about two quadrillion per second on an H100 SXM.
 
 N_GPUS = 1  # Heads up: this example has not yet been tested with multiple GPUs
 GPU_CONFIG = modal.gpu.H100(count=N_GPUS)