adding methodology

app.py

@@ -80,7 +80,17 @@ with gr.Blocks() as demo:
         "## Explore the data from 'When we pay for cloud compute, what are we really paying for?'"
     )
     with gr.Accordion("Methodology", open=False):
-        gr.Markdown("TODO")
+        gr.Markdown(
+            """
+            In order to do our analysis, we gathered data from 5 major cloud compute providers – Microsoft Azure, Amazon Web Services, Google Cloud Platform,
+            Scaleway Cloud, and OVH Cloud – about the price and nature of their AI-specific compute offerings (i.e. all instances that have GPUs).
+            For each instance, we looked at its characteristics – the type and number of GPUs and CPUs that it contains, as well as the quantity of memory
+            it contains and its storage capacity. For each CPU and GPU model, we looked up its **TDP (Thermal Design Potential)** -- its power consumption
+            under the maximum theoretical load), which is an indicator of the operating expenses required to power it. For GPUs specifically, we also looked
+            at the **Manufacturer's Suggested Retail Price (MSRP)**, i.e. how much that particular GPU model cost at the time of its launch, as an indicator
+            of the capital expenditure required for the compute provider to buy the GPUs to begin with.
+            """
+        )
     with gr.Row():
         gr.Markdown("## Energy Data")
     with gr.Row():