Update README.md

README.md

@@ -233,11 +233,11 @@ The following performance benchmarks were conducted with [vLLM](https://docs.vll
       <th>Model</th>
       <th>Average Cost Reduction</th>
       <th>Latency (s)</th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
       <th>Latency (s)th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
       <th>Latency (s)</th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
     </tr>
   </thead>
   <tbody style="text-align: center">
@@ -337,7 +337,9 @@ The following performance benchmarks were conducted with [vLLM](https://docs.vll
   </tbody>
 </table>
  
+**Use case profiles: Image Size (WxH) / prompt tokens / generation tokens
 
+**QPD: Queries per dollar, based on on-demand cost at [Lambda Labs](https://lambdalabs.com/service/gpu-cloud) (observed on 2/18/2025).
 
 ### Multi-stream asynchronous performance (measured with vLLM version 0.7.2)
 
@@ -356,11 +358,11 @@ The following performance benchmarks were conducted with [vLLM](https://docs.vll
       <th>Model</th>
       <th>Average Cost Reduction</th>
       <th>Maximum throughput (QPS)</th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
       <th>Maximum throughput (QPS)</th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
       <th>Maximum throughput (QPS)</th>
-      <th>QPD</th>
+      <th>Queries Per Dollar</th>
     </tr>
   </thead>
   <tbody style="text-align: center">
@@ -458,4 +460,10 @@ The following performance benchmarks were conducted with [vLLM](https://docs.vll
       <td>4838</td>
     </tr>
   </tbody>
-</table>
+</table>
+
+**Use case profiles: Image Size (WxH) / prompt tokens / generation tokens
+
+**QPS: Queries per second.
+
+**QPD: Queries per dollar, based on on-demand cost at [Lambda Labs](https://lambdalabs.com/service/gpu-cloud) (observed on 2/18/2025).