Update README.md

README.md

@@ -234,11 +234,11 @@ 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>
@@ -311,6 +311,9 @@ 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)
 
@@ -329,11 +332,11 @@ 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">
@@ -404,4 +407,10 @@ The following performance benchmarks were conducted with [vLLM](https://docs.vll
       <td>6777</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).