Update

app.py

@@ -3,6 +3,28 @@ import streamlit as st
 
 st.title("GCP Resource Alloctor")
 
+st.subheader("Readme")
+
+st.write("Compute Engine provides NVIDIA GPUs for your VMs in passthrough mode so that your VMs have direct control over the GPUs and their associated memory.")
+st.write("* To run NVIDIA H100 80GB GPUs, you must use an A3 accelerator-optimized machine type.")
+st.write("* To run NVIDIA A100 GPUs, you must use the A2 accelerator-optimized machine type.")
+st.write("* To run NVIDIA L4 GPUs, you must use a G2 accelerator-optimized machine type.")
+st.write("* Each A3/A2/G2 machine type has a fixed GPU count, vCPU count, and memory size.")
+
+st.markdown("""
+    | GPU       | Memory                    | FP64      | FP32      | Price     | Interconnect                  | Best used for |
+    | --------- | ------------------------- | --------- | ----------| --------- | ----------------------------- | ------------- |
+    | H100 80GB | 80 GB HBM3 @ 3.35 TBps    | 34        | 67        | 12.11     | NVLink Full Mesh @ 900 GBps   | Large models with massive data tables for ML Training, Inference, HPC, BERT, DLRM |
+    | A100 80GB | 80 GB HBM2e @ 1.9 TBps    | 9.7       | 19.5      | 2.61      | NVLink Full Mesh @ 600 GBps   | Large models with massive data tables for ML Training, Inference, HPC, BERT, DLRM |
+    | A100 40GB | 40 GB HBM2 @ 1.6 TBps     | 9.7       | 19.5      | 1.67      | NVLink Full Mesh @ 600 GBps   | ML Training, Inference, HPC |
+    | L4        | 24 GB GDDR6 @ 300 GBps    | 0.5       | 30.3      | 0.28      | N/A                           | ML Inference, Training, Remote Visualization Workstations, Video Transcoding, HPC |
+    | T4        | 16 GB GDDR6 @ 320 GBps    | 0.25      | 8.1       | 0.15      | N/A                           | ML Inference, Training, Remote Visualization Workstations, Video Transcoding |
+    | V100      | 16 GB HBM2 @ 900 GBps     | 7.8       | 15.7      | 0.99      | NVLink Ring @ 300 GBps        | ML Training, Inference, HPC |
+    | P4        | 8 GB GDDR5 @ 192 GBps     | 0.2       | 5.5       | 0.30      | N/A                           | Remote Visualization Workstations, ML Inference, and Video Transcoding |
+    | P100      | 16 GB HBM2 @ 732 GBps     | 4.7       | 9.3       | 0.58      | N/A                           | ML Training, Inference, HPC, Remote Visualization Workstations |
+""")
+
+        
 st.subheader("Configuration")
 
 # GPU Type
@@ -119,9 +141,9 @@ ssd_disk_price = serivces_mapping['SSD'] * ssd_disk_size
 duration_total_price = core_price + memory_price + gpu_price + balanced_disk_price + ssd_disk_price
 total_price = duration_total_price * hours
 
-st.divider()
 
 st.subheader("Hourly estimate")
+
 st.write(f"Core: SGD :blue[{core_price:.3f}]")
 st.write(f"Memory: SGD :blue[{memory_price:.3f}]")
 st.write(f"GPU: SGD :blue[{gpu_price:.3f}]")