RunPod Network and Storage Analysis | Generated by AI

Home 2026.07

Analysis Summary

1. Where Was the Pod?

38.80.152.249 is in Rancho Cordova, California (near Sacramento):

Field Value
City Rancho Cordova, California
ISP Cogent Communications (AS174) — a major transit provider
Data center Likely a RunPod Secure Cloud facility in CA
Lat/Lng 38.5891, -121.3027

RunPod routes traffic through Cogent to their data center, then the IP is a NAT on their load balancer — not directly the GPU machine.

2. How RunPod Networking Works

RunPod has a layered architecture:

You (SSH) → RunPod Load Balancer → Docker Container (your pod)
                    ↓
             Internal:
          NFS Network Volume
          Global Networking (pod-to-pod)

SSH / TCP Access (what we used):

The pod itself runs in Docker:

Host machine (NVIDIA H200)
  └── Docker container
       ├── /          → 20G overlay (ephemeral OS)
       ├── /workspace → NFS volume (persistent, 280G in our case)
       └── root user

That’s why / was only 20G (ephemeral container disk) and /workspace was 280G (network volume).

Network Volume (persistent storage):

10.100.232.10:/runpodfs/networkvolumes/7tlpgx7y0n  280G  104G  176G  /workspace

Three storage tiers:

Type Location Persists across Lifetime
Container disk (/) Local SSD on host Nothing Ephemeral
Volume disk (/workspace) Local SSD on host Stop/start Until pod terminated
Network volume NFS cluster Everything Until deleted

You used a network volume (based on the NFS mount at 10.100.232.10) — that’s why your data survived the stop/restart.

Community Cloud vs Secure Cloud:

  Community Cloud Secure Cloud (yours)
GPU availability Shared, competitive Guaranteed
IP stability Changes on restart Stable IP
Data center access Anyone Controlled
Network volumes Yes Yes

Since you were on Secure Cloud, the IP 38.80.152.249 stayed the same, but the TCP port changed (3041630520) because the Docker container got a new identity on restart.

Global networking (optional): private pod-to-pod network via pod_id.runpod.internal — useful if running multiple pods that need to talk to each other, but not relevant for a single pod.


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