public-safe Runpod GPU server snapshot after initial setup
TL;DR
This is a public-safe, one-time server snapshot collected from inside the current Runpod GPU server after initial setup. It records automatically verifiable hardware, storage, OS, CUDA, Python, PyTorch, and key ML package information. Pricing, billing metadata, region, template name, SSH details, public IP addresses, credentials, project repositories, checkpoints, datasets, and experiment results are intentionally excluded.
Generation Metadata
Item
Value
Generated at UTC
2026-06-12T23:41:24Z
Generated at local time
2026-06-12T23:41:24+00:00
Manifest version
public-server-manifest-v1
Snapshot note
One-time server snapshot created after initial Runpod setup.
Hardware Summary
Item
Value
Source
GPU count
1
auto-detected
GPU model
NVIDIA A100-SXM4-80GB
auto-detected
VRAM per GPU
80.0 GiB (81920 MiB)
auto-detected
NVIDIA Driver
570.124.06
auto-detected
CUDA Version from nvidia-smi
12.8
auto-detected
CPU model
AMD EPYC 7343 16-Core Processor
auto-detected
vCPU count
64
auto-detected
System RAM
503Gi
auto-detected
/workspace storage
2.1P
auto-detected
GPU Details
GPU
Model
VRAM
Driver
CUDA from nvidia-smi
Power Limit
PCI Bus ID
0
NVIDIA A100-SXM4-80GB
80.0 GiB (81920 MiB)
570.124.06
12.8
500.0 W
00000000:C1:00.0
CPU Details
Item
Value
Architecture
x86_64
CPU model
AMD EPYC 7343 16-Core Processor
vCPU count
64
Sockets
2
Cores per socket
16
Threads per core
2
CPU max MHz
3940.6250
Memory
Item
Value
Total RAM
503Gi
Used RAM
26Gi
Available RAM
464Gi
Storage
Mount
Size
Used
Available
Use%
Filesystem
/
80G
1.5G
79G
2%
overlay
/workspace
2.1P
1.4P
736T
66%
fuse
/dev/shm
58G
0
58G
0%
tmpfs
Operating System
Item
Value
OS
Ubuntu 22.04.5 LTS
OS ID
ubuntu
OS version
22.04
Kernel release
6.8.0-52-generic
Machine architecture
x86_64
Python Environment
Item
Value
Python
3.11.10
Python executable
/usr/bin/python
pip
24.2
CUDA / PyTorch Runtime
Item
Value
PyTorch
2.4.1+cu124
CUDA available in PyTorch
True
PyTorch CUDA version
12.4
cuDNN
90100
PyTorch CUDA device count
1
NVCC
release 12.4, build 12.4.131
PyTorch CUDA Devices
Device
Name
Total Memory
Compute Capability
0
NVIDIA A100-SXM4-80GB
79.3 GiB
8.0
Key Package Versions
Package
Version
torch
2.4.1+cu124
torchvision
0.19.1+cu124
torchaudio
2.4.1+cu124
numpy
1.26.3
scipy
not installed
pandas
not installed
matplotlib
not installed
opencv / cv2
not installed
diffusers
not installed
transformers
not installed
accelerate
not installed
tokenizers
not installed
einops
not installed
flash_attn
not installed
huggingface_hub
not installed
safetensors
not installed
xformers
not installed
Publication Notes
This manifest includes only information automatically detected from inside the server/container.
This manifest is intended to be safe for public blog publication.
Pricing, billing type, region, data center, template name, public IP address, SSH port, credentials, API tokens, project repositories, checkpoints, datasets, and experiment results are intentionally excluded.
Project-specific reproducibility metadata should be documented separately in each project report.
