IC3 Servers
Servers
Introduction
Currently, there are three servers purchased and deployed for IC3 Team.
Each of them has its own usage and plans. Please click on the below links to get familar with each server and the pipelins deployed on the servers.
TestBed Server
The server is mainly applied for testing and educational purpose.
IP: 10.14.132.154 Domain: mysurgeryrisk.ahc.ufl.edu OS: Ubuntu 20.04.6 LTS
CPU: 32 cores Intel(R) Xeon(R) CPU E5-2640 v3 @ 2.60GHz
GPU: 4 cores NVIDIA GTX Titan X | CUDA version: 12.2
RAM: 125(GB) Storage: 8(TB) HDD 0.5(TB) SSD
In working now
Data Server
The server is mainly applied for small data processing pipelines and storage.
IP: 10.14.134.118 Domain: mysurgeryrisk-data.ahc.ufl.edu OS: CentOS Linux release 7.9.2009 (Core)
CPU: 32 cores Intel(R) Xeon(R) Silver 4208 CPU @ 2.10GHz
GPU: N/A cores | CUDA version: N/A
RAM: 376(GB) Storage: 72(TB) HDD 4(TB) SSD
In working now
Production Server
The server is used for production.
Data pipelines, modeal training and background service are mostly deployed here.
IP: 10.14.134.116 Domain: mysurgeryrisk-prod.ahc.ufl.edu OS: Ubuntu 18.04.6 LTS
CPU: 72 cores Intel(R) Xeon(R) Gold 6240 CPU @ 2.60GHz
GPU: 4 cores NVIDIA Quadro RTX 6000 | CUDA version: 11.4
RAM: 763(GB) Storage: 0(TB) HDD 31.2(TB) SSD
In working now
How to access server
- Please ask your supervisor to get the access permission tutorial.
- Connect with UF Health VPN tutorial
- SSH to the server with your Gatorlink account
info
We are planning to deploy the Kubernetes within the servers.
Useful Linux commands
- Find CPU information:
lscpu - Find OS information:
lsb_release -a - Find CPU Model info:
cat /proc/cpuinfo | grep 'model name' | uniq - Find GPU information:
nvidia-smi -L - Find RAM information:
free -g -t -o - Find Disk information:
lsblk -d -o name,rota,size - List RAM usage in MB ascendingly:
ps aux | awk '{print $6/1024 " MB\t\t" $11}' | sort -nrota:1, HDD; rota:0, SSD