01
Proxmox cluster
The virtualization layer for educational and research services, isolated environments, GPU nodes and rapid virtual machine deployment.
25 servers with virtual machines
Infrastruktura AI
Zasoby obliczeniowe
Klaster laboratorium łączy wirtualizację, infrastrukturę kontenerową, serwery GPU do inferencji oraz węzły do obliczeń równoległych i rozproszonych.
Server-room infrastructure of the LNU AI laboratory: virtualization, GPU inference nodes and cluster services for education and research.
02
Rocks Cluster
A dedicated cluster for parallel and distributed computing, simulations, batch data processing and educational HPC practice.
8 nodes for HPC workloads
03
Kubernetes
Container orchestration for laboratory services, experimental APIs, educational environments and scalable applied systems.
service and API orchestration
04
Docker ecosystem
A consistent approach to reproducible environments: containers for Python, ML stacks, databases, queues, web services and student projects.
reproducible environments
05
AI inference servers
GPU servers for computer vision, NLP, generative AI and applied inference scenarios in education and research.
10 standalone inference servers
Infrastructure map
Cluster topology
A compact operational view of virtualization, GPU inference, HPC nodes and container services in the laboratory infrastructure.
Infrastruktura AI 43 węzły
Proxmox 25 serwerów
Inferencja AI 10 osobnych serwerów
Rocks 8 węzłów HPC
Kubernetes service orchestration
Cluster resources
Resource monitoring
25 Proxmox servers
virtualization, student VMs, GPU nodes
8 Rocks nodes
parallel and distributed computing
10 Inference servers
standalone servers for AI model serving
198 CPU cores
rounded total compute capacity
490 GB RAM
approximate total memory capacity
1% CPU
198 cores
total CPU capacity41% Memory
201 GB / 490 GB
used16% Storage
895.77 GiB / 5.34 TiB
usedProxmox
25 onlinepxm-01 online
GPU inference
CPU + GPU
18 VM 42%
RTX 3080 Ti
pxm-02 online
GPU training
CPU + GPU
14 VM 57%
2x RTX 3080
pxm-03 online
Virtualization
CPU
12 VM 34%
pxm-04 online
Legacy GPU
CPU + GPU
9 VM 36%
GTX 1080 Ti
pxm-05 online
Virtualization
CPU
16 VM 31%
pxm-06 online
Virtualization
CPU
11 VM 28%
pxm-07 online
Virtualization
CPU
13 VM 33%
pxm-08 online
Virtualization
CPU
10 VM 21%
pxm-09 online
Virtualization
CPU
15 VM 39%
pxm-10 online
Virtualization
CPU
8 VM 18%
pxm-11 online
Virtualization
CPU
12 VM 25%
pxm-12 online
Virtualization
CPU
17 VM 44%
pxm-13 online
Virtualization
CPU
7 VM 19%
pxm-14 online
Virtualization
CPU
10 VM 23%
pxm-15 online
Virtualization
CPU
9 VM 20%
pxm-16 online
Virtualization
CPU
3 VM 27%
pxm-17 online
Virtualization
CPU
2 VM 30%
pxm-18 online
Virtualization
CPU
1 VM 16%
pxm-19 online
Virtualization
CPU
3 VM 35%
pxm-20 online
Virtualization
CPU
0 VM 14%
pxm-21 online
Virtualization
CPU
2 VM 29%
pxm-22 online
Virtualization
CPU
1 VM 22%
pxm-23 online
Virtualization
CPU
3 VM 26%
pxm-24 online
Virtualization
CPU
0 VM 17%
pxm-25 online
Virtualization
CPU
2 VM 24%
Rocks Cluster
8 onlinerocks-01 Head node
rocks-02 Compute node
rocks-03 Compute node
rocks-04 Compute node
rocks-05 Compute node
rocks-06 Compute node
rocks-07 Compute node
rocks-08 Compute node
Inferencja AI
10 onlineinf-01 AI inference
inf-02 Model API
inf-03 Computer vision
inf-04 NLP inference
inf-05 Batch inference
inf-06 Student workloads
inf-07 Demo services
inf-08 GPU services
inf-09 Data services
inf-10 Reserve inference