MagyarData center / HPC
Modern data center operations have become far more complex than simply managing servers and infrastructure.
Compute, storage, networking, energy, and workload layers operate in continuous interaction, where even a small local deviation can generate complex operational waves and coordination instability across the system.
AVA-Stabilis observer-only operational analysis pilots focus on understanding the operational dynamics behind these environments.
We do not directly optimize infrastructure,
we do not intervene in runtime operations,
and we do not modify existing workflows.
Our goal is simpler: to make the behavior of the operation itself more understandable.
Our investigations may include the analysis of:
- – workload congestion formation
– backlog and latency wave propagation
– coordination losses
– hidden capacity losses
– scheduling and workflow instabilities
– energy and operational resonance patterns
– as well as the structural operational dynamics of complex systems
Our pilots are conducted using an observer-only methodology read-only connectivity:
– minimal and controlled data requirements
– anonymized and aggregated operational signals
– no operational intervention
– no service disruption risk
The anonymized investigation reports presented on this page represent observer-only operational-analysis pilots and modeled investigation examples created for various infrastructure and operational environments.
Their purpose is to help prospective partners understand: how AVA-Stabilis approaches complex operational-system analysis, what types of operational patterns and synchronization behaviors are investigated, and which operational-analysis and synchronization-modeling methodologies are exploredacross different real-world infrastructure environments.
The published materials are: anonymized, partially modeled, and demonstration-oriented operational-analysis examples designed to illustrate the research and analytical directions of the platform.
Pilot reports:
2. AI / Ml training workload, PDF
4. Multi-tenant research workload, PDF
5. HTC operational environment, PDF
6. Data-intensive workload, PDF
7. Heterogeneous cluster (CPU+GPU+specialited nodes), PDF
8. Energy- and cooling aware operation, PDF
9. Scheduler / policy dominated system, PDF
10. Maintenance and operator operations, PDF
11. Peak / burst operation (deadline-driven HPC), PDF
12. Cloud-HPC hybrid operation, PDF