HPC & AI infrastructure that moves real metrics.
Design, tuning and troubleshooting for clusters where throughput, queue time and cost per job actually matter.
⚡ Shorter queue times
📊 Higher job throughput
💰 Lower cost per simulation
Typical outcomes
10–35%
Throughput gain on identical hardware
SLURM & scheduler tuning
Parallel file systems
GPU-heavy AI clusters
Recent work includes improving mixed CPU/GPU cluster utilization, stabilising Lustre-based scratch and reducing job wait times on multi-tenant environments.
What Performetrica focuses on
Specialised services instead of generic system administration.
Architecture & design
HPC and AI infrastructure designed from workloads backwards, not from hardware forwards.
CPU / GPU ratio · interconnect · storage tiersPerformance & scheduling
SLURM, MPI and I/O tuning so that existing hardware delivers more useful work per day.
NUMA · backfill · fairshare · profilingReliability & security
Parallel file systems, storage and OS hardening tuned for research environments.
Lustre · BeeGFS · ZFS · CIS hardeningSelected service areas
Each engagement can be standalone or combined into a larger program.