Managed Maintenance & Support
AI systems drift: models get outdated, drivers and runtimes move, usage grows, quality regresses quietly. Our maintenance plans keep your stack current, monitored, and improving — with a defined response path when something breaks.
What we deliver
- Scheduled maintenance windows for runtime, driver, and OS updates
- Model refresh reviews: evaluate newer open-weight releases against your benchmarks before upgrading
- Continuous monitoring of uptime, latency, throughput, and output quality signals
- Incident response with defined SLAs and root-cause writeups
- Quarterly capacity and cost reviews as your usage scales
Common questions
Why does AI infrastructure need ongoing maintenance?
The open-model ecosystem moves monthly, GPU drivers and inference runtimes update constantly, and silent regressions (worse answers after an upgrade, growing latency under load) are common. Without active management, systems decay even when nothing visibly "breaks."
Do you offer remote monitoring for on-prem systems?
Yes — lightweight, privacy-respecting monitoring that reports health metrics without ever shipping your prompts or documents off-site. You choose exactly what telemetry leaves the building.
Can you take over maintenance of a system someone else built?
Usually, yes. We start with an infrastructure audit documenting what exists, its risks, and a prioritized remediation plan — then maintain it going forward.