Hand the 24/7 toil to an ops team that lives in the rack
From facility-level monitoring to network operations and incident response, our managed-ops service runs your AI compute center end-to-end — so your engineers stay focused on models, not on pager rotations.
What we operate
Five pillars of day-to-day operations, covered under a single SLA.
Platform & facility monitoring
- Environmental walk-throughs: temperature, humidity, power
- Hardware health status and component-level telemetry
- Device log and alert-stream triage
- Connectivity and business-function synthetic checks
- CPU / GPU / memory utilization tracking
- Storage-array and capacity monitoring
Security management
- Rotation of device credentials on defined cadences
- System clock and NTP alignment across the fleet
- Access review and privilege audits
- Change-control tickets with full audit trail
Facility hygiene
- Data-hall cleaning and dust control
- Hardware chassis cleaning on scheduled cycles
- Cable management and labelling reviews
- Fire-suppression and sensor checks
Incident readiness
- Runbook maintenance and periodic updates
- Tabletop exercises and failover drills
- Disaster-recovery switchover rehearsals
- Post-incident reviews with action items tracked
Network operations
- Link, port, and traffic monitoring
- Network device performance baselining
- Config backup and credential rotation
- HA pair / active-active failover testing
Tiered service strategy
- Criticality-based inspection cadences
- Heightened monitoring for core workloads
- Streamlined coverage for non-core services
- Per-tenant SLA dashboards
Why teams hand ops to ApeTops
How engagements work
A short onboarding phase, a steady-state operations phase, and a regular improvement loop.
1. Discovery & runbook build
We audit your environment, document critical workloads, and build a runbook with your engineering leads. Typically two to three weeks.
2. Steady-state operations
Our NOC takes first response, our engineers handle triage and remediation, and your team gets out of the pager rotation.
3. Continuous improvement
Monthly service reviews, quarterly DR drills, and action-item tracking keep the runbook tight as your stack evolves.
Ready to stop running ops?
Tell us the facility, fleet size, and workload profile — we'll come back within two business days with a staffing plan, runbook outline, and pricing.
Other services
High-Performance Compute
Elite GPU horsepower for large-scale model training.
Inference Compute
Cost-efficient GPUs tuned for production inference.
Server Colocation
Host your own GPU servers in our Tier 3+ facilities.
GPU Repair & Maintenance
Keep your accelerators alive and under warranty.
Private Network
Dedicated point-to-point connectivity for secure workloads.
Cluster Networking
InfiniBand and RoCE fabrics for training clusters.
Hardware & Appliances
Ready-to-deploy GPU servers and turnkey appliances.