Products / Managed AI Infrastructure
ARC operates the fleet. You run the models.
ARC takes on day-to-day operation of your GPU environment: monitoring, maintenance, failure recovery, upgrades, and expansion. Your team keeps ownership of models, data, and priorities.
- Scope
- Compute, networking, storage, scheduler
- Applies to
- Clusters ARC builds and environments you already run
- Model
- Shared responsibility, agreed in writing
- Extends to
- Management across multiple clusters
Why managed
GPU clusters need constant attention.
At scale, hardware fails, firmware drifts, and network issues appear without warning. Every hour an ML engineer spends chasing a bad node is an hour away from model work.
Managed AI Infrastructure is about who operates the environment, not who else shares it. It applies to dedicated clusters and to environments your team already runs.
What we manage
Cluster operations, and management across clusters.
Operating one cluster well is the foundation. Managing several adds shared standards, planned expansion, and a single view of capacity.
Cluster operations
Health and maintenance
Daily health checks, maintenance windows, and escalation across compute, networking, and storage.
Observability
Hardware, network, storage, scheduler, and job signals in one view, so faults are isolated quickly.
Lifecycle and recovery
Configuration baselines, firmware and software updates, component replacement, and validated return to service.
Multi-cluster management
Expansion
New capacity added to the same standards, so the environment stays consistent as it grows.
Consistent operations
One set of runbooks, baselines, and standards across clusters, sites, and delivery partners.
Reporting and planning
Operational reporting and capacity input that connect today’s usage to the next expansion.
How we operate
Diagnose first. Then act.
Every intervention follows the same loop, so changes stay controlled and each fix is verified before the system returns to service.
Shared responsibility
Know exactly who owns what.
| ARC operates | Your team owns |
|---|---|
| Infrastructure, scheduler, and runtime systems in scope | Applications, models, data, and business priorities |
| Monitoring, maintenance, incident response, reporting | User access, approvals, and release decisions |
| Capacity planning and expansion engineering | Demand forecasts, requirements, and acceptance criteria |
Support coverage and response commitments are defined in each service agreement.
Put one team in charge of operations.
Tell us about your fleet, your current practices, and what you’d like ARC to take on.
or email contact@arccloudai.com