AI and HPC Campuses
Operate high-density AI and HPC infrastructure from facility source to cluster service.
PrecisionDCOS correlates power, cooling, environment, BMC, GPU, DPU, Ethernet, InfiniBand, optics, storage, scheduler and customer-service state while preserving separate facility, customer and OEM authority.
Why this environment is different
The operating characteristics that shape how the platform is deployed and run here.
One accountable operating contract
PrecisionDCOS correlates power, cooling, environment, BMC, GPU, DPU, Ethernet, InfiniBand, optics, storage, scheduler and customer-service state while preserving separate facility, customer and OEM authority.
Operating priorities
What the platform is designed to support in this environment.
Facility-to-cluster impact
Correlate a cooling or power event to the racks, fabric and jobs it actually affects so response is prioritized by impact.
Fabric and accelerator health
Monitor GPU, DPU, optics, InfiniBand and Ethernet fabrics alongside the facility that sustains them.
Independent recovery
Out-of-band paths reach BMCs, consoles and network gear when the primary path is impaired.
Typical starting architecture
A common composition for this environment. It is a starting point, not a fixed requirement — every engagement is scoped to the actual estate.
- PrecisionDCMS NX for facility and cluster-adjacent monitoring
- DCOS Network for the campus fabric plus independent out-of-band
- DCOS Connect for carrier waves and remote hubs
- DCOS Operations under CriticalOps Cloud for hosted identity and workflow
- DCOS Data Fabric for model-ready operational data
What remains customer- or OEM-controlled
Authority that stays outside the operating contract by design. PrecisionDCOS observes and coordinates within engineered boundaries — it does not assume control here.
- The GPU/accelerator scheduler and job orchestration
- Cluster fabric configuration and tenant workloads
- OEM firmware and warranty-reserved actions on compute
- Any customer-owned management network and identity
Deployment pattern
How the platform is physically and operationally deployed in this environment.
A campus deployment: NX nodes in the data hall, redundant site fabric, independent OOB, and carrier integration — accepted through FAT and SAT before the cluster depends on it.
Managed operations
How the environment is run once it is live, within the ordered service profile.
Customer-Led Support, Co-Managed Operations or Fully Managed Operations, with coverage up to 24/7 under the ordered service profile and per-severity response clocks.
Data and assurance
How operating data is governed and how evidence is maintained for this environment.
DCOS Data Fabric publishes governed, model-ready telemetry with quality states intact; DCOS Assurance links operating evidence to any compliance obligations the campus carries.
Typical starting modules
A common starting composition. No module is mandatory — each is scoped to the estate, and CriticalOps Cloud is included where hosted identity, portal or multi-site workflow is relevant.
Plan an AI/HPC campus operating architecture
Bring your estate, standards and residency constraints. We map them to a deployment model, module set and operating contract.