AI and HPC Campuses
Operate the campus and the cluster as one accountable service.
High-density AI and HPC campuses couple facility power and cooling to GPU, fabric and storage behavior. PrecisionDCOS makes the facility-to-cluster relationship observable, operable and recoverable without pretending one controller owns every function.
Why this environment is different
The operating characteristics that shape how the platform is deployed and run here.
One accountable operating contract
High-density AI and HPC campuses couple facility power and cooling to GPU, fabric and storage behavior. PrecisionDCOS makes the facility-to-cluster relationship observable, operable and recoverable without pretending one controller owns every function.
Operating priorities
What the platform is optimized to guarantee 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.
Focus areas
The systems and disciplines the platform brings under one governed contract for this environment.
- High rack density and liquid cooling
- GPU / BMC / DPU / fabric / storage monitoring
- InfiniBand and Ethernet fabrics
- Carrier waves and remote hubs
- Customer management access
- Independent OOB and recovery
- Capacity and dependency modeling
- Facility-to-cluster impact correlation
- AI-ready governed data
- Managed 24/7 operations
Recommended modules
A typical starting composition for this environment. Every engagement is scoped to the actual estate.
Scope a ai and hpc campuses engagement
Bring your estate, standards and residency constraints. We map them to a deployment model, module set and operating contract.