The hardware team gets the GPUs in. The facility team keeps the cage secure. CyPCA operates everything after.
We turn installed infrastructure into capacity you can reliably sell to tenants through measurable service objectives, workload tuning, and power- and fabric-aware operations — taking you from installed rack to sellable capacity.
AI/HPC tuning
Operate GPU utilization, fabric health, HPC scheduling, and power- and cooling-aware placement as one performance system. The result is higher useful throughput and a cost curve the infrastructure can sustain.
Performance that serves real workloads
SLO architecture
Define error budgets, failure domains, and what “down” means for an inference endpoint. Replace vague uptime promises with service objectives that can be operated, proven, and sold.
Service objectives backed by operating discipline
Standing operations
Run the operating cadence behind reliability: observability, escalation, incident response, capacity planning, and continuous tuning. Reliability remains an active capability after bring-up.
Placement and tuning that protect economics
Data & inference control
Establish workload isolation, access boundaries, and evidence for tenant data handling. Governance becomes part of the operating layer rather than a policy document detached from the cluster.
Tenant isolation and auditable operations
Higher GPU utilization
Visible health and saturation
Provable inference SLOs
Lower cost per useful unit
Managed and transferable. CyPCA runs the operating model by default with runbooks, escalation, and SLO dashboards your team can use. If you choose to self-operate, the model transfers with the capability intact: operating knowledge, not a black box.
