Transparent energy and usage accounting
Separate energy sources, storage movement, compute delivery, savings, revenue, and estimated allocations.
Capacitas solution
Match eligible workloads to qualified capacity, energy availability, battery limits, operating cost, and service commitments using measured inputs.
Solution architecture
Separate energy sources, storage movement, compute delivery, savings, revenue, and estimated allocations.
A federation scheduler never overrides electrical protection, thermal controls, battery limits, or emergency shutdown.
Data movement, deadlines, hardware, licenses, restart cost, and service commitments remain binding constraints.
Compare local, availability-based, energy-aware, and storage-coordinated operation using the same workloads and conditions.
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Coordinate eligible workloads with site power envelopes, battery limits, local energy state, deadlines, and customer economics.
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Coordinate distributed CPU, GPU, accelerator, storage, and network capacity as one governed service without pretending every node is identical.
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Highest-control deployment units where Capacitas controls the facility and hardware through ownership or equivalent durable operating rights.
ExploreNext step
Define workload, data, users, models, performance, environments, evidence, support, and acquisition before pilot design.
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