A professional analyzing data at a dual-monitor workstation in a modern, well-lit office.

Workload clients

Your AI Workloads. Your Data Rules.

Continuity of Compute™ Platform.

Run on-site, or on qualified Nodes your policies allow. Your policies, not location alone, govern how your data is handled.

Compute Close to Your Work, Under Your Rules

Where does your client data go when your team asks AI a question? Each qualified facility adds compute close to the people and organizations that use it.

Professional-conduct rules, such as ABA Formal Opinion 512 (2024) on generative AI tools, discuss duties that include confidentiality. This is not legal advice, and EnerSync™ makes no compliance claim. Local deployment alone does not establish privacy, security, or regulatory compliance.

Work in Progress, Protected

Our Continuity of Compute™ Platform predicts threats to running workloads and coordinates authorized action to help protect their progress. When conditions change, EnerSync™ coordinates a protective response and verifies the result, so less work is interrupted or repeated.

Illustrative example

  1. Node A

    EnerSync™ predicts a cooling shortfall at Node A.

    Operating trends indicate that cooling may become insufficient to complete the workload.

  2. Node B

    EnerSync™ evaluates Node B for eligibility.

    Before the shortfall affects the work, it checks whether Node B is qualified and permitted for it.

  3. Node A → Node B

    It coordinates an authorized transfer.

    The workload moves to Node B within the rules set for it.

  4. Node B

    EnerSync™ verifies that the workload has resumed at Node B.

    The outcome is confirmed, not assumed.

Illustrative sequence, not a measured result. Facility controllers keep authority over their equipment.

Workload Types

Workload types we discuss include:

  • AI applications / inference
  • Document processing
  • Engineering / analysis
  • Model training / fine-tuning

Examples: an engineering firm’s overnight analysis for its next design review; legal and accounting teams running AI document processing at their own facility.

For an engineering overnight analysis, the sequence is assessment, a changing condition, a protective response, and a verified outcome. The supported recovery method determines how execution can continue elsewhere.

For professional-services document processing, the discussion covers required compute, interfaces, and data-handling policy.

End users of AI services can gain earlier access, with oversight of the resources supporting execution. Professional firms we have in mind include legal, accounting, engineering, medical, insurance, and local government.

Workload clients receive a use case and a guided demonstration.

Describe a Workload

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