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For: Founders and operators running self-hosted or private AI workloads who need a factual starting point before expanding inference, GPU, or customer-facing services.
Teams lack a clear record of accelerator ownership, runtime compatibility, data-handling boundaries, and the highest-risk operational gaps.
A fixed-scope review kit and operator-led assessment: intake, read-only evidence collection, architecture review, and a prioritized remediation roadmap with acceptance criteria.
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