Start with the decision and its evidence
An infrastructure proposal needs to explain which work the system must complete, under which conditions, and what evidence would justify the investment. A GPU count cannot answer those questions alone. Record the task mix, accepted-output definition, latency targets, reserved headroom, power boundary and financial constraints. Identify an owner and source date for each input. In our proposed assessment method, an observed measurement, an operator declaration and a model estimate remain separate evidence classes. A blank field remains unresolved; it does not become a favorable assumption.
Keep inference capacity conditional on the workload
A sustained-load capacity estimate can compare required accepted tasks with measured throughput per serving replica, allowing explicit headroom. That arithmetic still needs evidence that the model fits, the topology works and difficult requests meet the quality target. Queueing, outages, retries and recovery deserve separate tests. Data Center AGI Inference connects these questions with memory, state, serving, facility and economic scenarios. The useful output is a bounded comparison and a measurement plan. Toolkit regression tests establish calculator and workflow behavior; they do not establish customer throughput or realized savings.
Treat cryptography as an operating dependency
NIST’s migration guidance separates cryptographic visibility and risk management from interoperability and benchmarking. That distinction is useful for an infrastructure program. Review the available records for protocols, libraries, certificates, supplier boundaries and the data they protect, without collecting private key material. Then ask which dependencies have an accountable owner and which still lack evidence. Post-Quantum Readiness organizes declared inventory evidence, relevant policy scope and migration assumptions. The current toolkit does not discover cryptography automatically, generate a scanned inventory or test the organization’s TLS estate.
An algorithm standard is one part of the architecture
NIST FIPS 203 specifies ML-KEM for establishing shared secret keys. FIPS 204 and FIPS 205 specify ML-DSA and SLH-DSA for digital signatures. These are different roles in a system. Naming a supported algorithm does not demonstrate a negotiated connection, a compatible certificate path or an accepted application transaction. NIST’s crypto-agility guidance considers adaptation across software, hardware and infrastructure while preserving operations. Our engineering recommendation is to make those dependencies, change authority and recovery tests explicit before selecting a rollout sequence.
Turn findings into gates a reviewer can challenge
Infrastructure Feasibility & Architecture joins assessment findings to declared future requirements and produces conditional design decisions. Each gate should name its inputs, constraints, evidence gaps and acceptance owner. Compare a proposed migration schedule with the particular policy scope selected by the customer; one date cannot stand for every organization. Keep capital, operating cost, capacity and delivery assumptions traceable to their sources. If a quantum solver experiment is considered, give it a separate classical baseline, verifier, full-cost boundary and fallback. A research scenario contributes no automatic inference-capacity credit.
Make the next engagement measurable
A useful first scope is one workload and one infrastructure boundary, with a named security dependency where relevant. Deliver the input manifest, missing-evidence register, scenario comparison and a phased acceptance plan. A subsequent pilot should test equivalent task quality, latency, interoperability and recovery before a production change is approved. AssetSolve’s initial assessment is free; later delivery follows an agreed proposal. The decision package makes the remaining work visible. It does not certify compliance, promise a migration date or turn unmeasured scenarios into operational results.