SilkRouter
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Procurement review
Good review pages should help readers avoid bad timing, vague ownership, and hidden operating cost. These checks are written for buyers who already like a product but need one more hard look.
Do not buy yet
Risk: Costs rise while simple extraction, summaries, and support replies get no meaningful quality gain.
Ask: Which prompt classes actually need premium reasoning, and which can be routed to a fast model?
Pause rollout until prompts are tagged by risk and a routing test shows solved-task economics.Risk: Automation becomes hard to audit once it touches customer work, code review, or operational workflows.
Ask: Can an owner reconstruct what input, prompt, model, reviewer, and output produced a decision?
Use it only for low-risk internal drafts until audit logs and approval states exist.Risk: Useful personal memory can turn into uncontrolled company memory with unclear retention.
Ask: How do we export, delete, transfer, and legally hold the data after a user leaves?
Pilot personally, but do not approve team memory until governance checks pass.Risk: Short benchmarks hide fan noise, throttling, battery drain, and upgrade limits under sustained work.
Ask: What happens during a full compile, video call, external display, and local model burst in the same day?
Buy it for mobility only; choose a workstation or cloud capacity for sustained GPU work.Risk: Peak throughput is irrelevant if context, batch size, or model fit fails.
Ask: Do the exact models, quantization level, and context length fit with memory headroom?
Wait, rent, or buy a higher-memory tier instead of optimizing for headline benchmark speed.Risk: The hardware can be cheap while operations, downtime, and facility mismatch become expensive.
Ask: Where will it live, who services it, what circuit supports it, and how is it managed remotely?
Treat the purchase as incomplete until operations signs off on the full ownership path.Ownership cost
Directional planning only. Replace the placeholder cloud GPU rate and monthly burden with your quotes before approving budget.
Keep the best reasoning model as an escalation lane and route summaries, labels, extraction, and drafts to faster models.
If nobody owns evals or routing rules, lower unit prices can still increase total spend.Rent first for bursty work; buy when the workload repeats enough that local iteration saves time every week.
The card becomes expensive fast if it is used like a production server or sits idle between experiments.Do not buy the rack until a workstation, cloud pilot, and operations checklist all point to local ownership.
A cheap quote without power, airflow, remote console, and spare strategy is not a real quote.Buying assistant
Start with what must improve: code quality, meeting recall, local inference, mobile work, or rack throughput.
Look for the limit that changes the answer: latency, VRAM, thermals, admin controls, exports, power, or service access.
Every recommendation should have a clear alternative, because the right answer changes with workload and operating cost.
AI services, BIOS updates, drivers, prices, and admin controls move fast enough that static advice gets stale.