A vendor-neutral scoring matrix for choosing edge-AI inference hardware and vendors — TOPS/W, P99 latency, ONNX/TensorRT-class format support, on-prem/sovereign deployment, toolchain maturity, functional-safety support, power/thermal envelope, and long-term support — with a weighted 1–5 rubric.
This is a vendor-neutral template: a set of evaluation criteria and a scoring rubric — not a ranked list of vendors and not an endorsement of any product. We name no winners; you score your own shortlist against your own requirements.
Set each criterion's weight (1–5) for your use case, score each candidate (1–5) against the same rubric, and multiply. The discipline that matters most: measure on your own model and workload, not on the vendor's reference numbers.
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We help teams benchmark candidate platforms on their own models and workloads, weight the criteria for their constraints, and make a defensible, sovereignty-aware choice.