choice stringlengths 8 58 | picked stringlengths 17 81 | why stringlengths 41 129 |
|---|---|---|
Frontier reasoning model | GLM 5.3 open weights at FP8, self-hosted | Strongest open agentic model; the bespoke license exempts purely internal use from the model-as-a-service security-review trigger |
Detector | RF-DETR, Apache-2.0 Nano to Large checkpoints, BF16 | The practical sovereign answer to the AGPL gate; Plus XL and 2XL excluded from the serving path |
Forecaster | Chronos-2, Apache-2.0, about 0.48 GB at 32 bit | Zero-shot multivariate forecasting with no field-of-use restriction; weights may be held, fine tuned and redistributed |
Embeddings | BGE-M3, MIT, FP16 | Dense plus sparse plus multi-vector retrieval in one pass with an 8,192-token window |
Document parsing | PaddleOCR-VL 1.6, Apache-2.0, about 0.9B parameters, BF16 | Strong on degraded multilingual scans; no user or revenue threshold; fine tuning permitted |
Tracking | Roboflow trackers, Apache-2.0 | Stable identity across frames without reintroducing copyleft after an Apache detector |
Frontier node class | One node of 8 x 141 GB HBM GPUs (H200 class) | 1,128 GB holds the 904 GB FP8 footprint with KV cache headroom |
Edge compute class | The operator's NPU/GPU accelerators, sized from measured stream and decode load | Sizing is stated as a requirement and verified at the phase-one survey |
Cameras reused subject to ONVIF reuse gates | The existing Vision AI IP camera estate, stream evidence, with gaps priced as new | Reuse on measured density, angle and class purchases |
Time synchronization holdover, driving linuxptp and chrony | OCP Time Card GNSS grandmaster with cameras and process tags | One defensible chronology across detectors, |
Edge orchestration disconnected install | Red Hat OpenShift AI self-managed, model serving, registry, pipelines and | Documented disconnected procedure for workbenches |
Serving runtimes node | KServe at the edge, vLLM on the central | Model serving matched to each tier's load |
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