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Commit History
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Condense multi-line notebook comments; re-run to refresh output
44dae2c -
Disclose recommendation-diversity finding and AMD calibration-set shortfall
df300c9 -
Add API request-id tracing, rate limiting, and response provenance
9f8362f -
More cleanup
4d1a589
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Close power-efficiency Pareto gap, add training-data disclosure, harden data lineage, cut Docker image 84%
Pareto recommender now ranks on (throughput, price, watts) with a user-selectable ranking objective (tokens/$, tokens/sec, tokens/watt, lowest cost per million tokens) instead of a fixed cost-efficiency sort. Adds a 3-state training-data-tier disclosure (none/below_floor/sufficient) so under-floor AMD GPUs are no longer reported identically to well-covered ones. Adds sMAPE/median APE alongside MAPE, a data manifest pinning MLPerf/calibration source snapshots, corpus SHA-256 + validation-metrics sidecar fields for model lineage, a roofline-vs-GBDT-vs-hybrid ablation validating the core architecture, and a real top-1 recommendation benchmark. Removes an unused 303 MB transitive CUDA dependency and unused ML libraries, shrinking the production Docker image from 2.88 GB to 452 MB. 55 reliability gates, 466 tests.3c35b12
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GPU Perf Prophet v1 — cross-vendor GPU performance forecasting & recommendation engine
Roofline-physics + XGBoost efficiency-gap model predicting inference throughput across AMD Instinct and NVIDIA GPUs from MLPerf Inference v4.1-v6.0 data plus self-run AMD Dev Cloud MI300X calibration, served via FastAPI + Streamlit and deployed to Hugging Face Spaces.a4508e8