SMARTML: DETERMINISTIC, CPU-FIRST ML BENCHMARKING YOU CAN TRUST
SmartML (part of the SmartEco ecosystem) is a benchmarking-only engine that enforces fixed seeds, deterministic splits, leakage-free encoding, identical preproc...
SmartML (part of the SmartEco ecosystem) is a benchmarking-only engine that enforces fixed seeds, deterministic splits, leakage-free encoding, identical preprocessing, and CPU-only execution by default. It detects which models actually run in your environment and measures training time, batch throughput, single-sample and P95 latency, plus core accuracy metrics—so results are reproducible and comparable across ML and DL models.
Removes environment drift and hidden leakage from benchmarks, making comparisons reliable.
CPU-first metrics align with common production deployment targets and capacity planning.
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Integrate SmartML in CI on a CPU runner to generate reproducible latency/throughput and accuracy reports per change.
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Use SmartML_Inspect to run only models available in the current environment and track model availability changes over time.
Legacy codebase integration strategies...
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Replace ad-hoc benchmark scripts with SmartML to standardize seeds, splits, preprocessing, and metrics across existing models.
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Plan separate GPU runs for DL models that SmartML skips on CPU, and be mindful of OS-specific dependencies.
Fresh architecture paradigms...
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Adopt SmartML from day one to define a consistent benchmarking baseline and SLO-oriented latency metrics.
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Keep CPU-only defaults to simplify CI and fair model comparisons before introducing specialized hardware.