Case Studies
Outcomes from teams running real GPU fleets in production.
Four stories about turning observability into measurable lift — from training cost to release velocity to compliance.
Training
40%
lower training cost
Cutting AI Training Costs by 40% — No Trade-Offs in Performance
How a growth-stage startup closed the AI execution gap with deeper observability and policy-driven optimization.
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Inference
40%
fewer incidents
Faster AI Model Releases with 40% Fewer Incidents
A mid-market firm modernized model serving with KServe, Triton, and inference-grade observability.
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MLOps
85%
faster drift detection
Cutting Drift Detection by 85%: Observability that Transforms MLOps
How a platform team replaced a tangle of probes with a single drift signal that operators trust.
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Compliance
100%
audit coverage
Compliance-Aware AI Data Infrastructure for Healthcare
Air-gapped GPU operations with immutable audit trails — without slowing down model iteration.
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