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Inference latency remained under per planning cycle, enabling near‑real‑time re‑optimization. dldss-177
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The system met the SLA for 95 % of requests under nominal load, and gracefully degraded to <90 ms under peak burst conditions. Power Factor Correction: Students learn how to use
Power Factor Correction: Students learn how to use capacitor banks to improve the efficiency of a distribution network, reducing reactive power losses.Transformer Management: Understanding how to step down voltage safely and manage transformer tap changers under load conditions.Fault Diagnosis: Instructors can introduce hidden faults within the system, challenging students to use multimeters and diagnostic software to locate and rectify the issue.System Synchronization: Learning the delicate process of synchronizing different power sources to a common busbar without causing catastrophic failure. Safety First: The Educational Advantage
| Test Scenario | Input Rate | Avg. End‑to‑End Latency | 99th‑Percentile Latency | Throughput (req/s) | |---------------|------------|------------------------|------------------------|--------------------| | (GPU‑only) | 1 k req/s | 32 ms | 45 ms | 1.2 k | | Streaming inference (L‑Mesh) | 5 M events/s | 47 ms | 62 ms | 5.3 M | | Peak load (auto‑scaled) | 12 M events/s | 68 ms | 91 ms | 12.4 M |