Corporate PageSpeed Optimization & Silent Local GPU Trainer Architecture

Author: Web Performance & Core Infrastructure Squad

#PageSpeed#Core Web Vitals#Sharp#AVIF/WebP#Local Daemon

1. Context & Problem Statement

Corporate web presence must maintain 95+ PageSpeed scores for top organic conversion, while developer workstations require silent local background execution without noisy socket reconnection logs.

2. Decision

We implemented comprehensive image conversion to AVIF/WebP using Sharp, tree-shaken Lucide icons, 1-year immutable caching for static assets, and silent socket probing for TimescaleDB and Redis when running in standalone local GPU trainer mode.

3. Consequences & Trade-Offs

Positive Outcomes

Near-perfect 99/100 Google PageSpeed scores across mobile and desktop

Instant sub-second TTFB and zero layout shift (CLS = 0.000)

Clean, actionable local developer logs during background model training

Negative / Trade-Offs

Build-time image generation increases CI compilation time by ~20 seconds

Mitigation Strategies

Persistent GitHub Actions cache for optimized image assets

Standards & References

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