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Offline-First-KI: Architekturen für Umgebungen ohne Konnektivität
Paperback
Publisher: Independently Published
Published: Apr 26 2026
Pages: 216
Weight: 0.77
Height: 0.46 Width: 6.69 Depth: 9.61
Language: German
- Wie Sie Inferenz-Pipelines auf Hardware quetschen, die mehr einer Armbanduhr ähnelt als einem Server-Rack - und trotzdem über Wochen hinweg zuverlässige, korrekte Ergebnisse liefern, ohne jemals ein Backend zu kontaktieren
- Lokale Datenarchitekturen, die ohne Cloud funktionieren: CRDTs, Delta-Sync unter extremen Bandbreitenbeschränkungen und föderiertes Lernen für Geräte, die sich nur einmal im Monat sehen - und dann mit unterschiedlichen Softwareständen
- Sicherheitsstrategien für Zero-Trust, das nicht auf permanenter Cloud-Anbindung basiert - inklusive Härtung gegen physische Manipulation, Metriksammlung ohne Grafana und Tests, die Netzpartitionen simulieren, statt sie zu ignorieren
Dieses Buch ist kein allgemeines Werk über Edge Computing und kein Marketing-Manifest für KI überall. Es ist ein technisches Handbuch für den Architekten, der vor der konkreten Aufgabe steht: Ein Modell muss auf dem Gerät laufen, mit begrenztem RAM auskommen und korrekte Ergebnisse liefern, ohne jemals ein Backend zu sehen. Es muss lernen, wenn sich die Gelegenheit bietet - aber nicht auf Kosten der Stabilität. Basierend auf jahrelanger Praxis - von Insulinpumpen mit Quantized-INT4-Modellen auf Cortex-M4-Prozessoren bis zu Erntemaschinen in Funklochgebieten - zeigt dieses Buch in vier Teilen, wie Sie KI-Systeme bauen, die im Feld bestehen oder scheitern müssen, ohne Rückfallebene auf AWS.
Wenn Sie bereit sind, KI-Architekturen zu entwerfen, die dort funktionieren, wo die Cloud nicht reicht, dann ist dieses Buch Ihr Handbuch für die Realität jenseits der Netzabdeckung. Beginnen Sie mit Teil I und messen Sie nicht die theoretische Netzabdeckung, sondern die praktische Verfügbarkeit - denn die smartesten KI-Systeme funktionieren genau dort, wo das Netz endet.
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