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Description
NU2224ECML/C3 SKFTechnische Basisdaten ueres Breitenma: 58 mm Gewicht: 9287 Gramm Herstellungsland: Deutschland Zolltarifnummer: 8482 5000 Erweiterte technische Daten Anzahl der Reihen 1 Axiale Verschiebbarkeit In both directions Beschichtung Ohne ueres Breitenma 58 mm Dynamische Tragzahl 520 kN Einzelgewicht 9. 16 kg Grenzdrehzahl 5 600 r min Loser Bord Kein(e r) Nachschmierfunktion Ohne Referenzdrehzahl 3 400 r min Statische Tragzahl 630 kN UNSPSC Code 31171505
Technische Basisdaten
| Äußeres Breitenmaß: 58 mm |
| Gewicht: 9287 Gramm |
| Herstellungsland: Deutschland |
| Zolltarifnummer: 8482 5000 |
Erweiterte technische Daten
| Anzahl der Reihen 1 |
| Axiale Verschiebbarkeit In both directions |
| Beschichtung Ohne |
| Äußeres Breitenmaß 58 mm |
| Dynamische Tragzahl 520 kN |
| Einzelgewicht 9.16 kg |
| Grenzdrehzahl 5 600 r/min |
| Loser Bord Kein(e/r) |
| Nachschmierfunktion Ohne |
| Referenzdrehzahl 3 400 r/min |
| Statische Tragzahl 630 kN |
| UNSPSC-Code 31171505 |
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4.7 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
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