SKU: 57877291949

7219 b xl mp ub fag

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Description

7219 b xl mp ub fagTechnische Basisdaten Hersteller: FAG Synonym: 0893134450000 7219 B MP UB Erweiterte technische Daten Axialluft Spannung UB (only use FAG) Small Axial Clearance B 40 Contact Angle Begrenzungsdrehzahl (n G) "6700. 0000" ueres Breitenmae: mm 32,00 ECLASS number 23 05 08 03 ECLASS2 number 23 05 08 03 Einzelgewicht in (kg): 2. 78 MP Machined Brass Cage, Window Type, Rolling Element Riding Paarung G Universelle Paarung Radial Dynamic Load Rating Cr (N)

Technische Basisdaten

Hersteller: FAG
Synonym: 0893134450000 7219-B-MP-UB


Erweiterte technische Daten

Axialluft/Spannung UB (only use FAG) - Small Axial Clearance
B 40° Contact Angle
Begrenzungsdrehzahl (n G) "6700.0000"
Äußeres Breitenmaße: mm 32,00
ECLASS number 23-05-08-03
ECLASS2 number 23-05-08-03
Einzelgewicht in (kg): 2.78
MP Machined Brass Cage, Window Type, Rolling Element Riding
Paarung G – Universelle Paarung
Radial Dynamic Load Rating Cr (N) 123000
Radial Static Load Rating C0r (N) 106000
Referenzdrehzahl (n ϑr) "4450.0000"
UB Axial Clearance/Preload, Universal Bearing, Small Axial Clearance
XL X-Life
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SKU: 57877291949

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4.8 ★★★★★
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J
Verified Purchase
Johann
Port Orchard, US
★★★★★ 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Lexington, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Waukegan, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
Alexandria, US
★★★★★ 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
Y
Verified Purchase
Y. Banga
Lexington, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 21, 2025

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