SKU: 27687291396

Furhaven Orthopedic Dog Bed for Large Dogs w/ Removable Bolsters & Washable Cover, For Dogs Up to 95 lbs - Two-Tone Plush Faux Fur & Suede L Shaped Chaise - Dark Sage, Jumbo/XL

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Description

Furhaven Orthopedic Dog Bed for Large Dogs w/ Removable Bolsters & Washable Cover, For Dogs Up to 95 lbs - Two-Tone Plush Faux Fur & Suede L Shaped Chaise - Dark Sage, Jumbo/XLAbout This SLEEP SURFACE: The sleep surface is lined with ultra plush faux fur, while the bolsters are wrapped in easy care micro suede; both are soft to touch fabrics that no pet could ever resist snuggling into EASY ON JOINTS: The egg crate orthopedic foam helps cushion pressure points, distribute body weight, and improve air circulation, while the fluffy filled bolsters provide optimum support for the neck, back, hips, and joints for a more restful

About This

  • SLEEP SURFACE: The sleep surface is lined with ultra plush faux fur, while the bolsters are wrapped in easy-care micro suede; both are soft-to-touch fabrics that no pet could ever resist snuggling into
  • EASY ON JOINTS: The egg crate orthopedic foam helps cushion pressure points, distribute body weight, and improve air circulation, while the fluffy-filled bolsters provide optimum support for the neck, back, hips, and joints for a more restful sleep
  • PRODUCT DETAILS: Dark Sage; Jumbo, 44" x 35" x 8" (4" Foam; Sleep Surface: Approx. 38" x 29")
  • AVAILABLE VARIANTS: The bed comes in Espresso, Dark Sage, and Stone Gray; it's also available in Small, Medium, Large, Jumbo, and Jumbo Plus
  • EASY CARE: Pets can present some unique cleaning challenges, which is why Furhaven made sure that the removable dog bed cover is completely machine washable for your convenience
  • NOT SUITABLE for pets with excessive teething or destructive chewing behavior
  • age range description: All Life Stages

Overview

  • Brand : Furhaven
  • Breed Recommendation : All Breed Sizes
  • Special Feature : Orthopedic, Non Skid Bottom, Washable, Removable Cover
  • Material : Polyester
  • Product Dimensions : 40"L x 32"W x 4"Th
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SKU: 27687291396

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Johann
Boise, 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!
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Reviewed in the United States on August 4, 2025
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jrw879
Louisville, 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.
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Reviewed in the United States on February 20, 2026
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Wil C
Grantham, 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
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Reviewed in the United States on September 23, 2025
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Verified Purchase
Abdul
West Palm Beach, 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
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Y. Banga
Draper, 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.
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Reviewed in the United States on February 21, 2025

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