SKU: 84875806541

Dahua 32 Channel 2U 8HDDs Ultra series NVR - NVR608-32-4KS2

Sale price$400.50 Regular price$445.00
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Ships within 48 hours · Estimated delivery Jul 29 - Aug 3

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Description

Dahua 32 Channel 2U 8HDDs Ultra series NVR - NVR608-32-4KS2This powerful NVR boasts an Intel processor for capturing crucial details in 4K resolution, ideal for applications like public safety and government facilities. Offering flexible storage options (central, edge, and backup) and user friendly remote control, it adapts to diverse needs. Dahua's next gen NVR delivers unmatched recording for IP surveillance. Features: New 4. 0 user interface 16 channel decoding@1080p (30 fps); self adaptive decoding

This powerful NVR boasts an Intel processor for capturing crucial details in 4K resolution, ideal for applications like public safety and government facilities. Offering flexible storage options (central, edge, and backup) and user-friendly remote control, it adapts to diverse needs. Dahua's next-gen NVR delivers unmatched recording for IP surveillance.

Features:

  • New 4.0 user interface

  • 16-channel decoding@1080p (30 fps); self-adaptive decoding capability

  • Access, storage or forwarding at 384 Mbps

  • Simultaneous video output for VGA and HDMI1; 4K heterogeneous output for the 2 HDMI ports

  • Multiple data mode such as Raid0, Raid1, Raid5, Raid6, and Raid10

  • Remote configuration and management of IPCs, such as setting pa rameters, acquiring information and upgrading IPCs of the same model in batches

  • AI-by-camera functions such as perimeter protection, face detection and recognition, SMD Plus, video metadata, ANPR and 3D behavior analysis

  • N+M cluster. When the host fails, the standbydevice will continue to record; once the host recovers,video recorded on the standby device will be transmitted back

 

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SKU: 84875806541

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Verified Purchase
Johann
Battle Creek, 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.
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Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
West Palm Beach, 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
A
Verified Purchase
Abdul
Cuba, 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
Los Angeles, 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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