SKU: 86060413524

Yealink VCH51 Cable Hub - To Connect HDMI Or USB For Content Sharing Or For BYOD Functionality On The Meetingeye 400/Meetingeye 600/A20/A30 Systems

Sale price$1605.83 Regular price$1784.25
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Ships within 48 hours · Estimated delivery Jul 15 - Jul 20

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Description

Yealink VCH51 Cable Hub - To Connect HDMI Or USB For Content Sharing Or For BYOD Functionality On The Meetingeye 400/Meetingeye 600/A20/A30 SystemsProduct Overview The Yealink Sharing Box VCH51 is designed for effortless use, deployment, and management. It enables users to present PC content seamlessly to a Yealink video conferencing system, ensuring a stable and high quality presentation experience. The VCH51 also supports BYOD (Bring Your Own Device) mode, allowing users to connect their PCs directly for audio and video, enhancing the overall video conferencing experience. Note: BYOD mode is

Product Overview

The Yealink Sharing Box VCH51 is designed for effortless use, deployment, and management. It enables users to present PC content seamlessly to a Yealink video conferencing system, ensuring a stable and high-quality presentation experience. The VCH51 also supports BYOD (Bring Your Own Device) mode, allowing users to connect their PCs directly for audio and video, enhancing the overall video conferencing experience.

Note: BYOD mode is currently supported on MeetingEye 400/600 and MeetingBar A20/A30 systems.

Key Features:

  • HDMI sharing for easy content presentation

  • BYOD mode for Yealink endpoints (MeetingBar A20/A30, MeetingEye 400/600)

  • Compatible OS: Windows 7/8.1/10, macOS 10.6 or higher

  • Compatible Applications: Most PC applications, when used as the PC audio & video device

Package Includes:

  • 1 × 100Mbps RJ45 port (IEEE 802.3af, full-duplex)

  • 1 × USB 2.0 Type-A

  • 1 × USB 2.0 Type-C (with DP video input)

  • 1 × HDMI video input

Performance:

  • Presentation resolution up to 4Kp15

    • Up to 4Kp15 on MeetingEye 400/600

    • Up to 1080p30 on MeetingBar A20/A30

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 86060413524

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Marc in MA
Belleville, US
★★★★★ 5
Excellent introduction
Format: Kindle
This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
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Reviewed in the United States on April 6, 2026
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Simon Mok
Charlottesville, US
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
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Reviewed in the United States on January 21, 2026
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Johann
Lake Worth, 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
Phoenix, 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
Birmingham, 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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