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Description
Rockford Fosgate PM2652W-BGeneral Features: 6. 5" PM2652 Series Wakeboard Tower Speaker Power Handling: Peak: 340 watts per pair 170 watts each RMS: 170 watts per pair 85 watts each Recommended Power Range: 40 85 watts RMS True Marine Grade Compliance High Density polyethylene enclosure with UV inhibitors Cast aluminum mounting hardware adjusts from 1 1 2" to 2 3 4" bar size 360 rotational mounting capability Injection molded mineral filled Polypropylene Cone Thermo Plastic
General Features:
- 6.5" PM2652 Series Wakeboard Tower Speaker
- Power Handling:
- Peak: 340 watts per pair / 170 watts each
- RMS: 170 watts per pair / 85 watts each
- Recommended Power Range: 40 - 85 watts RMS
- True Marine Grade Compliance
- High Density poly‐ethylene enclosure with UV inhibitors
- Cast aluminum mounting hardware adjusts from 1-1/2" to 2-3/4" bar size
- 360° rotational mounting capability
- Injection molded mineral filled Polypropylene Cone
- Thermo-Plastic Elastomer (TPE) Surround
- 1" Aluminum Dome Tweeter
- CEA-2031 compliant speakers
- 4 ohms impedance
- Frequency Response: 49-22,000 Hz
- Sensitivity: 89dB
- Dimensions: 7.1"W x 13.2"D x 9.1"H
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- Free Standard Shipping on $100+ Orders to the USA.
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- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
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4.6 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 6, 2026
★★★★★ 5
Effective book for learning ollama
Format: Paperback
The author has explained clearly the concept. Helpful and effectively written.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2026
★★★★★ 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
★★★★★ 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
★★★★★ 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
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