SKU: 54184801337

Scanstrut ROKK 10W Sub Wireless Integrated Charging Pad

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Description

Scanstrut ROKK 10W Sub Wireless Integrated Charging PadROKK 10W Sub Wireless Integrated Charging Pad Engineered to bond underneath & wirelessly charge through all non metallic materials; GRP, fabric, leather, wood, carbon fiber, and all leading marine traction products, e. g SeaDek and MarineMat. The result is wireless phone charging capabilities with your finished aesthetic. The IPX6 waterproof 12 24V Qi certified waterproof wireless charging range enables wireless charging for the outdoor environment

ROKK 10W Sub Wireless Integrated Charging Pad

Engineered to bond underneath & wirelessly charge through all non-metallic materials; GRP, fabric, leather, wood, carbon fiber, and all leading marine traction products, e.g SeaDek and MarineMat.  The result is wireless phone charging capabilities with your finished aesthetic.

The IPX6 waterproof 12/24V Qi certified waterproof wireless charging range enables wireless charging for the outdoor environment without needing phone charging cables.

Our new upgraded 10W chargers are up to 60% faster and have been designed for the latest generation of power-hungry devices and apps.

Your chosen charging area will be completely flush with its surrounding environment and allows for custom branding.

Designed from the ground up, this is the world’s first waterproof wireless charge system created specifically for use on board, with the unique technology housed in an IPX6, fully encapsulated and sealed unit.

Case Compatibility:

  • ROKK wireless is designed to work with most slimline phone cases up to .11" (3mm)

Features:

  • Compatible with all Qi Wirelessly charging electronics.
  • Unlimited Charge Possibilities - whether you want to integrate wireless charging at the helm, cockpit table, seating areas, bedrooms, or even areas that may be stood on, it’s all possible. 
  • Let your creativity run free and integrate wireless charging into new materials, fabrics, and in high traffic areas of the boat that until now have been off-limits.

Technical Specifications:

  • Input Voltage Range - 10-30V DC (12/24V system) 
    • Input current max: - 2A  
    • Output Power: 10W (9V,1.1A)
  • IPX6 Waterproof
  • Qi-certified wireless charging

In the Box:

  • Charging pad
  • Instruction manual 

*Sold as an Individual


Manufacturer : Scanstrut
Manufacturer Part No : SC-CW-07F
UPC : 5060114798076
Shipping Notes
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • 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: 54184801337

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4.5 ★★★★★
Based on 25 reviews
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Product Reviews
N
Nader
Louisville, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Dallas, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Boise, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Pawtucket, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Pawtucket, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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