SKU: 79077962599

Quick Aleph AL3 712 Windlass - 10mm (3/8") 700W 12V No Drum

Sale price$753.30 Regular price$837.00
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Description

Quick Aleph AL3 712 Windlass - 10mm (3/8") 700W 12V No DrumVertical windlasses Base in anodized aluminium in hard oxide Rope and chain on a single gypsy Integrated sensor and magnet for chain counter Manual Free Fall system Emergency manual lift system Supplied with pressure lever Inspection lid IP67 watertight motor The AL3 is a vertical application windlass perfect for boats with limited deck space. This unit is composed of anodized aluminum in hard oxide which is a durable element when dealing with harsh

  • Vertical windlasses
  • Base in anodized aluminium in hard oxide
  • Rope and chain on a single gypsy
  • Integrated sensor and magnet for chain counter
  • Manual Free-Fall system
  • Emergency manual lift system
  • Supplied with pressure lever
  • Inspection lid
  • IP67 watertight motor

The AL3 is a vertical application windlass perfect for boats with limited deck space. This unit is composed of anodized aluminum in hard oxide which is a durable element when dealing with harsh marine environments. It comes in different variations such as with or without the drum capstan for rope retrieval as well as various gypsy sizes for rope and chain retrieval.

Equipped with an emergency manual lift system you can easily retrieve your anchor during instances when you may lose battery power on your boat. Additional features include an IP67 watertight motor anodized aluminum gearbox and an easy to open inspection lid. The package is sold complete with the windlass solenoid unit clutch handle and mounting hardware.

Gypsy Options

Gypsy 8mm (5/16") 10mm (3/8")
Chain 8mm
DIN 766
8mm
ISO
5/16"
G4
5/16"
BBB
10mm
ISO
3/8"
G4
Rope 12.7mm (1/2") - 14.2mm (9/16") - 15.8mm (5/8") 15.8mm (5/8")

The values in the table refer to a three-strand polyester rope with a rope/chain splice manufactured with the "Slim Splice Quick" system.

Specifications

Standard Version Aleph 700/700D Aleph 1000/1000D Aleph 1500/1500D
Motor Power 700W 1000W 1500W
Motor Supply Voltage 12V 24V 12V 24V 12V 24V
Maximum Pull 850Kg
(1874 lb)
1000Kg
2204 lb
1100Kg
2425 lb
Maximum working load 250Kg
(551 lb)
300Kg
(661 lb)
370Kg
816 lb
450Kg
992 lb
470Kg
1037 lb
540Kg
1191 lb
Working load 80Kg
(176 lb)
100Kg
(220 lb)
120Kg
264 lb
150Kg
331 lb
160Kg
353 lb
180Kg
397 lb
Current absorption @ working load 90 A 55 A 140 A 80 A 155 A 85 A
Maximum chain speed 27.4m/min
(75 ft/min)
26.4m/min
(83 ft/min)
39.6m/min
130 ft/min
40.9m/min
135 ft/min
29.2m/min
96 ft/min
29.7m/min
98 ft/min
Maximum chain speed @ working load 14.4m/min
(38 ft/min)
14.8m/min
(47 ft/min)
20.4m/min
67 ft/min
21.4m/min
71 ft/min
16.3m/min
54 ft/min
19m/min
63 ft/min
Weight without drum 17.4Kg
(37 lb)
18.6Kg
39 lb
20.8Kg
46 lb
Weight with drum 18.5Kg
(40 lb)
19.7Kg
42 lb
22.2Kg
50 lb
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SKU: 79077962599

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Vineeth Sai
Massapequa, 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!
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Reviewed in the United States on June 27, 2025
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CL
Omaha, 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.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
Pawtucket, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Natrona Heights, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
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Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
New York, US
★★★★★ 5
Before GPT can chat, it has to learn.
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One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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