SKU: 74326780811

Super Vac V20-BD 20" DeWalt Battery Powered Positive Pressure Ventilator

Sale price$2527.20 Regular price$2808.00
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Description

Super Vac V20-BD 20" DeWalt Battery Powered Positive Pressure VentilatorThe prices for Super Vac products shown on our website are Super Vacs MAP (minimum advertised price). We are not permitted to show pricing below MAP on this page. To get your final discounted price, please call us at 800 759 3473, or contact your Local Fire End Sales Rep. Our Fire End Sales Team Note: You may also add the item to your shopping cart, enter Coupon Code: FANS and your discount will be applied. SUPER VAC V20 BD DEWALT BATTERY POSITIVE


The prices for Super Vac products shown on our website are Super Vac’s MAP (minimum advertised price).

We are not permitted to show pricing below MAP on this page. To get your final discounted price, please call us at 800-759-3473, or contact your Local Fire-End Sales Rep.

Our Fire-End Sales Team

Note:You may also add the item to your shopping cart, enter Coupon Code: FANS and your discount will be applied.

SUPER VAC V20-BD
DEWALT BATTERY POSITIVE PRESSURE VENTILATOR


Never in firefighting history has one battery fan worked together with your department’s other DeWalt battery-operated tools.

Introducing the all-new Super Vac 20” variable-speed battery fan, which works with dual DeWalt FLEXVOLT® batteries, making this rugged yet compact fan the most swappable PPV interface on the market.

 

  1. Compact, Roll-Cage Frame: Features a tough yet lightweight aluminum frame to protect key components while providing a compact, lightweight design

  2. Fold-Down Ergonomic Handle: Folds into the frame for compact storage; features full-width handle for easy grip with heavy-duty gloves

  3. Flat-Proof Rubber Tires with Skid Plates: Highly maneuverable, even on stairs, and all without lifting the fan; easy to deploy by all firefighters.

  4. 180-Degree Tilt: Provides the largest tilt range among battery fans, allowing airflow to be directed virtually anywhere Fan Features

  5. Dewalt FLEXVOLT Lithium-Ion Batteries: Batteries provide up to 40 minutes of max airflow, depending on battery selection; 120-240V AC operation is standard (with optional delete).

  6. Polymer Blade: Minimizes weight; Super Vac’s single-piece cast aluminum blade is available by request

  7. Precision-Spun Steel Shroud with StreamShaper Guard: Shroud provides durability with max airflow, while the StreamShaper guard allows for a flexible setback; Air Cone Guard available by request




Standard Batteries

 

DeWalt FLEXVOLT 9.0Ah (2) (Compatible with all DeWalt 20/60/120V MAX Tools)

  • 35 minutes run time with built-in battery gauge, at maximum airflow

 

 

Optional Batteries

 

DeWalt FLEXVOLT 12.0Ah (2) (Compatible with all DeWalt 20/60/120V MAX Tools)

  • 40minutes run time with built-in battery gauge, at maximum airflow

*Up to 40minutes run time, depending on battery selection. 120V MAX is based on using 2 DEWALT 60V MAX*lithium-ion batteries combined.

Super-Vac-V20-BD_SellSht_UPDATED

 

Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 74326780811

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4.3 ★★★★★
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Adam
Lexington, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Omaha, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
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Verified Purchase
mackster
Lake Worth, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
Belleville, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Verified Purchase
Sabrina
Phoenix, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026

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