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Description
2019-2025 Ram HD 5.5" Lift Kit with FOX 2.5 Performance Elite Shocks (BDS1681FPE)Take your RAM 2500 gas powered truck to the next level with this 5. 5 inch radius arm lift kit from BDS Suspension. Designed to improve stance, performance, and capability, this kit includes everything necessary to set your truck up right with clearance for up to 37 inch Tires. Up front the lift kit includes gas specific Pro Ride coil springs, heavy duty replacement radius arms, forged drop pitman arm and track bar bracket for steering correction,
Take your RAM 2500 gas powered truck to the next level with this 5.5-inch radius arm lift kit from BDS Suspension. Designed to improve stance, performance, and capability, this kit includes everything necessary to set your truck up right with clearance for up to 37 inch Tires. Up front the lift kit includes gas-specific Pro-Ride coil springs, heavy-duty replacement radius arms, forged drop pitman arm and track bar bracket for steering correction, sway bar relocation, brake line brackets and precision tuned NX2 or FOX 2.0 nitrogen charged shocks. At this height, the transfer case needs to be indexed to allow use of the factory front driveshaft so an indexing ring and new transmission crossmember are supplied. In the rear this kit utilizes progressive rate Pro-Ride coil springs, track bar relocation bracket to correct axle positioning, bump stop extensions, sway bar links and a matching set of NX2 Nitro or FOX 2.0 Performance shocks.
Features
- Will NOT fit air-ride equipped models
- Gas models only
- Will NOT fit Power Wagon Models
- Heavy duty 4-link arms improve strength, handling and caster control
- High strength progressive rate coil springs for a great ride on any terrain
- Track bar relocation brackets to re-position axle
- Forged drop pitman arm to correct steering angles
- Front sway bar correction to maintain handling performance
- HD transmission crossmember and t-case indexing ring to correct front driveline angles and allow use of factory driveshafts
- BDS NX2 gas or FOX performance series Internal Floating Piston gas shocks to improved ride and offroad performance
- Increased off-road capabilities
- Easily adjust your shock for terrain, load and speed
- 2.5-inch Impact extruded aluminum body
- Massive 7/8-inch hard chrome plated heat-treated alloy steel shaft
- External reservoir design separates shock oil from the high-pressure nitrogen
- Dual Speed Compression Adjust - Dual Speed Compression Adjuster comes standard
- Fully serviceable for a lifetime of use
- 1-year Manufacturer's Warranty
Specs
- Front Lift Method: Coil Spring
- Rear Lift Method: Coil Springs
- Shocks Included: Yes
- Front Lift Height: 5.5 inch
- Rear Lift Height: 4.5 inch
Recommended Tire & Wheel Fitment
- Tire Size: 37x13.5
- Wheel Diameter: 18x9
- Back Spacing: 5.625/5.625
Notes
- Exhaust modification is required to clear front driveshaft. Vehicle can be driven w/o front driveshaft to an exhaust shop
Includes
- BDS012459, 2019-2024 Ram 2500 4.5 inch Rear Coil Box Kit (UPC 658848612482)
- BDS012614, 2019-2024 Ram 2500 / 2019-2024 Ram 3500 6 inch Radius Arm Front Box Kit (UPC 658848612758)
- BDS032491, 2019-2024 Ram 2500 / 2019-2024 Ram 3500 Coil Springs - 4 inch Diesel/5.5 inch Gas (UPC 658848616374)
- BDS122321, 2013-2024 Ram 2500 /2013-2024 Ram 3500 Radius Arm Box Kit (UPC 658848619429)
- BDS122626, 2019-2024 Ram 2500 / 2019-2024 Ram 3500 T-Case Index - 6 Bolt - Gas (UPC 658848619788)
- FOX88326064, Kit: 2014-2024 Ram 2500, Front, 2.5 Truck Fox Performance Elite Series, R/R, 6 inch Lift, Dual Speed Compression Adjust
- FOX88326067, Kit: 2014-2023 Ram 2500, Rear, 2.5 Truck Fox Performance Elite Series, P/B, 11.1 inch, 4-6 inch Lift, Dual Speed Compression Adjust
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.3 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning.
There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s.
The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read.
There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning.
The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique.
Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
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