SKU: 31351935794

Fits Ford F-250/F-350 Super Duty (99-16) Oval Nerf Step; Crew Cab; Black; 21013

$121.47 $134.97
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Description

Fits Ford F-250/F-350 Super Duty (99-16) Oval Nerf Step; Crew Cab; Black; 21013Step up your game. Give your Super Duty the perfect finishing touch with Rough Country's Oval Nerf Step Bars. They feature non slip foot pads for secure footing with a classic OEM design that looks great on any Super Duty, including lifted models. These step bars are designed for both form and function with a curved and stylish look. Stability and Style. Our Oval Nerf Steps have been designed with your safety in mind. The 30 degree angled end steps

Step up your game. Give your Super Duty the perfect finishing touch with Rough Country's Oval Nerf Step Bars. They feature non-slip foot pads for secure footing with a classic OEM design that looks great on any Super Duty, including lifted models. These step bars are designed for both form and function with a curved and stylish look.

Stability and Style. Our Oval Nerf Steps have been designed with your safety in mind. The 30-degree angled end steps provide convenient access with an extra-wide 5-inch stepping area. In addition, they are built into a high-quality tubular nerf rail, providing tons of support and stability. Sealed to protect against corrosion, these rugged and stylish Oval Nerf Side Steps are black powder-coated for long-lasting life.

Installation. With no cutting or drilling required to install, installation couldn't be easier. With an estimated 1-2 hours timeframe, this kit can be installed at home using standard tools.

Warranty. Rough Country's Oval Nerf Step Bars are backed with a five-year replacement warranty towards manufacturer defects. As such, the product is protected from structural and workmanship damage after the date of purchase. With our industry-leading warranty, give yourself peace of mind when using Rough Country's products!


Features:

  • Durable, steel side steps
  • Classic, OEM design
  • Wide 4.5-inch stepping area
  • No-drill installation
  • 30-degree angled end design
  • Easy installation
  • Looks great on lifted vehicles
  • 5-year limited warranty.

Application:

Year Make Model Submodel
1999-2016 Ford F-250 Super Duty Lariat
1999-2016 Ford F-250 Super Duty XL
1999-2016 Ford F-250 Super Duty XLT
1999-2016 Ford F-350 Super Duty Lariat
1999-2016 Ford F-350 Super Duty XL
1999-2016 Ford F-350 Super Duty XLT
2003-2016 Ford F-350 Super Duty King Ranch
2004-2010 Ford F-250 Super Duty Harley-Davidson Edition
2004-2016 Ford F-250 Super Duty King Ranch
2004-2010 Ford F-350 Super Duty Harley-Davidson Edition
2008-2009 Ford F-250 Super Duty FX4
2008-2009 Ford F-350 Super Duty FX4
2009-2010 Ford F-250 Super Duty Cabela's
2009-2010 Ford F-350 Super Duty Cabela's
2013-2016 Ford F-250 Super Duty Platinum
2013-2016 Ford F-350 Super Duty Platinum
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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  • Delivery to the USA:
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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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 31351935794

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4.2 ★★★★★
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Product Reviews
N
noam barkay
Lake Worth, 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
Grantham, 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
Bozeman, 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
Massapequa, 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
A
Verified Purchase
Amazon Customer
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024

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