EBC Ultimax OE Style Disc Kit (RK7547)
SKU: 35765698617

EBC Ultimax OE Style Disc Kit (RK7547)

Sale price$143.22 Regular price$159.13
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Description

EBC Ultimax OE Style Disc Kit (RK7547)EBC Premium OE Replacement Brake Rotors GEN 3 EBC Brakes are quickly switching to its latest Gen 3 silver grey disc rotors. All disc rotor materials and drill or slot patterns will remain the same except the base rotor will be Silver Grey. This new surface coating is a highly corrosion resistant rust prevention coating and is now on all current production of EBC Brake rotors. New GEN 3 Silver Grey Rotors and the Logic Behind It In the past few years,

EBC Premium OE Replacement Brake Rotors GEN 3
EBC Brakes are quickly switching to its latest Gen 3 silver grey disc rotors. All disc rotor materials and drill or slot patterns will remain the same except the base rotor will be Silver Grey. This new surface coating is a highly corrosion-resistant rust prevention coating and is now on all current production of EBC Brake rotors.

New GEN 3 Silver Grey Rotors and the Logic Behind It
In the past few years, EBC Brakes has enhanced its rotor production facilities, now over 80% of our rotor castings are produced in Europe and 100% of machining for sport rotors is done in either the UK or the USA. EBC switched in early 2023 to a new silver grey Geomet style coating color, the photograph opposite from the AutoSport show a few years ago, shows what our rotors looked like before and the photo below shows the new product

The Reason For The Switch

  • Silver color leaves the rotor hat or hub silver in appearance after bedding in – more likely to match a vehicle's original rotor colors, so the front and back of the car look similar if you have only changed one axle
  • The new silver finish has far higher corrosion resistance to the former black etch paint (thermic black versions)
  • Painting is now done as a part of the rotor production process in the actual casting plant. This facility is more environmentally friendly, and air quality controlled and it also means the rotor castings are coated right after machining and washing leaving no time for surface corrosion to set in which happens minutes after a rotor is washed and left as naked iron

Made Using G3000 Cast Iron
EBC Automotive brake rotors are made from G3000 spec cast iron and full specifications and properties can be seen here! Runout figures above this will lead to vibration after 3000 to 4000 miles due to what we call disc thickness variation which is not a warranty condition. So you see this is no cheap import brake disc. These brake discs have the highest integrity and product quality on the aftermarket. An OE quality replacement disc, made of the finest grade iron and a perfect replacement disc for any car.

Every EBC rotor is runout inspected on this machine. Even when manufactured on state of the art precision machines, not even ONE single disc escapes this process guaranteeing perfect disc alignment. If during install you notice runout on your car it will surely be due to a chassis alignment that happens on one in seven cars, usually cased by nudging a kerb or hitting a pothole in the road earlier in driving the vehicle.

All new Gen 3 Rotors are Silver Coated

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Exchange/Return Notes
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SKU: 35765698617

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4.8 ★★★★★
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Product Reviews
O
Om S
Pawtucket, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Pawtucket, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Battle Creek, 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.
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Reviewed in the United States on August 10, 2025

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