SKU: 80151887887

Endura Downpipe Decat - Audi RS4 / RS5 B9 NON OPF

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Description

Endura Downpipe Decat - Audi RS4 / RS5 B9 NON OPFGeef je Audi RS4 B9 of RS5 B9 (F5) 2. 9 TFSI biturbo een serieuze performance upgrade met deze Endura Motorsport decat downpipes. Deze downpipes vervangen rechtstreeks de originele katalysatoren en zijn vervaardigd uit hoogwaardig T304 roestvrij staal met handgemaakte TIG lassen. Dankzij het grote 114,3 mm (4. 5") ontwerp vanaf de turbo, aflopend naar 76 mm (3"), wordt de uitlaatgasstroom aanzienlijk verbeterd voor meer vermogen, snellere turborespons

Geef je Audi RS4 B9 of RS5 B9 (F5) 2.9 TFSI biturbo een serieuze performance-upgrade met deze Endura Motorsport decat downpipes. Deze downpipes vervangen rechtstreeks de originele katalysatoren en zijn vervaardigd uit hoogwaardig T304 roestvrij staal met handgemaakte TIG-lassen. Dankzij het grote 114,3 mm (4.5") ontwerp vanaf de turbo, aflopend naar 76 mm (3"), wordt de uitlaatgasstroom aanzienlijk verbeterd voor meer vermogen, snellere turborespons en een agressiever uitlaatgeluid.

Op een Stage 1 setup wordt gemiddeld een winst van circa 34 pk gerealiseerd. De downpipes passen direct op de originele bevestigingspunten en vereisen geen aanpassingen tijdens montage.

Voordelen

• Direct te monteren – 100% OEM-pasvorm zonder aanpassingen
• Meer vermogen en koppel dankzij sterk verbeterde flow
• Gemiddeld +34 pk op een Stage 1 setup
• Snellere turborespons
• Agressiever en dieper uitlaatgeluid
• Volledig vervaardigd uit T304 roestvrij staal
• Handgemaakte TIG-lassen voor maximale duurzaamheid
• Groot 114,3 mm (4.5") ontwerp vanaf de turbo, aflopend naar 76 mm (3")
• Inclusief montagemateriaal
• Levenslange garantie op fabricagefouten

Inhoud

• Linker decat downpipe
• Rechter decat downpipe
• Montagemateriaal

Compatibiliteit

Audi RS4 B9 2.9 TFSI Biturbo (Non-OPF)
Audi RS5 B9 / F5 2.9 TFSI Biturbo (Non-OPF)

Belangrijk

• Alleen geschikt voor voertuigen zonder OPF (Otto Partikel Filter).
• Software-aanpassing aanbevolen of vereist na montage om foutcodes te voorkomen en optimale prestaties te behalen.
• Niet straatlegaal in landen/regio’s met emissie- of keuringsplicht. Alleen voor motorsport- en off-roadgebruik waar toegestaan.
• Deze uitvoering bevat geen katalysatoren (decat-uitvoering).

Veelgestelde vragen

Past deze set op een OPF-uitvoering?

Nee. Deze downpipes zijn uitsluitend geschikt voor Non-OPF modellen. Controleer vooraf of jouw voertuig af fabriek voorzien is van een OPF-systeem.

Hoeveel vermogen levert deze upgrade op?

Op een Stage 1 setup wordt gemiddeld ongeveer 34 pk extra gerealiseerd. Het exacte resultaat hangt af van de software en overige modificaties.

Heb ik een ECU-tune nodig?

Ja. Een software-aanpassing wordt sterk aanbevolen om foutcodes te voorkomen en het maximale vermogen uit de modificatie te halen.

Vervangen deze downpipes de originele katalysatoren?

Ja. Deze downpipes vervangen de originele katalysatoren volledig voor maximale uitlaatflow.

Wat is het voordeel van de grotere diameter?

Het 114,3 mm (4.5") ontwerp direct achter de turbo vermindert tegendruk aanzienlijk, waardoor de turbo's efficiënter kunnen werken en sneller opspoelen.

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SKU: 80151887887

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4.8 ★★★★★
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Product Reviews
J
Jiewen Wang
Boise, 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
Waukegan, 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
Louisville, 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
Pawtucket, 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
Battle Creek, 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

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