SKU: 49301957885

VRSF B58 Downpipe 2019-2023 M340i, M440i, M240i, X5, X7 40i

Sale price$135.00 Regular price$150.00
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Description

VRSF B58 Downpipe 2019-2023 M340i, M440i, M240i, X5, X7 40iBack pressure is significantly reduced by eliminating the restrictive catalytic converter in the factory downpipe with our race or high flow 200 cell race cat which results in faster spool, an increase in power & a more aggressive exhaust note. Our downpipe features a full 4. 5 stainless steel design as well as a CNC 304 grade stainless steel flange that offers a smooth transition from the turbo to the mid pipes. All VRSF downpipes are hand crafted

Back pressure is significantly reduced by eliminating the restrictive catalytic converter in the factory downpipe with our race or high flow 200 cell race cat which results in faster spool, an increase in power & a more aggressive exhaust note. Our downpipe features a full 4.5″ stainless steel design as well as a CNC 304 grade stainless steel flange that offers a smooth transition from the turbo to the mid pipes. All VRSF downpipes are hand crafted from SS304 grade stainless steel and include a lifetime warranty as well as our “No Hassle” satisfaction guarantee (includes fitment).

Please note that the warranty on the catted downpipe is limited to two years.

This item fits the following BMWs:
2019 – 2023 G20, G22 & G26 B58 BMW M340i & M440i & xDrive
2019 – 2022 F22 B58 BMW M240i & xDrive
2021 – 2023 G42 B58 BMW M240i & xDrive
2019 – 2023 G05 B58 BMW X5 40i & xDrive
2019 – 2023 G07 B58 BMW X7 40i & xDrive
2019 – 2023 G29 B58 BMW Z4 M40i

WARNING:

Cat-less Downpipes are for OFF ROAD USE ONLY. Using these will result in a check engine/service engine soon light. Federal and many state laws prohibit the removal, modification or rendering inoperative of any part or element of design affecting emissions or safety on motor vehicles used for transporting persons or property on a public street or highway.

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SKU: 49301957885

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Tans
Grantham, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
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RAKESH MITTAL
Pawtucket, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
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Ting
Battle Creek, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
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Sai
Birmingham, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
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Kirk D. Borne
West Palm Beach, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025

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