SKU: 4266012066

Competition Clutch Ultra Lightweight Flywheel 7.4kg GM LS1 LS3

$182.76 $203.07
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Description

Competition Clutch Ultra Lightweight Flywheel 7.4kg GM LS1 LS3Flywheels Competition Clutch flywheels are made of 4140 forged steel and are a one piece design. This helps significantly in reducing the chances of ring gear separation and friction surface warpage. All flywheels can be resurfaced. The correct flywheel step can be obtained in the CCI catalog or by calling us direct. Flywheel weights vary from 8lbs to 18lbs depending on application. The lightweight steel flywheel (ST suffix) is recommended for

Flywheels
Competition Clutch flywheels are made of 4140 forged steel and are a one-piece design. This helps significantly in reducing the chances of ring gear separation and friction surface warpage. All flywheels can be resurfaced. The correct flywheel step can be obtained in the CCI catalog or by calling us direct. Flywheel weights vary from 8lbs to 18lbs depending on application.
The lightweight steel flywheel (ST suffix) is recommended for naturally aspirated and/or street driven applications. This flywheel preserves low-end torque and driveability. Well-suited for Gravity, Stage 1 and Stage 2 clutch applications.

The ultra lightweight steel flywheel (STU suffix) is recommended for forced induction  and/or track and rally racing applications. This flywheel is machined with less material to assist in quicker revving capabilities. Well-suited for Stage 3 and up clutch applications.

These flywheels will work with ALL performance and stock clutch assemblies. Not all applications ahve the ST and STU versions available. Please verify before ordering. All flywheels are SFI certified.

Warranty Policy: 90 Days

Alignment Tool Included:  Yes, if applicable

Disc Material: 4140 forged steel

SFI Approved:    Yes

Weight:  8-18lbs depending on application

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SKU: 4266012066

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MrGee
Waukegan, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Lake Worth, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Boise, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Battle Creek, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Los Angeles, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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