SKU: 6030479924

Edelbrock Camshaft/Lifter/Pushrod Kit Performer RPM SBC 87-Later w/ Thrust Plate

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Description

Edelbrock Camshaft/Lifter/Pushrod Kit Performer RPM SBC 87-Later w/ Thrust PlateEdelbrock part #22046 Rollin' Thunder camshaft kit is designed for 1987 & later small block Chevy V 8 applications. This complete cam kits include an Edelbrock Rollin' Thunder hydraulic roller camshaft, hydraulic roller lifters and pushrods. The Rollin' Thunder camshaft kit is ground specifically for use with the corresponding Performer or Performer RPM manifold and cylinder heads. However, Rollin' Thunder camshaft package may also be used with other

Edelbrock part #22046 Rollin' Thunder camshaft kit is designed for 1987 & later small-block Chevy V-8 applications. This complete cam kits include an Edelbrock Rollin' Thunder hydraulic roller camshaft, hydraulic roller lifters and pushrods. The Rollin' Thunder camshaft kit is ground specifically for use with the corresponding Performer or Performer RPM manifold and cylinder heads. However, Rollin' Thunder camshaft package may also be used with other components designed to operate in a similar RPM range. Camshaft Specifications: - Duration @ .050 Intake: 234 degrees - Duration @ .050 Exhaust: 238 degrees - Lift @ Valve Intake: .539" - Lift @ Valve Exhaust: .548" - Lobe Separation: 112 Degrees - Intake Centerline: 107 Degrees - Idle Vacuum @ 1000 RPM's: 12"

  • Reduces Friction And Improve Fuel Economy

This Part Fits:

Year Make Model Submodel
1991-1993 Buick Commercial Chassis Base
1992-1993 Buick Roadmaster Base
1991-1993 Buick Roadmaster Estate Wagon
1992-1993 Buick Roadmaster Limited
1990-1992 Cadillac Brougham Base
1990-1992 Cadillac Brougham d'Elegance
1992-1993 Cadillac Commercial Chassis Brougham
1993 Cadillac Fleetwood Base
1993 Cadillac Fleetwood Brougham
1994 Chevrolet Blazer Base
1992-1993 Chevrolet Blazer Cheyenne
1987 Chevrolet Blazer Custom Deluxe
1988-1991 Chevrolet Blazer Scottsdale
1987-1994 Chevrolet Blazer Silverado
1994 Chevrolet Blazer Silverado Sport
1994-1995 Chevrolet C1500 Base
1988-1995 Chevrolet C1500 Cheyenne
1988-1992 Chevrolet C1500 Scottsdale
1988-1995 Chevrolet C1500 Silverado
1990-1995 Chevrolet C1500 WT
1992-1995 Chevrolet C1500 Suburban Base
1995 Chevrolet C1500 Suburban LS
1995 Chevrolet C1500 Suburban LT
1992-1994 Chevrolet C1500 Suburban Silverado
1994-1995 Chevrolet C2500 Base
1988-1995 Chevrolet C2500 Cheyenne
1988-1992 Chevrolet C2500 Scottsdale
1988-1995 Chevrolet C2500 Silverado
1994-1995 Chevrolet C2500 WT
1992-1995 Chevrolet C2500 Suburban Base
1995 Chevrolet C2500 Suburban LS
1995 Chevrolet C2500 Suburban LT
1992-1994 Chevrolet C2500 Suburban Silverado
1994-1995 Chevrolet C3500 Base
1988-1995 Chevrolet C3500 Cheyenne
1988-1992 Chevrolet C3500 Scottsdale
1988-1995 Chevrolet C3500 Silverado
1988 Chevrolet Camaro Base
1987-1990 Chevrolet Camaro Iroc-Z
1987 Chevrolet Camaro LT
1989-1992 Chevrolet Camaro RS
1992 Chevrolet Camaro RS Heritage Edition
1987 Chevrolet Camaro Sport
1987,1991-1992 Chevrolet Camaro Z28
1992 Chevrolet Camaro Z28 Heritage Edition
1987-1992 Chevrolet Caprice Base
1987-1993 Chevrolet Caprice Classic
1987-1990 Chevrolet Caprice Classic Brougham
1993 Chevrolet Caprice Classic LS
1987-1990 Chevrolet Caprice Classic LS Brougham
1991-1993 Chevrolet Caprice Classic LTZ
1988 Chevrolet Corvette 35th Anniversary Edition
1987-1991 Chevrolet Corvette Base
1987-1995 Chevrolet G10 Beauville
1987 Chevrolet G10 Bonaventure
1987-1995 Chevrolet G10 Chevy Van
1987-1995 Chevrolet G10 Sportvan
1987-1995 Chevrolet G20 Beauville
1987-1995 Chevrolet G20 Chevy Van
1987-1995 Chevrolet G20 Sportvan
1987-1996 Chevrolet G30 Beauville
1987-1996 Chevrolet G30 Chevy Van
1987-1996 Chevrolet G30 Hi-Cube
1987-1996 Chevrolet G30 Sportvan
1994-1995 Chevrolet K1500 Base
1988-1995 Chevrolet K1500 Cheyenne
1988-1992 Chevrolet K1500 Scottsdale
1988-1995 Chevrolet K1500 Silverado
1991 Chevrolet K1500 Sport
1990-1995 Chevrolet K1500 WT
1992-1995 Chevrolet K1500 Suburban Base
1995 Chevrolet K1500 Suburban LS
1995 Chevrolet K1500 Suburban LT
1992-1994 Chevrolet K1500 Suburban Silverado
1994-1995 Chevrolet K2500 Base
1988-1995 Chevrolet K2500 Cheyenne
1988-1992 Chevrolet K2500 Scottsdale
1988-1995 Chevrolet K2500 Silverado
1994-1995 Chevrolet K2500 WT
1992-1995 Chevrolet K2500 Suburban Base
1995 Chevrolet K2500 Suburban LS
1995 Chevrolet K2500 Suburban LT
1992-1994 Chevrolet K2500 Suburban Silverado
1994-1995 Chevrolet K3500 Base
1988-1995 Chevrolet K3500 Cheyenne
1988-1992 Chevrolet K3500 Scottsdale
1988-1995 Chevrolet K3500 Silverado
1987-1988 Chevrolet Monte Carlo Base
1987-1988 Chevrolet Monte Carlo LS
1987-1988 Chevrolet Monte Carlo SS
1987 Chevrolet R10 Custom Deluxe
1987 Chevrolet R10 Scottsdale
1987 Chevrolet R10 Silverado
1987 Chevrolet R10 Suburban Custom Deluxe
1987-1988 Chevrolet R10 Suburban Scottsdale
1987-1988 Chevrolet R10 Suburban Silverado
1989-1991 Chevrolet R1500 Suburban Scottsdale
1989-1991 Chevrolet R1500 Suburban Silverado
1988 Chevrolet R20 Cheyenne
1987-1988 Chevrolet R20 Custom Deluxe
1987-1988 Chevrolet R20 Scottsdale
1987-1988 Chevrolet R20 Silverado
1987 Chevrolet R20 Suburban Custom Deluxe
1987-1988 Chevrolet R20 Suburban Scottsdale
1987-1988 Chevrolet R20 Suburban Silverado
1989 Chevrolet R2500 Silverado
1989-1991 Chevrolet R2500 Suburban Scottsdale
1989-1991 Chevrolet R2500 Suburban Silverado
1988 Chevrolet R30 Cheyenne
1987-1988 Chevrolet R30 Custom Deluxe
1987-1988 Chevrolet R30 Scottsdale
1987-1988 Chevrolet R30 Silverado
1989-1991 Chevrolet R3500 Cheyenne
1989-1990 Chevrolet R3500 Scottsdale
1989-1991 Chevrolet R3500 Silverado
1995 Chevrolet Tahoe Base
1995 Chevrolet Tahoe LS
1995 Chevrolet Tahoe LT
1987 Chevrolet V10 Custom Deluxe
1987 Chevrolet V10 Scottsdale
1987 Chevrolet V10 Silverado
1987 Chevrolet V10 Suburban Custom Deluxe
1987-1988 Chevrolet V10 Suburban Scottsdale
1987-1988 Chevrolet V10 Suburban Silverado
1989-1991 Chevrolet V1500 Suburban Scottsdale
1989-1991 Chevrolet V1500 Suburban Silverado
1987 Chevrolet V20 Custom Deluxe
1987 Chevrolet V20 Scottsdale
1987 Chevrolet V20 Silverado
1987 Chevrolet V20 Suburban Custom Deluxe
1987-1988 Chevrolet V20 Suburban Scottsdale
1987-1988 Chevrolet V20 Suburban Silverado
1989-1991 Chevrolet V2500 Suburban Scottsdale
1989-1991 Chevrolet V2500 Suburban Silverado
1988 Chevrolet V30 Cheyenne
1987-1988 Chevrolet V30 Custom Deluxe
1987-1988 Chevrolet V30 Scottsdale
1987-1988 Chevrolet V30 Silverado
1989-1991 Chevrolet V3500 Cheyenne
1989-1990 Chevrolet V3500 Scottsdale
1989-1991 Chevrolet V3500 Silverado
1988-1993 GMC C1500 Sierra
1994-1995 GMC C1500 Sierra SL
1988-1995 GMC C1500 Sierra SLE
1994-1995 GMC C1500 Sierra SLT
1988-1993 GMC C1500 Sierra SLX
1994-1995 GMC C1500 Sierra Special
1992-1995 GMC C1500 Suburban Base
1992-1995 GMC C1500 Suburban SLE
1995 GMC C1500 Suburban SLT
1988-1993 GMC C2500 Sierra
1994-1995 GMC C2500 Sierra SL
1988-1995 GMC C2500 Sierra SLE
1994-1995 GMC C2500 Sierra SLT
1988-1993 GMC C2500 Sierra SLX
1992-1995 GMC C2500 Suburban Base
1992-1995 GMC C2500 Suburban SLE
1995 GMC C2500 Suburban SLT
1988-1993 GMC C3500 Sierra
1994-1995 GMC C3500 Sierra SL
1988-1995 GMC C3500 Sierra SLE
1994-1995 GMC C3500 Sierra SLT
1988-1993 GMC C3500 Sierra SLX
1987-1995 GMC G1500 Rally
1987-1995 GMC G1500 Rally STX
1987-1995 GMC G1500 Vandura
1987-1995 GMC G2500 Rally
1987-1995 GMC G2500 Rally STX
1987-1995 GMC G2500 Vandura
1987-1996 GMC G3500 Magnavan
1987-1996 GMC G3500 Rally
1987-1996 GMC G3500 Rally Camper Special
1987-1988 GMC G3500 Rally Custom
1987-1996 GMC G3500 Rally STX
1987-1996 GMC G3500 Vandura
1987-1996 GMC G3500 Vandura Special
1987-1991 GMC Jimmy Base
1987-1990 GMC Jimmy Sierra Classic
1988-1993 GMC K1500 Sierra
1994-1995 GMC K1500 Sierra SL
1988-1995 GMC K1500 Sierra SLE
1995 GMC K1500 Sierra SLS
1994-1995 GMC K1500 Sierra SLT
1988-1993 GMC K1500 Sierra SLX
1994-1995 GMC K1500 Sierra Special
1993 GMC K1500 Sierra Sport
1992-1995 GMC K1500 Suburban Base
1992-1995 GMC K1500 Suburban SLE
1995 GMC K1500 Suburban SLT
1988-1993 GMC K2500 Sierra
1994-1995 GMC K2500 Sierra SL
1988-1995 GMC K2500 Sierra SLE
1994-1995 GMC K2500 Sierra SLT
1988-1993 GMC K2500 Sierra SLX
1992-1995 GMC K2500 Suburban Base
1992-1995 GMC K2500 Suburban SLE
1995 GMC K2500 Suburban SLT
1988-1993 GMC K3500 Sierra
1994-1995 GMC K3500 Sierra SL
1988-1995 GMC K3500 Sierra SLE
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SKU: 6030479924

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4.7 ★★★★★
Based on 6 reviews
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Product Reviews
P
Verified Purchase
Par
Lowell, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Bozeman, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Alexandria, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
San Leandro, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Cuba, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

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