SKU: 61723349693

Edelbrock 396-454 Hi-Perf St Pump

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Description

Edelbrock 396-454 Hi-Perf St PumpEdelbrock part #1722 Performer RPM Series fuel pump is for Big Block Chevrolet designed for use with all Edelbrock carburetors used in Performer or Performer RPM applications. These high performance's street Fuel Pumps feature a high quality three stage polished finish. The unique valve design improves flow quantity and quality, and will support engines up to 600 hp. High volume, 3 8" NPT inlet and outlet surpasses the capacity of conventional models.

Edelbrock part #1722 Performer RPM Series fuel pump is for Big-Block Chevrolet designed for use with all Edelbrock carburetors used in Performer or Performer RPM applications. These high-performance's street Fuel Pumps feature a high quality three stage polished finish. The unique valve design improves flow quantity and quality, and will support engines up to 600 hp. High-volume, 3/8" NPT inlet and outlet surpasses the capacity of conventional models. Produces 6 psi and does not require a regulator. Use with gasoline only. Clockable lower housing can be rotated in 60 Deg Increments for best inlet/outlet alignment.

  • Gasoline Or Mixed Fuels Only

This Part Fits:

Year Make Model Submodel
1963,1965-1975 Chevrolet Bel Air Base
1963,1965-1972 Chevrolet Biscayne Base
1973 Chevrolet Blazer Base
1969-1972 Chevrolet Brookwood Base
1978-1980 Chevrolet C10 Big Ten
1975-1980 Chevrolet C10 Cheyenne
1975-1980 Chevrolet C10 Custom Deluxe
1975-1980 Chevrolet C10 Scottsdale
1975-1980 Chevrolet C10 Silverado
1968-1974 Chevrolet C10 Pickup Base
1968-1974 Chevrolet C10 Suburban Base
1975-1980 Chevrolet C10 Suburban Custom Deluxe
1975-1980 Chevrolet C10 Suburban Scottsdale
1975-1980 Chevrolet C10 Suburban Silverado
1975-1981 Chevrolet C20 Cheyenne
1981-1986 Chevrolet C20 Custom
1975-1980 Chevrolet C20 Custom Deluxe
1981 Chevrolet C20 Deluxe
1975-1986 Chevrolet C20 Scottsdale
1975-1986 Chevrolet C20 Silverado
1968-1974 Chevrolet C20 Pickup Base
1968-1974 Chevrolet C20 Suburban Base
1981-1986 Chevrolet C20 Suburban Custom
1975-1980 Chevrolet C20 Suburban Custom Deluxe
1981 Chevrolet C20 Suburban Deluxe
1975-1980,1982,1984-1986 Chevrolet C20 Suburban Scottsdale
1975-1977,1979-1980,1982-1986 Chevrolet C20 Suburban Silverado
1975-1981 Chevrolet C30 Cheyenne
1981-1986 Chevrolet C30 Custom
1975-1980 Chevrolet C30 Custom Deluxe
1981 Chevrolet C30 Deluxe
1975-1986 Chevrolet C30 Scottsdale
1975-1986 Chevrolet C30 Silverado
1968-1974 Chevrolet C30 Pickup Base
1967,1969-1972 Chevrolet Camaro Base
1967,1969-1972 Chevrolet Camaro RS
1967-1972 Chevrolet Camaro SS
1970-1972 Chevrolet Camaro Z28
1966-1972 Chevrolet Caprice Base
1973-1976 Chevrolet Caprice Classic
1976 Chevrolet Caprice Classic Estate
1976 Chevrolet Caprice Classic Landau
1975-1976 Chevrolet Caprice Classic Sport
1973-1974 Chevrolet Caprice Estate
1975 Chevrolet Caprice Estate Wagon
1965-1966,1968 Chevrolet Chevelle 300
1967-1969 Chevrolet Chevelle 300 Deluxe
1970-1972 Chevrolet Chevelle Base
1967-1972 Chevrolet Chevelle Concours
1969-1972 Chevrolet Chevelle Concours Estate
1973 Chevrolet Chevelle Deluxe
1969-1972 Chevrolet Chevelle Greenbrier
1973 Chevrolet Chevelle Laguna
1973 Chevrolet Chevelle Laguna Estate
1974-1975 Chevrolet Chevelle Laguna Type S-3
1965-1974 Chevrolet Chevelle Malibu
1974-1975 Chevrolet Chevelle Malibu Classic
1974 Chevrolet Chevelle Malibu Classic Estate
1973 Chevrolet Chevelle Malibu Estate
1965 Chevrolet Chevelle Malibu Super Sport
1968-1972 Chevrolet Chevelle Nomad
1971-1972 Chevrolet Chevelle SS
1967-1970 Chevrolet Chevelle SS 396
1966 Chevrolet Chevelle Super Sport 396
1968 Chevrolet Chevy II Nova
1965-1974 Chevrolet Corvette Base
1966-1975 Chevrolet El Camino Base
1968-1974 Chevrolet El Camino Custom
1968-1974 Chevrolet El Camino SS
1969-1970 Chevrolet Estate Base
1973-1974 Chevrolet G10 Van Base
1976 Chevrolet G20 Beauville
1976 Chevrolet G20 Chevy Van
1973-1974 Chevrolet G20 Van Base
1973-1974 Chevrolet G20 Van Sportvan
1975-1976 Chevrolet G30 Beauville
1975-1976 Chevrolet G30 Chevy Van
1975-1976 Chevrolet G30 Hi-Cube
1973-1974 Chevrolet G30 Van Base
1963,1965-1976 Chevrolet Impala Base
1975-1976 Chevrolet Impala Custom
1976 Chevrolet Impala Custom Landau
1976 Chevrolet Impala S
1975-1976 Chevrolet Impala Sport
1965-1967 Chevrolet Impala SS
1976,1979-1980 Chevrolet K10 Cheyenne
1976,1979-1980 Chevrolet K10 Custom Deluxe
1976,1979-1980 Chevrolet K10 Scottsdale
1976,1979-1980 Chevrolet K10 Silverado
1968-1972,1974 Chevrolet K10 Pickup Base
1968-1972 Chevrolet K10 Suburban Base
1976-1978,1980 Chevrolet K20 Cheyenne
1976-1978,1980 Chevrolet K20 Custom Deluxe
1976-1978,1980 Chevrolet K20 Scottsdale
1976-1978,1980 Chevrolet K20 Silverado
1968-1974 Chevrolet K20 Pickup Base
1968-1973 Chevrolet K20 Suburban Base
1985 Chevrolet K20 Suburban Custom
1985 Chevrolet K20 Suburban Scottsdale
1985 Chevrolet K20 Suburban Silverado
1977,1980-1981 Chevrolet K30 Cheyenne
1981-1986 Chevrolet K30 Custom
1977,1980 Chevrolet K30 Custom Deluxe
1981 Chevrolet K30 Deluxe
1977,1980-1986 Chevrolet K30 Scottsdale
1977,1980-1986 Chevrolet K30 Silverado
1968-1974 Chevrolet K30 Pickup Base
1976 Chevrolet K5 Blazer Base
1976-1978 Chevrolet K5 Blazer Cheyenne
1977-1978 Chevrolet K5 Blazer Custom Deluxe
1978 Chevrolet K5 Blazer Silverado
1969-1972 Chevrolet Kingswood Base
1969-1972 Chevrolet Kingswood Estate
1970-1974 Chevrolet Monte Carlo Base
1973-1974 Chevrolet Monte Carlo Landau
1973,1975 Chevrolet Monte Carlo S
1969-1972 Chevrolet Nova Base
1973 Chevrolet P10 Van Base
1976,1979 Chevrolet P20 Base
1976,1979 Chevrolet P20 Step-Van
1970-1971,1973 Chevrolet P20 Van Base
1975-1989 Chevrolet P30 Base
1975-1985,1987-1989 Chevrolet P30 Step-Van
1970-1974 Chevrolet P30 Van Base
1988 Chevrolet R30 Cheyenne
1987-1988 Chevrolet R30 Custom Deluxe
1987-1988 Chevrolet R30 Scottsdale
1987-1988 Chevrolet R30 Silverado
1989 Chevrolet R3500 Cheyenne
1989 Chevrolet R3500 Scottsdale
1989 Chevrolet R3500 Silverado
1969-1972 Chevrolet Townsman Base
1988 Chevrolet V30 Cheyenne
1987-1988 Chevrolet V30 Custom Deluxe
1987-1988 Chevrolet V30 Scottsdale
1987-1988 Chevrolet V30 Silverado
1989 Chevrolet V3500 Cheyenne
1989 Chevrolet V3500 Scottsdale
1989 Chevrolet V3500 Silverado
1975-1978 GMC C15 Base
1977-1978 GMC C15 Heavy Half
1975-1978 GMC C15 High Sierra
1977 GMC C15 Indy Hauler
1975-1978 GMC C15 Sierra Classic
1975-1978 GMC C15 Sierra Grande
1978 GMC C15 Street Coupe
1975-1978 GMC C15 Suburban Base
1975-1978 GMC C15 Suburban High Sierra
1975-1978 GMC C15 Suburban Sierra Classic
1975-1978 GMC C15 Suburban Sierra Grande
1968-1974 GMC C15/C1500 Pickup Base
1968-1974 GMC C15/C1500 Suburban Base
1979-1980 GMC C1500 Base
1979-1980 GMC C1500 Heavy Half
1979-1980 GMC C1500 High Sierra
1979-1980 GMC C1500 Sierra Classic
1979-1980 GMC C1500 Sierra Grande
1979-1980 GMC C1500 Street Coupe
1979-1980 GMC C1500 Suburban Base
1979-1980 GMC C1500 Suburban High Sierra
1979-1980 GMC C1500 Suburban Sierra Classic
1979-1980 GMC C1500 Suburban Sierra Grande
1975-1978 GMC C25 Base
1975-1978 GMC C25 High Sierra
1975-1978 GMC C25 Sierra Classic
1975-1978 GMC C25 Sierra Grande
1975-1978 GMC C25 Suburban Base
1975-1978 GMC C25 Suburban High Sierra
1975-1978 GMC C25 Suburban Sierra Classic
1975-1978 GMC C25 Suburban Sierra Grande
1968-1974 GMC C25/C2500 Pickup Base
1968-1972,1974 GMC C25/C2500 Suburban Base
1979-1986 GMC C2500 Base
1979-1986 GMC C2500 High Sierra
1979-1986 GMC C2500 Sierra Classic
1979-1982 GMC C2500 Sierra Grande
1979-1986 GMC C2500 Suburban Base
1979-1986 GMC C2500 Suburban High Sierra
1979-1986 GMC C2500 Suburban Sierra Classic
1979-1982 GMC C2500 Suburban Sierra Grande
1975-1978 GMC C35 Base
1975-1978 GMC C35 High Sierra
1975-1978 GMC C35 Sierra Classic
1975-1978 GMC C35 Sierra Grande
1968-1974 GMC C35/C3500 Pickup Base
1979-1986 GMC C3500 Base
1979-1986 GMC C3500 High Sierra
1979-1986 GMC C3500 Sierra Classic
1979-1982 GMC C3500 Sierra Grande
1975-1976 GMC G25 Rally
1975-1976 GMC G25 Rally STX
1976 GMC G35 Magnavan
1973,1976 GMC Jimmy Base
1976 GMC Jimmy High Sierra
1976 GMC Jimmy Sierra Classic
1976 GMC Jimmy Sierra Grande
1976 GMC K15 Base
1976 GMC K15 High Sierra
1976 GMC K15 Sierra Classic
1976 GMC K15 Sierra Grande
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SKU: 61723349693

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4.2 ★★★★★
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NehSin
Carnegie, US
★★★★★ 5
Must read - Insightful and Trusted
Format: Paperback
Reading “Reshuffle” was both intellectually energizing and personally relevant for me. Sangeet Paul Choudary’s work is more than just a business strategy manual, it’s a lucid roadmap for thriving amid constant change. Having spent the past decade steering our teams through multiple waves of technological disruption, I recognized my own journey in Choudary’s stories of platform transformation. His concepts of “connectors” and “combinators” spoke directly to challenges I’ve faced: breaking down silos, fostering creative recombination of ideas, and unlocking new sources of value in our organization. There were moments while reading when I paused, reflected on recent strategy sessions, and realized how much we could benefit from the frameworks outlined here. What truly set “Reshuffle” apart for me was Choudary’s ability to tie cutting-edge AI trends to everyday executive decisions. When he wrote about the collision between legacy content pipelines and new generative workflows, it echoed conversations I’ve had with other executives. “Reshuffle” reminded me that constant evolution isn’t just a necessity, it’s an opportunity to lead with optimism and vision. Choudary’s voice is empathetic, insightful, and refreshingly practical, making the book feel like advice from a trusted colleague as much as a renowned thought leader. In short, “Reshuffle” is a must-read for anyone tasked with steering a tech company through turbulent times. For me, it has become a personal touchstone for navigating and embracing what’s next.
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Reviewed in the United States on August 20, 2025
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Verified Purchase
Renato Beninatto
Whiting, US
★★★★★ 5
Finally, a framework that makes sense of AI's impact on knowledge work
Format: Kindle
Most books about AI focus on task automation and productivity gains. Reshuffle does something different: it explains how AI restructures entire systems through three constraints: tasks, coordination, and risk. For someone working in the language services industry, this book was revelatory. It helped me understand why so many conversations about AI and translation feel misdirected. We debate whether AI will replace translators when the real question is: how will AI reshuffle who creates value in language services? Choudary's central insight is that when AI removes old constraints (like scarcity of expertise), value doesn't disappear. It migrates to new coordination and risk management challenges. This applies across all knowledge professions, not just translation. Section 2 on knowledge work is particularly strong. It shows that lawyers, consultants, accountants, and translators are all experiencing the same fundamental transformation. We're not uniquely vulnerable; we're part of a larger reshuffling of how knowledge creates value. If you're trying to position yourself or your organization for what's coming, this book offers the clearest framework I've found. It's not about having better AI tools. It's about understanding where value pools are forming in the new system. Recommended for anyone in knowledge work who wants to move beyond surface-level AI discussions.
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Reviewed in the United States on January 25, 2026
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Verified Purchase
Amazon Customer
Cuba, US
★★★★★ 5
Not like any other how-to book on AI--Eric Swanson's Review
Format: Kindle
Reshuffle is not another “how to use AI” guide. It’s a powerful, big-picture look at how AI is reshaping the very foundations of the knowledge economy. Sangeet doesn’t just explore tools—he reveals the tectonic shifts in how knowledge is created, distributed, and valued. Most people use AI to improve old systems; this book shows why the winners will be those who understand and adapt to entirely new ones. Using powerful examples from history, like the bar code, container boxes and the Maginot Line, Sangeet creates powerful frames for new ways of thinking. Insightful, clear, and compelling, Reshuffle is essential reading for anyone who wants to lead in the age of AI
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Reviewed in the United States on July 23, 2025
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Verified Purchase
PG
West Palm Beach, US
★★★★★ 5
Would your card still be in the deck after the AI reshuffle?
Format: Paperback
AI’s impact on knowledge workers, and on enterprises, is immense. “Good enough” and inexpensive answers now abound, and the premium once commanded by knowledge workers seems to be slipping away. Enterprises are pinning their hopes on AI-driven efficiencies to stay competitive and relevant. Emotions surrounding this technological breakthrough range from doom and gloom to glee and hope. Sangeet’s Reshuffle helps build a mental model to understand, navigate, and survive this change, and even thrive in it. It’s a refreshing departure from the usual first-order effects and fallacies that dominate social and print media. For knowledge workers, staying relevant is becoming increasingly difficult, especially as the very definition of “relevance” evolves. Simply acquiring AI skills may not suffice if the underlying value of those skills has shifted. Judgment, systems thinking, and coordination will become more valuable. Remaining well-paid and autonomous will require protecting and growing contextual and economic value within this transformed system. Simple, but not easy. At the enterprise level, applying AI for task-based efficiencies in one area often shifts constraints elsewhere. Using systems thinking and positioning AI as the engine, not merely a tool, for innovation and coordination across the value chain will give enterprises a fighting chance to stay competitive. While the metaphorical pie may grow, simply “playing the same game better” won’t earn you a proportional share of it. Existing systems will be unbundled and re-bundled into offerings that solve emerging constraints. Coordinating across the value chain and taking responsibility for delivering customer outcomes will be key to unlocking outsized gains.
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Reviewed in the United States on October 29, 2025
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Verified Purchase
Saar Ben-Attar
Belleville, US
★★★★★ 5
A great addition to my Kindle library and a candidate to our Best Book Picks of 2025.
Format: Kindle
In setting the scene, Sangeet reminds us that, in the 1960s, Singapore was a struggling port city with limited natural resources and a rather tenuous future. It's hard to imagine but true. A strategic location in South East Asia. But such location meant little if it could not draw talent and capital to develop the infrastructure needed to grow, and here a deceptively simple and modular invention helped - the shipping container. Harvard Professor Carliss Y. Baldwin, in her book Design Rules, shared with us how technology shapes organisations, indeed entire industries and societal structures, and so, as we envision and put a technology to use, who decide how organisations are shaped, who governs them, and where power and agency lies.  Yet AI is not just any other technology. We are not in full control of the technology and its power to learn, re-shape itself, and its impact on the nature of work therefore extends well beyond the individual using AI tools. This is where Sangeet takes us, into a hugely relevant and timely discussion of how AI presents immense opportunities as well as grave risks to the knowledge economy, as we know it today. The questions raised are profound: among these... - How would power shift from the current ways of work we are accustomed to, towards autonomous networks that make decisions and learn on their own (and faster than us)? - Which organizational models best capture the shifts towards AI-supported value creation? and what path could such a transition follow? - How would these impact the opportunities and risks for collaboration, within and beyond the enterprise?  A whole chapter is dedicated to strategy, and deservedly so. AI in itself does not provide a competitive advantage. Let’s not rush to appoint a Chief AI Officers or draw-up a so-called AI-strategy, for what is essentially a set of widely distributed and accessible technologies. We need a business strategy that acknowledges the deep impacts AI is and will continue to make. Before we rush to layer AI on top of org. processes and models that have served us in previous generations, let’s take an ecosystem-wide view and ask - where are we now? What is fundamentally changing, and Where can we harness its trends towards an advantage? Having read Sangeet's book, my advice is this - seize the opportunity, invite others to the conversation and be open to new forms of power and control, as the organisations that win tomorrow are already experimenting in doing things differently today. A great addition to my Kindle library and a candidate to our Best Book Picks of 2025.
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Reviewed in the United States on August 15, 2025

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