SKU: 6870007747

APEX Stud Kit | M12x1.50mm | 5-Lug 75mm long

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Description

APEX Stud Kit | M12x1.50mm | 5-Lug 75mm longAPEX Race Parts designs and manufactures high performance, flow formed and forged wheels for a growing list of vehicle makes. They are constantly expanding their product line with new wheel designs, wheel accessories and other performance and race parts. It is their mission to produce and distribute high quality performance parts that meet the demands of racing and street performance enthusiasts. PRODUCT INFORMATION Thread Pitch M12x1. 50mm Nut Type

APEX Race Parts designs and manufactures high performance, flow-formed and forged wheels for a growing list of vehicle makes. They are constantly expanding their product line with new wheel designs, wheel accessories and other performance and race parts. It is their mission to produce and distribute high-quality performance parts that meet the demands of racing and street performance enthusiasts.

PRODUCT INFORMATION

Thread Pitch M12x1.50mm
Nut Type 17mm Hex
Stud Type Hex Head
Hardware Seat 60° Conical
Length 75mm
Colour Black or Silver (Nut)
Grade 10.9
Quantity 20 Studs & 20 Nuts Per Kit

APEX BMW wheel stud kits are the perfect upgrade for any set of performance wheels. This wheel stud kit is for newer BMW models that require M14 sized studs such as the F30/F80 3 series. They feature a 5mm hex head for easier install. Use this kit to convert your 5 lug BMW from inconvenient lug bolts to stronger and safer wheel studs. These can be used with or without spacers, and are easy to install.

This kit includes 20 studs and 20 lug nuts. 

APPLICATION LIST

Please use the list below to help determine which thread pitch your vehicle uses for wheel lugs. If you have any questions or would like to confirm your selection prior to ordering, please feel free to contact us.

All E-chassis BMW models (Except E70 X5)
Lug Thread Pitch | M12x1.5mm

All F-chassis & G-chassis BMW models (and E70 X5) 
Lug Thread Pitch | M14x1.25mm

APEX WHEEL STUD KIT


Benefits of a Wheel Stud Conversion Kit

Try and find a BMW race car that hasn't converted to wheel studs yet with a stud conversion kit. They're stronger, safer, and improve pit stop times significantly.

For non-race cars, stud conversions still make wheel installation and removal much easier as you no longer have to line up the holes in your wheels, spacers, and hubs beforehand threading a single lug bolt through. Simply slide the wheel onto the studs, and let go. With lugs, an unsupported wheel will slip off the hub lip and fall onto the ground. With studs, there is enough length to float the wheel in place and in proper alignment. Sitting on the ground with your feet under the car, and supporting the wheel with your feet while you try and line everything up is a thing of the past.

Extended length wheel studs like these allow for a range of spacers to be used without any additional modification. You can easily use 3mm, 5mm, 10, and 12mm spacers with the 75mm studs. For 15mm, 18mm, 20mm, and 25mm spacers, the 90mm studs are required to allow for enough thread engagement. Either length kit can be used without spacers just as easily. When using lug bolts with spacers you are forced to purchase a different length lug for each width spacer as any spacer even 3mm thick is dangerous to use with the short thread OEM BMW lug hardware. Why own a bucket full of lugs when a single set of studs can do it all?

By remaining installed, studs will put less wear on the threads of your hubs. They guarantee there is enough thread engagement, as you can see how many threads were engaged during install.

Wheel studs replace your OEM lug bolts by simply threading into your car's hub. Once installed they do not need to be removed when changing or removing wheels. Only the lug nuts are removed similar to many domestic and import vehicles.

APEX Stud Kit Specifications

  • APEX Wheel studs are manufactured by an TUV certified OEM supplier in Europe.
  • 75mm length allows for the use of spacers up to 12mm in thickness safely, or no spacer at all, without making any hardware changes.
  • Stud tip includes a 5mm hex to allow for faster installation. Install kit including 5mm allen wrench and red thread locker sold separately.
  • Studs are 10.9 grade and cold forged from steel wire.
  • Studs and nuts are M14x1.25 thread with a 60 degree taper identical to OEM BMW hardware.
  • Studs are black zinc plated

Models
  • 1 Series / E82 / E88 (2007-2013) / 1 Series M (1M)
  • 1 Series / E82 / E88 (2007-2013) / 135i N54
  • 1 Series / E82 / E88 (2007-2013) / 135i N55
  • 1 Series / E82 / E88 (2007-2013) / 125i
  • 1 Series / E82 / E88 (2007-2013) / 120i
  • 1 Series / E87 (2004-2011) / 130i
  • 1 Series / E87 (2004-2011) / 120i
  • 1 Series / E87 (2004-2011) / 118i
  • 1 Series / E87 (2004-2011) / 116i
  • 1 Series / E87 (2004-2011) / 123d
  • 1 Series / E87 (2004-2011) / 120d
  • 1 Series / E87 (2004-2011) / 118d
  • 3 Series / E30 (1984-1994) / M3
  • 3 Series / E36 (1991-1999) / M3
  • 3 Series / E36 (1991-1999) / 328i
  • 3 Series / E36 (1991-1999) / 325i
  • 3 Series / E36 (1991-1999) / 320i
  • 3 Series / E36 (1991-1999) / 323i
  • 3 Series / E36 (1991-1999) / 318is
  • 3 Series / E36 (1991-1999) / 318i
  • 3 Series / E36 (1991-1999) / 316i
  • 3 Series / E36 (1991-1999) / 323ti
  • 3 Series / E36 (1991-1999) / 318ti
  • 3 Series / E46 (1998-2006) / M3
  • 3 Series / E46 (1998-2006) / M3 CSL
  • 3 Series / E46 (1998-2006) / 330i / 330Ci
  • 3 Series / E46 (1998-2006) / 328i / 328Ci
  • 3 Series / E46 (1998-2006) / 325i / 325Ci
  • 3 Series / E46 (1998-2006) / 323i / 323Ci
  • 3 Series / E46 (1998-2006) / 320i / 320Ci
  • 3 Series / E46 (1998-2006) / 318i
  • 3 Series / E46 (1998-2006) / 325ti
  • 3 Series / E46 (1998-2006) / 318ti
  • 3 Series / E46 (1998-2006) / 316ti
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / M3
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 335i N54
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 335i N55
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 330i
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 325i
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 323i
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 320i
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 320d
  • 3 Series / E90 / E91 / E92 / E93 (2005-2013) / 330d
  • 5 Series / E28 (1981-1988) / M5
  • 5 Series / E28 (1981-1988) / M535i
  • 5 Series / E28 (1981-1988) / 535i
  • 5 Series / E28 (1981-1988) / 533i
  • 5 Series / E28 (1981-1988) / 528e
  • 5 Series / E28 (1981-1988) / 528i
  • 5 Series / E28 (1981-1988) / 525e
  • 5 Series / E28 (1981-1988) / 525i
  • 5 Series / E28 (1981-1988) / 520i
  • 5 Series / E28 (1981-1988) / 518i
  • 5 Series / E34 (1988-1996) / M5
  • 5 Series / E34 (1988-1996) / 540i
  • 5 Series / E34 (1988-1996) / 535i
  • 5 Series / E34 (1988-1996) / 530i
  • 5 Series / E34 (1988-1996) / 525i
  • 5 Series / E34 (1988-1996) / 520i
  • 5 Series / E34 (1988-1996) / 518i
  • 5 Series / E39 (1995-2003) / M5
  • 5 Series / E39 (1995-2003) / 540i
  • 5 Series / E39 (1995-2003) / 535i
  • 5 Series / E39 (1995-2003) / 530i
  • 5 Series / E39 (1995-2003) / 528i
  • 5 Series / E39 (1995-2003) / 525i
  • 5 Series / E39 (1995-2003) / 523i
  • 5 Series / E60 / E61 (2003-2010) / M5
  • 5 Series / E60 / E61 (2003-2010) / 550i
  • 5 Series / E60 / E61 (2003-2010) / 545i
  • 5 Series / E60 / E61 (2003-2010) / 540i
  • 5 Series / E60 / E61 (2003-2010) / 530i
  • 5 Series / E60 / E61 (2003-2010) / 525i
  • 5 Series / E60 / E61 (2003-2010) / 523i
  • 5 Series / E60 / E61 (2003-2010) / 530d
  • 5 Series / E60 / E61 (2003-2010) / 520d
  • 6 Series / F06 / F12 / F13 (2011-2018) / M6
  • 6 Series / F06 / F12 / F13 (2011-2018) / 650i
  • 6 Series / F06 / F12 / F13 (2011-2018) / 640i
  • 6 Series / F06 / F12 / F13 (2011-2018) / 640d
  • 7 Series / E23 (1977-1987) / 745i
  • 7 Series / E23 (1977-1987) / 735i
  • 7 Series / E23 (1977-1987) / 733i
  • 7 Series / E23 (1977-1987) / 728i
  • 7 Series / E32 (1986-1994) / 750i / 750iL
  • 7 Series / E32 (1986-1994) / 740i / 740iL
  • 7 Series / E32 (1986-1994) / 735i / 735iL
  • 7 Series / E32 (1986-1994) / 730i
  • 7 Series / E38 (1994-2001) / L7
  • 7 Series / E38 (1994-2001) / 750i / 750iL
  • 7 Series / E38 (1994-2001) / 740i / 740iL
  • 7 Series / E38 (1994-2001) / 735i / 735iL
  • 7 Series / E38 (1994-2001) / 730i / 730iL
  • 7 Series / E65 / E66 (2001-2008) / 760Li
  • 7 Series / E65 / E66 (2001-2008) / 750i / 750Li
  • 7 Series / E65 / E66 (2001-2008) / 745i / 745Li
  • 7 Series / E65 / E66 (2001-2008) / 740i / 740Li
  • 7 Series / E65 / E66 (2001-2008) / 735i / 735Li
  • 8 Series / E31 (1990-1999) / 850CSi
  • 8 Series / E31 (1990-1999) / 850Ci
  • 8 Series / E31 (1990-1999) / 850i
  • 8 Series / E31 (1990-1999) / 840Ci
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3M
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3 3.0i
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3 2.8i
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3 2.2i
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3 2.0i
  • Z Series / E36/7/8 Z3 (1995-2002) / Z3 1.9i
  • Z Series / E52 Z8 (1999-2002) / Z8
  • Z Series / E52 Z8 (1999-2002) / ALPINA Z8
  • Z Series / E85 / E86 Z4 (2002-2008) / Z4M
  • Z Series / E85 / E86 Z4 (2002-2008) / Z4 3.0Si
  • Z Series / E85 / E86 Z4 (2002-2008) / Z4 3.0i
  • Z Series / E85 / E86 Z4 (2002-2008) / Z4 2.5Si
  • Z Series / E85 / E86 Z4 (2002-2008) / Z4 2.5i
  • Z Series / E89 Z4 (2009-2016) / Z4 35is
  • Z Series / E89 Z4 (2009-2016) / Z4 35i
  • Z Series / E89 Z4 (2009-2016) / Z4 30i
  • Z Series / E89 Z4 (2009-2016) / Z4 28i
  • Z Series / E89 Z4 (2009-2016) / Z4 23i
  • Z Series / E89 Z4 (2009-2016) / Z4 20i

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    SKU: 6870007747

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    4.1 ★★★★★
    Based on 7 reviews
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    Product Reviews
    A
    Amazon Customer
    Belleville, US
    ★★★★★ 5
    Great book
    Format: Paperback
    Got this for my son and helped him finish coding his game although it takes some time to learn it I definitely recommend this book
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on September 21, 2024
    T
    Verified Purchase
    Tyler Backus
    Boise, US
    ★★★★★ 1
    Out of date and just plain not good instruction
    Format: Kindle
    This has problems that I have seen from many non-educators when they write an instructional book (so I hope she is not an actual educator). The book makes leaps of faith of knowledge and has a belief that they have shown you well enough to do one thing (which it doesn't) and that you can extrapulate from that knowledge to do something completely different. They makes these leaps of faith in the first couple hours, when people are just getting used to coding in this language. This book also fails to even tell you what different parts of the code are doing, so that you can make those leaps of knowledge. I also find this happens a lot when people write coding books. They know how to code, so they figure if they just show you parts of a code you will figure out why it did what it did, instead of explaining to you what different parts of code actually do when you put them together. I made it almost through hour two before I gave up trying to decipher all the nonsense that was written in this book. In hour two they have you make a sphere, but never actually show you how to make the sphere, but then start telling you how to create dialog for the sphere. Apparently in hour 1, even though it was never explained, I was supposed to understand how to make a lava field with objects.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on May 11, 2024
    J
    Verified Purchase
    Josh D
    Boise, US
    ★★★★★ 5
    Must-read book for everyone (not just Ai proponents)
    Format: Paperback
    I realize I say this about every AI book I read, but this one really is the best (so far), and most important in my view."Atlas of AI" by Kate Crawford is a well-researched work that should appeal to AI enthusiasts and opponents alike; not because it flatters either side, but because it challenges both to think beyond the usual narratives. Whether you see Ai as a revolutionary tool for progress or a dystopian force of unchecked power, there’s no denying that it it is shaped by real-world systems of labor, industry, and politics.This book makes it clear: Ai is not just about algorithms and efficiency. It is about power: who wields it, who profits from it, and who is left to bear its costs. For those who celebrate Ai’s potential (like me), Atlas of AI offers a sobering look at the material and ethical realities behind the inertia and hype.For those who critique AI as a damaging or dystopian force, the book provides a well-researched (eye-opening) foundation for those concerns.What makes it especially compelling is that it doesn’t fall into the trap of alarmism OR blind optimism. Instead, Crawford takes us on a deep, methodical journey through the infrastructures that sustain artificial intelligence, revealing the hidden costs (labor, environmental, political) that come with EVERY so-called innovation.**Deconstructing the Myths of AI**One of the book’s greatest strengths is its ability to cut through the persistent myths surrounding artificial intelligence. Crawford systematically dismantles the notion that AI is a purely immaterial, frictionless technology. She examines the vast mining operations necessary to produce hardware, the exploitative labor practices behind data annotation, and the enormous energy demands of AI training model. Ai, in her analysis, is not an autonomous or inevitable force—it is an industrial system deeply intertwined with capitalism, surveillance, and environmental degradation (much of her research applies to Big Tech, and not just Ai). This perspective is crucial in an era where Ai is often presented as a revolutionary technology that exists outside of history and politics.Crawford makes it clear that Ai is not “just math” but a political tool wielded by those in power, often reinforcing existing inequalities. The Ethics of Extraction and Control: One of Crawford's most compelling arguments is the framing of AI as an extractive industry: one that harvests resources, labor, and data in much the same way as colonial enterprises have in the past.The book traces how Ai development is dependent on resource-intensive practices, from lithium mining for hardware to the invisible armies of low-wage workers tasked with cleaning and labeling data. Crawford argues Ai is a system built on the extraction of value from the most vulnerable populations, whether they be gig workers, Amazon's "Mechanical Turk" laborers, or the communities living in the shadow of server farms that consume enormous amounts of water and energy.Crawfors cites numerous examples of how corporations like Google and Amazon, and even the government, skirt the system to save on taxes, while promising better futures to the resource-rich communities they exploit. The theme of extraction extends beyond the physical to the digital realm.Crawford shows how personal data is commodified under the guise of “training AI,” reinforcing the asymmetrical relationship between those who generate data and those who profit from it.The book’s critique aligns with broader concerns about surveillance capitalism, demonstrating how Ai is often wielded as a means of control rather than liberation. (I learned some sad truths about local community policing and Ai) AI and the Politics of Classification Crawford explores how classification systems, often presented as objective/neutral, are deeply embedded with biases. Ai systems are trained on datasets shaped by human prejudices, yet are frequently deployed as infallible arbiters of truth. Crawford examines how facial recognition, predictive policing, and automated hiring systems encode and reinforce racial, gendered, and socioeconomic biases, often amplifying systemic discrimination. This analysis is particularly relevant in today’s discussions on AI ethics. Crawford’s work underscores that Ai bias is not simply a technical glitch to be fixed, but rather a feature of the broader political and economic structures that Ai is designed to serve. A Necessary and Timely Intervention For those who have followed debates on Ai ethics, surveillance capitalism, and data justice, Atlas of AI provides a well-researched and compelling synthesis of these concerns, free from the noise we commonly hear on social media outlets. It is particularly valuable in challenging the mainstream, corporate-driven narratives that portray Ai as an inevitable and benign technological force. Crawford’s writing is insightful, well-documented, and accessible, making complex ideas understandable without sacrificing depth. While the book is critical in tone, it does not merely scold Ai developers; rather, it offers a crucial intervention in ongoing discussions about how Ai is developed, deployed, and governed.The book had a surprisingly anti-capitalist/anti-technocratic tone, that inspired me to continue learning/aligning under the anti-fascist flag so many of us wield. For artists, researchers, and technologists (especially those working at the intersection of Ai and creative expression) Atlas of Ai serves as a stark and vital reminder that technology is never neutral. It invites us to think critically about the systems we engage with and the ethical implications of our participation in Ai-driven ecosystems (and really, all major technologies). Atlas of AI is an essential read for anyone interested in understanding the broader implications of artificial intelligence beyond the hype. It moves beyond discussions of algorithms and model accuracy to examine the power structures that shape Ai’s impact on society. By reframing AI as a material and political phenomenon rather than a disembodied technological marvel, Crawford provides a necessary course-correction to the dominant narratives surrounding Ai. This book is not just for AI skeptics but for anyone who wants to engage in a deeper, more nuanced conversation about the technology shaping our present and future. If we are to meaningfully confront the challenges AI presents, we need more books that challenge us to think critically, demand accountability, and advocate for more just and equitable technological futures. For those of us who engage with AI,whether as artists, researchers, developers, or critics, Atlas of AI should serve as a wake-up call. Too often, Ai artists defend the technology out of pride or personal investment, dismissing valid ethical concerns as fear-mongering. On the other side, anti-AI voices often resist engagement with nuance, preferring to frame Ai as an existential threat rather than a tool shaped by human systems of power. Both of these stances miss the point. Crawford makes it clear that the real battle isn’t Ai vs. artists or progress vs. tradition, it’s about who controls the technology, who benefits from it, and who is left to suffer the consequences. If we are serious about the future of art, technology, and creative autonomy, we must move beyond our egos and engage critically with the systems that shape Ai. This book gives us all a foundation to unify under, not in opposition to Ai itself, but in opposition to the unchecked power structures that exploit it and us.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 6, 2025
    J
    Verified Purchase
    Jeff Jenner
    Whiting, US
    ★★★★★ 5
    I wish Americans could read Kate Crawford’s book
    Format: Kindle
    It is a sad bit of irony that the “information revolution” has created a society in which the vast majority of Americans don’t know where their food or water come from. “I don’t get all this talk about drought. You just turn on the faucet and get all the water you want.” It’s no wonder that we’ve created an entire generation of Americans who have no idea where their computing resources come from. “I don’t get all this ‘cost of AI’ talk. ChatGPT is free. Just open your iphone and it will answer any question you have.” While Crawford’s Atlas of AI is a bit sesquipedalian, it is a comprehensive, well-organized, impeccably researched story of where all our miraculous computing power actually comes from. For all the Doomer talk of AI someday making humans extinct, Crawford shows that the way the most powerful American corporations are implementing AI is ALREADY causing vast harm to humans globally, and it will only continue to get worse. Not from some mythical science fiction robot suddenly becoming smarter than people, but from mass ignorance of the slow but steady human-driven global natural resource depletion and exploitation of the most vulnerable people. It’s doubly sad that our polarized culture war politics prevents most Americans from asking the critical questions that Crawford explores in her journey through the landscape of AI creation and production. This book is neither Marxist nor anti-capitalist. It simply argues that, just like there are better ways of managing our water and food resources, there is a better way to manage our computing resources—the first step being a common understanding that there is a natural resource and human cost to every floating point operation that a computer performs. I wish that Americans were able to read, understand, and appreciate such an important analysis of the biggest problem that will confront humans in the next few decades.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on December 3, 2025
    T
    Verified Purchase
    Thomas
    Los Angeles, US
    ★★★★★ 4
    Removing data from databases or datasets.
    Format: Kindle
    If the share a video or photo option was working I would share the screenshot. However, I'll quote it. "Most of the adults on the list had never been charged, but once they were included, ther was no way to have their name removed." This needs more clarification as you can delete data from a database. Especially if web based, there should be CRUD principles added. If that was not the case there's still ways to delete the data or even change it's classification. I will give benefit of the doubt that there's an underlying reason it was said there was no way to remove or that I even misunderstood the context around it. Just seems a little like reaching by this point. Also, I do like this book and a fresh perspective on data collection even though at times it seems to read a little emotional for what I was expecting of an Atlas. Regardless looking past the verbiage of emotions, this is a great book that does point out a lot of history with AI. Thank you for creating this book! Also giving more data to the internet to be used for.... AI... lol
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 27, 2024

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