Your SSD has a hidden setting that extends its lifespan


Most SSD advice is centered around buying the fastest drive you can afford, even if that usually means the most expensive SSD (which isn’t worth it, by the way). You’ll also hear about keeping enough space and replacing the SSD when it starts acting up. But many SSDs also have access to a longevity trick: overprovisioning.

The basic idea is simple. You give up a slice of usable capacity so the SSD has more reserved space to manage itself behind the scenes. That tradeoff can help with many things, but are you willing to give up some space for it?

Most SSDs already use overprovisioning, but you can give yours more room

And there’s a good reward at the end

Overprovisioning is when part of an SSD’s storage is set aside for the drive itself instead of being made available for your files. The SSD controller can use that reserved space as a kind of working area for background tasks, including moving data around, cleaning up deleted files, spreading wear across the NAND, and preparing empty blocks for future writes. In other words, it’s not storage you directly use; it’s storage that the SSD uses to keep itself running in ship shape.

The important thing to understand here is that overprovisioning isn’t usually something your SSD is desperately waiting for you to enable. Most SSDs already reserve some space for themselves from the factory, and that hidden spare area is part of how they stay healthy in normal use. You don’t see it in your OS, you don’t save files to it, and you usually don’t have direct control over it, but the SSD controller can still use it behind the scenes.

What you can sometimes do, though, is add more overprovisioned space yourself. Some SSD management apps expose this as an actual feature, while the more manual version involves leaving part of the drive unallocated instead of turning every last gigabyte into usable storage. Either way, the idea is the same: you’re intentionally giving the SSD more breathing room that the OS can’t immediately fill with anything else.

Overprovisioning helps the controller clean up faster

SSDs need working room, not just empty folders

An 8TB HGST hard drive with a 2TB WD_BLACK NVMe SSD sitting on top of it. Credit: Patrick Campanale / How-To Geek

The reason you might even entertain the idea is that SSDs don’t handle deleted and rewritten data the same way a hard drive does.

When you delete something, the SSD doesn’t instantly chuck away all that data. It doesn’t instantly wipe those exact cells and call it a day. It has to manage pages, blocks, valid and invalid data, and even future writes, all in the background.

The fuller the drive gets, the less room the controller has to shuffle all of that around efficiently. Extra overprovisioned space gives it more empty blocks to work with, which can make garbage collection easier and reduce unnecessary internal writes.

That brings us to the money piece, which means the longevity angle, and how it all ties together. NAND flash can only handle so many write and erase cycles, so anything that helps the SSD avoid extra internal rewriting is useful. Overprovisioning gives the controller more flexibility to spread writes across the drive, clean up blocks more efficiently, and avoid hammering the same areas harder than necessary.

It won’t make an SSD immortal, and anyway, SSDs can fail even at 100% health (oh, joy). But it can reduce some of that wear-and-tear.


The Samsung logo on the back of the 9100 PRO NVMe SSD.


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The catch is that you lose usable storage

Capacity is the price of endurance

The Zettlab D4 NAS with a Geekom A5 mini PC and TerraMaster F4 SSD NAS on a wooden shelf. Credit: Patrick Campanale / How-To Geek

There’s no such thing as free lunch, unfortunately. The obvious downside here is that overprovisioning isn’t free either, and if you set aside 10% of a 1TB SSD, that’s around 100GB you no longer get to treat as normal storage.

On a bigger drive, like 2TB or 4TB, you may not notice this too much. But take a smaller SSD, such as 512GB or even 120GB, and you’re losing a huge chunk of capacity when you never had much to begin with.

That’s why this is a trade-off, not something every single person needs to rush into. If your SSD has plenty of free space and you mostly use it for light everyday use, extra overprovisioning may not make much of a visible difference … but if your drive is a major workhorse, sacrificing a little space is a trade-off well worth making.

Some SSD apps can set it up for you

You can also sort it out in Windows

A hand holding the Crucial X10 portable SSD with a weeping willow tree in the background. Credit: Patrick Campanale / How-To Geek

The easiest way to set up extra overprovisioning is through your SSD’s own management software, if it offers the feature (not all of them do). Samsung Magician is probably the most obvious example, but other SSD makers have their own utilities, too.

You don’t necessarily need a dedicated SSD app, though. The manual version is to shrink the SSD’s partition in Windows Disk Management and leave the new space unallocated. The important part is that you don’t turn that space into another volume or give it a drive letter, because then, you’re just making another place to store files.


Consider the trade-off

Overprovisioning makes the most sense when the SSD is regularly working hard, sitting close to full, or handling lots of writes. If your drive has plenty of free space and mostly stores games, apps, or everyday files, you may be better off simply keeping a healthy amount of normal free space instead. But if you want to give a busy SSD more room to manage itself, sacrificing a small slice of capacity can be a smart trade-off. Just remember to follow the 3-2-1 rule before you start toying around with pretty much anything SSD-related.



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ZDNET’s key takeaways

  • Staff who use AI can end up with more to do, not less.
  • Think carefully about the tools you’re using and why.
  • Adopt a set of standards and refine your outputs.

The promise of productivity boosts from AI can come with an unwelcome side order of stress. Harvard Business Review found that AI doesn’t reduce work; it intensifies it, leading to cognitive fatigue and unsustainable hours.

While the common perception is that AI can help reduce workloads, allowing employees to focus more on higher-value and more engaging tasks, HBR’s research found that staff using AI worked more quickly and often ended up with more to do, not less.

Also: Forget productivity: Here are 5 strategic shifts that drive real AI value

While we’ve written about how some professionals are finding ways to turn AI’s time-saving magic into a productivity superpower, we’ve also recognized that some employees have started to become tired with the low quality of AI outputs.

Ankur Anand, group CIO at tech recruiter Harvey Nash, said professionals who want to avoid cognitive fatigue must understand how to use AI effectively and its potential risks.

“That focus will help to reduce the noise around the workload that AI creates,” he told ZDNET, suggesting that many people have unrealistic expectations about the productivity boost that AI will provide.

Also: Why I ditched Copilot for Claude in Word, Excel, and PowerPoint – and how you can, too

“Many organizations are telling their people, ‘We want to understand how you’re making an impact with AI,'” he said. “But these professionals are not empowered, which means that using AI adds a lot of pressure, because they need to prove themselves on their own terms.”

If you’re going to make the most of AI at work, then you’re going to have to find an effective balance between completing tasks quickly and producing high-quality work. 

Here’s how the experts believe professionals can ensure they reap the benefits, not the problems, of AI — and they suggest that you’ll need to focus on three core areas: tools, guidelines, and outputs.

Limit your toolset

Alex Read, senior enterprise product manager for data at energy provider EDF UK, told ZDNET that the best way for professionals to reap the benefits, not the challenges, of AI is to be uber-focused on tools that help you produce value in your roles.

While there are thousands of potential AI-enabled services on the market, Read said sensible professionals limit their horizons.

Also: How this travel company’s AI rollout drove a 73% satisfaction boost: A 5-step playbook for your business

In his own role, for example, Read focuses on how AI can help him build a data platform and update information accurately, efficiently, and productively: “Anything outside of that scope is noise for me.”

That sentiment resonated with Nick Pearson, CIO at technology specialist Ricoh Europe, who told ZDNET it’s important to take a step back and think carefully about how an AI tool can help you produce value in your role.

“If you think about the phrase ‘gen AI,’ the tech is very good, by definition, at generating outputs,” he said. “I could go to bed in the evening, set the model to work, and we could have four new IT strategies produced overnight.”

Also: Worried AI agents will replace you? 5 ways you can turn anxiety into action at work

However, quantity doesn’t necessarily mean quality. Pearson suggested it’s important to focus on AI’s blind spots, particularly as most models are trained on preexisting content.

“AI can’t inspire people, per se; it can’t naturally create something new, because it’s actually quite recursive,” he said.

“And the judgment you have to put in sometimes, on top of everything else, whether it be an ethical or a capability judgment, is not there automatically in the technology.”

It’s in this gap, said Pearson, that human experts play a critical role: “We’re toying with that concern as an organization and saying, ‘Where does AI really play an important role, versus where are we upskilling people in areas that AI probably won’t play for a long time?'”

Work to the guidelines

HBR’s research found that an initial productivity surge when AI is adopted can lead to lower-quality work, turnover, and other problems as people work harder rather than smarter.

To correct this issue, HBR said companies need to adopt an “AI practice,” or a set of norms and standards around AI use that help professionals ensure they use AI in a constrained but productive manner.

Also: 90% of AI projects fail – here are 3 ways to ensure yours doesn’t

At EDF UK, Read is part of an internal AI Center of Excellence in enterprise IT, which enables policy for the effective use of AI across the wider organization. 

In addition to Read, who contributes input from a data-use perspective, the group includes other tech representatives, such as the firm’s senior manager of AI, principal software engineer, and principal solution architect.

“The remit of this center is to make sure that, when the federated business units are looking to build, develop, and deploy AI services, they have platforms, guidance, best practices, architectural assets, and materials to guide them on how to safely and efficiently adopt AI and operationalize it at scale,” he said.

Some of the key themes the center considers when assessing AI tools are scalability and reusability, ensuring a proposed service doesn’t replicate one already in use.

Also: 5 ways to use AI when your budget is tight

“All new tools and services related to AI will go through that hopper and funnel to understand scope and ensure the security, regulatory, and ethical side of things are understood,” he said, suggesting that all professionals should use their organization’s pre-existing guidelines to foster an appropriate exploitation of emerging tech.

“The benefit that guided approach brings is that it allows us to be clear in our messaging around what AI services can be used, how they’re used from a use-case perspective, and ultimately, what personas are allowed to use them.”

Refine your outputs

Even when tools are assessed and considered acceptable, there can still be an overreliance on AI outputs. Worse, some professionals can drown in the insights they receive, leading to higher stress and fewer benefits.

Louise Newbury-Smith, head of UK&I at technology specialist Zoom, told ZDNET that one way to ensure your outputs are constrained is to focus on prompting.

“Use simple amendments to be specific, such as ‘Give me the top three things with the biggest impact.’ That approach should guide your prompt, rather than saying, ‘Give me everything you know about this topic.'”

Also: 5 ways to fortify your network against the new speed of AI attacks

Newbury-Smith said the successful use of AI is all about being smart about how it’s exploited, and that effectiveness comes down to enablement and engagement. If a prompt yields too much information, refine it until you get what you need. She said this should still be faster than trying to get answers without AI.

The basic message for professionals is that effective applications of AI are all about you staying in the loop, said Bernhard Seiser, vice president of digital, data, and IT at AOP Health.

Think before you use AI, and think again before you push your outputs around the organization.

“It doesn’t help the business if you get AI-generated emails that are many pages long, and then you need ChatGPT to summarize the text,” he told ZDNET.

Seiser said that while there are certain tasks generative AI is good at and worth using for, in the end, “you need to use your brain.”





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