I tested every SSD tweak that’s supposed to extend drive life—most are just wasting your time


If you read about solid state drives (SSDs), you’ll encounter a mountain of advice about how you can optimize your SSD’s speed and longevity. However, modern SSDs, advanced controllers, and operating systems have made much of that advice irrelevant. Worse yet, some of it can actually be detrimental to the stability of your PC, especially if you’re running a system with limited amounts of RAM.

Disabling the pagefile

Modern SSDs just aren’t that fragile

When SSDs first entered the market, there were a lot of concerns about their longevity. After all, flash memory physically degrades with use, and it wasn’t completely clear whether this new technology would stand up to everyday use or if they’d be prone to failure.

One of the big concerns was that excessive writes would prematurely wear down an SSD, resulting in a failure. With that concern in mind, a lot of people recommend disabling the pagefile (which acts like extra RAM if your PC runs out of actual RAM) to prevent it from degrading the SSD.

That fear was overblown. In reality, the amount of writing involved with a pagefile is a tiny fraction of the total theoretical write endurance of a modern SSD. Moreover, SSDs have proven they’re more resilient than people originally feared. The very first SSD I purchased is still plugging along happily and has long since exceeded the predicted number of writes.

By disabling the pagefile, you seriously hamper your system’s ability to respond in scenarios where the RAM fills up. It can lead to instability, very poor performance, and data corruption. This is especially likely to be a problem if you’re running a PC with only 8GB of RAM.

SAMSUNG 990 PRO 2TB NVMe M.2 SSD.

Storage capacity

2TB

Hardware Interface

M.2

The Samsung 990 PRO 2TB NVMe Gen4 SSD is insanely fast, with read and write speeds up to 7,450 MB/s. It’s perfect for gaming, video editing, or any other task you throw at it.
 


Manually running TRIM or “optimizing” constantly

The stock maintenance cycle is fine

You’ll find a ton of content suggesting that you increase the frequency of TRIM passes or frequently toggle the optimize tool to keep your drive running well. Trimming (deleting) unused blocks beforehand allows your drive to write to them much more quickly when you need them.

At some point in the past, running TRIM manually might have made sense, especially when SSDs and TRIM were new. In the intervening years, most major problems have been ironed out, and the default settings will be fine for 99% (or more) of all use cases.

Running TRIM frequently won’t hurt your PC, but probably won’t help in most circumstances either, with one exception.

If your device is critically low on storage, your PC will constantly need to overwrite a small amount of free space just to function. In that scenario, frequently running TRIM might give you a marginal performance improvement.

Moving temp files and browser cache off the SSD

Write endurance isn’t that big of an issue

Browsing and cache data in Firefox.

Another recommendation I’ve seen repeated is to move the cache and temp files off the SSD.

The thinking is that cache files, logs, and temp files all write to the drive, which wears the memory.

In theory, that is true—they do degrade the drive. However, much like the pagefile, the number of log, cache, and temp files you write over the useful lifespan of a drive might be a few hundred gigabytes. SSDs have endurance limits in the hundreds of terabytes, and those “limits” are pretty conservative—you’ll often be able to write significantly more.


Fil Explorer open on a Windows PC showing the C:\ drive.


How to Clear Your Cache on Windows 11

Let go of unnecessary files and free up some storage space!

Perhaps more importantly, your apps and OS write those files to your SSD for a good reason: It is really fast. Moving temp and cache files off your SSD just to prolong its life largely defeats the purpose of having an SSD in the first place.

Manually overprovisioning too much

Your SSD usually handles things by itself

The free space and partitions on a 1T NVMe SSD.

SSDs run better when they have free space, which has led enthusiasts to recommend manually leaving a large chunk of the drive unallocated to “guarantee” overprovisioning. The idea is that forcing the drive to maintain extra headroom is necessary for a speedy drive.

However, SSDs do a pretty good job of that themselves. They reserve space for wear leveling and garbage collection automatically, which is plenty for most everyday workloads.

When you reserve extra space without a very specific use case in mind, you’re just preemptively giving up usable storage space. You might not see any benefit at all.

I’d generally recommend leaving it alone unless you run into a performance problem or your drive is nearly full. Only then does it make sense to trade off space for performance.


Sometimes the defaults are just fine

Most SSD tweaks you’ll see recommended aren’t pure nonsense, they’re just largely outdated. Modern hardware is smarter and more robust than the earliest SSDs, and they don’t need the same kind of care that older drives did.

However, there are some things you really should avoid. The big one is defragging, since it can write a substantial percentage of a drive’s total storage while it runs. Windows will try to stop you from doing this, but it is possible to override it.

You also don’t want to leave an SSD sitting unpowered for a prolonged period if you care about the data. They’re more prone to data loss than unpowered HDDs.



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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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