A holiday shopping guide for engineers: 2025 edition

As of this year, EDN has consecutively published my odes to holiday-excused consumerism for more than a half-decade straight (and intentionally ahead of Black Friday, if you hadn’t already deduced), now nearing ten editions in total. Here are the 2019, 2020, 2021, 2022, 2023, and 2024 versions; I skipped a few years between 2014 and its successors.

As usual, I’ve included up-front links to prior-year versions of the Holiday Shopping Guide for Engineers because I’ve done my best here to not regurgitate any past recommendations; the stuff I’ve previously suggested largely remains valid, after all. That said, it gets increasingly difficult each year not to repeat myself! And as such, I’ve “thrown in the towel” this year, at least to some degree…you’ll find a few repeat categories this time, albeit with new product suggestions within them.

Without any further ado, and as usual, ordered solely in the order in which they initially came out of my cranium…

A Windows 11-compatible (or alternative O/S-based) computer

Microsoft’s general support for Windows 10 ended nearly a month ago (on October 14, to be exact) as I’m writing these words. For you Windows users out there, options exist for extending Windows 10 support updates (ESUs) for another year on consumer-licensed systems, both paid (spending $30 or redeeming 1,000 Microsoft Rewards points, with both ESU options covering up to 10 devices) and free (after syncing your PC settings).

If you’re an IT admin, the corporate license ESU program specifics are different; see here. And, as I covered in hands-on detail a few months back, (unsanctioned) options also exist for upgrading officially unsupported systems to Windows 11, although I don’t recommend relying on them for long-term use (assuming the hardware-hack attempt is successful at all, that is). As I wrote back in June:

The bottom line: any particular system whose specifications aren’t fully encompassed by Microsoft’s Windows 11 requirements documentation is fair game for abrupt no-boot cutoff at any point in the future. At minimum, you’ll end up with a “stuck” system, incapable of being further upgraded to newer Windows 11 releases, therefore doomed to fall off the support list at some point in the future. And if you try to hack around the block, you’ll end up with a system that may no longer reliably function, if it even boots at all.

You could also convert your existing PC over to run a different O/S, such as ChromeOS Flex (originally Neverware’s CloudReady, then acquired and now maintained by Google) or a Linux distro of your preference. For that matter, you could also just “get a Mac”. That said, any of these options will likely also compel conversions to new apps for the new O/S foundation. The aggregate learning curve from all these software transitions can end up being a “bridge too far”.

Instead, I’d suggest you just “bite the bullet” and buy a new PC for yourself and/or others for the holidays, before CPUs, DRAM, SSDs, and other building block components become even more supply-constrained and tariff-encumbered than they are now, and to ease the inevitable eventual transition to Windows 11.

Then donate your old hardware to charity for someone else to O/S-convert and extend its useful life. That’s what I’ll be doing, for example, with my wife’s Dell Inspiron 5570, which, as it turns out, wasn’t Windows 11-upgradeable after all.

Between now and next October, when the Windows 10 ESU runs out (unless the deadline gets extended again), we’ll replace it with the Dell 16 Plus (formerly Inspiron 16 Plus) in the above photo.

An AI-enhanced mobile device

The new Dell laptop I just mentioned, which we’d bought earlier this summer (ironically just prior to Microsoft’s unveiling of the free Windows 10 ESU option), is compatible with Microsoft’s Copilot+ specifications for AI-enhanced PCs by virtue of the system’s Intel Core Ultra 7 256V CPU with an integrated 47 TOPS NPU.

That said, although its support for local (vs conventional cloud) AI inference is nice from a future-proofing standpoint, there’s not much evidence of compelling on-client AI benefits at this early stage, save perhaps for low-latency voice interface capabilities (not to mention broader uninterrupted AI-based functionality when broadband goes down).

The current situation is very different when it comes to fully mobile devices. Yes, I know, laptops also have built-in batteries, but they often still spend much of their operating life AC-tethered, and anyway, their battery packs are much beefier than the ones in the smartphones and tablets I’m talking about here.

Local AI processing is not only faster than to-and-back-from-cloud roundtrip delays (particularly lengthy over cellular networks), but it also doesn’t gobble up precious limited-monthly-allocation data. Then there’s the locally stored-and-processed data enhanced privacy factor to consider, along with the oft-substantial power saving accrued by not needing to constantly leverage the mobile device’s Wi-Fi and cellular data subsystems.

You may indeed believe (as, full disclosure, I do) that AI features are of limited-at-best benefit at the moment, at least for the masses. But I think we can also agree that ongoing widespread-and-expanding and intense industry attention on AI will sooner or later cultivate compelling capabilities.

Therefore, I’ve showcased mobile devices’ AI attributes in recent years’ announcement coverage (such as that of Google’s Pixel 10 series shown in the photo above) and why I recommend them, again from a future-proofing angle if nothing else, if you’re (and/or yours are) due for a gadget upgrade this year. Meanwhile, I’ll soldier on with my Pixel 7s

Audio education resources

As regular readers likely already realize, audio has received particular showcase attention in my blog posts and teardowns this past year-plus (a trend which will admittedly also likely extend into at least next year). This provided, among other things, an opportunity for me to refresh and expand my intellectual understanding of the topic.

I kept coming across references to Bob Cordell, mentioning both his informative website and his classic tomes, Designing Audio Power Amplifiers (make sure you purchase the latest 2nd edition, published in 2019, whose front cover is shown above) and the newer Designing Audio Circuits and Systems, released just last year.

Fair warning: neither book is inexpensive, especially in hardback, but even in paperback, and neither is available in a lower-priced Kindle version, either. That said, per both reviews I’ve seen from others and my own impressions, they’re well worth the investments.

Another worthwhile read, this time complete with plenty of humor scattered throughout, is Schiit Happened: The Story of the World’s Most Improbable Start-Up, in this case available in both inexpensive paperback and even more cost-effective Kindle formats. Written by Jason Stoddard and Mike Moffat, the founders of Schiit Audio, whom I’ve already mentioned several times this year, it’s also available for free on the Head-Fi Forum, where Jason has continued his writing. But c’mon, folks, drop $14.99 (or $4.99) to support a scrappy U.S. audio success story.

As far as audio-related magazines go, I first off highly recommend a subscription to audioXpress. Generalist electronics design publications like EDN are great, of course, but topic-focused coverage like that offered by audioXpress for audio design makes for an effective information companion.

On the other end of the product development chain, where gear is purchased and used by owners, there’s Stereophile, for which I’ve also been a faithful reader for more years than I care to remember. And as for the creation, capture, mastering, and duplication of the music played on those systems, I highly recommend subscriptions to Sound on Sound and, if your budget allows for a second publication, Recording. Consistently great stuff, all of it.

Finally, as an analogy to my earlier EDN-plus-audioXpress pairing, back in 2021 I recommended memberships to generalist ACM and/or IEEE professional societies. This time, I’ll supplement that suggestion with an audio-focused companion, the AES (Audio Engineering Society).

Back when I was a full-time press guy with EDN, I used to be able to snag complimentary admission to the twice-yearly AES conventions along with other organization events, which were always rich sources of information and networking connection cultivation.

To my dying day, I will always remember one particularly fascinating lecture, which correlated Ludwig van Beethoven’s progressive hearing degradation and its (presenter-presumed) emotional and psychological effects to the evolution of the music styles that he composed over time. Then there were the folks from Fraunhofer that I first-time met at an AES convention, kicking off a longstanding professional collaboration. And…

Audio gear

For a number of years, my Drop- (formerly Massdrop)-sourced combo of the x Grace Design Standard DAC and Objective 2 Headphone Amp Desktop Edition afforded me with a sonically enhanced alternative to my computer’s built-in DAC and amp for listening to music over plugged-in headphones and powered speakers:

As I’ve “teased” in a recent writeup, however, I recently upgraded this unbalanced-connection setup to a four-component Schiit stack, complete with a snazzy aluminum-and-acrylic rack:

Why?

Part of the reason is that I wanted to sonically experience a tube-based headphone amp for myself, both in an absolute sense and relative to solid-state Schiit amplifiers also in my possession.

Part of it is that all these Schiit-sourced amps also integrate preamp outputs for alternative-listening connection to an external power amp-plus-passive speaker set:

Another part of the reason is that I’ve now got a hardware equalizer as an alternative to software EQ, the latter (obviously) only relevant for computer-sourced audio. And relatedly, part of it is that I’ve also now got a hardware-based input switcher, enabling me to listen to audio coming not only from my PC but also from another external source. What source, you might ask?

Why, one of the several turntables that I also acquired and more broadly pressed into service this past year, of course!

I’ve really enjoyed reconnecting with vinyl and accumulating a LP collection (although my wallet has admittedly taken a beating in the process), and encourage you (and yours) to do the same. Stand by for a more detailed description of my expanded office audio setup, including its balanced “stack” counterpart, in an upcoming dedicated topic to be published shortly.

For sonically enhancing the rest of the house, where a computer isn’t the primary audio source, companies such as Bluesound and WiiM sell various all-in-one audio streamers, both power amplifier-inclusive (for use with traditional passive speakers) and amp-less (for pairing with powered speakers or intermediary connection to a standalone external amp).

A Bluesound Node N130, for example, has long resided at the “man cave” half of my office:

And the class D amplifier inside the “Pro” version of the WiiM Amp, which I plan to press into service soon in my living room, even supports the PFFB feature I recently discussed:

(Apple-reminiscent Space Gray shown and self-owned; Dark Gray and Silver also available)

More developer hardware

Here’s the other area where, as I alluded to in the intro, I’m going to overlap a bit with a past-year Holiday Shopping Guide. Two years ago, I recommended some developer kits from both the Raspberry Pi Foundation and NVIDIA, including the latter’s then-$499 Jetson Orin Nano:

It’s subsequently been “replaced”, as well as notably priced-decreased, by the Orin Nano Super Developer Kit at $249.

Why the quotes around “replaced”? That’s because, as good news for anyone who acted on my earlier recommendation, the hardware’s exactly the same as before: “Super” is solely reflective of an enhanced software suite delivering claimed generative AI performance gains of up to 1.7x, and freely available to existing Jetson Orin Nano owners.

More recently, last month, NVIDIA unveiled the diminutive $3,999 DGX Spark:

with compelling potential, both per company claims and initial hands-on experiences:

As a new class of computer, DGX Spark delivers a petaflop of AI performance and 128GB of unified memory in a compact desktop form factor, giving developers the power to run inference on AI models with up to 200 billion parameters and fine-tune models of up to 70 billion parameters locally. In addition, DGX Spark lets developers create AI agents and run advanced software stacks locally.

albeit along with, it should also be noted, an irregular development history and some troubling early reviews. The system was initially referred to as Project DIGITS when unveiled publicly at the January 2025 CES. Its application processor, originally referred to as the N1X, is now renamed the GB10. Co-developed by NVIDIA (who contributed the Grace Blackwell GPU subsystem) and MediaTek (who supplied the multi-core CPU cluster and reportedly also handled full SoC integration duties), it was originally intended for—and may eventually still show up in—Arm-based Windows PCs.

But repeated development hurdles have (reportedly) delayed the actualization of both SoC and system shipment aspirations, and lingering functional bugs preclude Windows compatibility (therefore explaining the DGX Spark’s Linux O/S foundation).

More generally, just a few days ago as I write these words, MAKE Magazine’s latest issue showed up in my mailbox, containing the most recent iteration of the publication’s yearly “Guide to Boards” insert. Check it out for more hardware ideas for your upcoming projects.

A smart ring

Regular readers have likely also noticed my recent series of writeups on smart rings, comprising both an initial overview and subsequent reviews based on fingers-on evaluations.

As I write these words in mid-November, Ultrahuman’s products have been pulled from the U.S. market due to patent-infringement rulings, although they’re still available elsewhere in the world. RingConn conversely concluded a last-minute licensing agreement, enabling ongoing sales of its devices worldwide, including in the United States.

And as for the instigator of the patent infringement actions, market leader Oura, my review of the company’s Gen3 smart ring will appear at EDN shortly after you read these words, with my eval of the latest-generation Ring 4 (shown above) to follow next month.

Smart rings’ Li-ion batteries, like those of any device with fully integrated cells, won’t last forever, so you need to go into your experience with one of them eyes-open to the reality that it’ll ultimately be disposable (or, in my case, transform into a teardown project).

That said, the technology is sufficiently mature at this point that I feel comfortable recommending them to the masses. They provide useful health insights, even though they tend to notably overstate step counts for those who use computer keyboards a lot. And unlike a smart watch or other wrist-based fitness tracker, you don’t need to worry (so much, at least) about color- and style-coordinating a smart ring with the rest of your outfit ensemble.

(Not yet a) pair of smart glasses

Conversely, alas, I still can’t yet recommend smart glasses to anyone but early adopters (like me; see above). Meta’s latest announced device suite, along with various products from numerous (and a growing list of) competitors, suggests that this product category is still relatively immature, therefore dynamic in its evolutionary nature. I’d hate to suggest something for you to buy for others that’ll be obsolete in short order. For power users like you, on the other hand…

Happy holidays!

And with that, having just passed through 2,500 words, I’ll close here. Upside: plenty of additional presents-to-others-and/or-self ideas are now littering the cutting-room floor, so I’ve already got no shortage of topics for next year’s edition! Until then, sound off in the comments, and happy holidays!

 Brian Dipert is the Principal at Sierra Media and a former technical editor at EDN Magazine, where he still regularly contributes as a freelancer.

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