Raspberry Pi projects to try this weekend (April 3


Grab your Raspberry Pi out of the drawer it’s sat in for far too long, dust it off, and get ready to tackle some fun projects this weekend. Today, I’m going to show you how to build your own addressable LED strip, an AI failure detection system for your 3D printer, and even how to access your Calibre server from anywhere in the world.

Brand

Raspberry Pi

CPU

Cortex-A72 (ARM v8)

With the Raspberry Pi 4 Model B, you can create all kinds of fun projects, and upgrade gadgets around your home. Alternatively, install a full desktop OS and use it like a regular computer.


Build your own addressable LED strip with Adafruit’s NeoPixel library

DIY means you have full control of the LED strip start to finish

Adafruit NeoPixel Raspberry Pi project. Credit: Adafruit

Have you ever looked at those LED strips where you can address a specific LED or section to set multiple colors on one strip, and thought, “Man I want that!” Well, it’s time to build your own with your Raspberry Pi, a NeoPixel LED strip, and a little bit of wiring.

This project is based on the Adafruit NeoPixel LED strip, which offers individually addressable LEDs with 60 LEDs per meter of strip, which is quite dense. The NeoPixel LED strip comes in four sizes ranging from one meter to four meters, meaning you can string it up to 13 feet using just one strip.

The NeoPixel LED strip is actually pretty easy to control with a Raspberry Pi if you follow Adafruit’s guide. You will definitely need some extra hardware, though, and this is absolutely a DIY project and rather than an all-in-one solution like Philips Hue.

For starters, you need to pick up a breadboard if you don’t already have one. Then, grab yourself either the 1N4001 power diode or a 74AHCT125 level converter chip. You’ll need one of these as the Pi only outputs 3.3V, while the NeoPixel LED strip requires 5V to operate properly.

From there, it’s mostly just wiring up the breadboard and programming some LEDs. Adafruit’s guide walks you step-by-step through everything you’ll need to create your own NeoPixel LED strip, which could be a great addition to an office, home theater room, or DIY space.

Prevent 3D print failures without wasting a ton of filament using Obico

Plus gain remote monitoring if your printer doesn’t offer it

Before I got my Bambu Lab printers that have built-in AI spaghetti detection, I relied heavily on Obico running on a Raspberry Pi to prevent filament waste if a print failed. Obico is a simple to install, yet extremely capable, piece of 3D printing software designed to run on a Pi.

While Obico does technically work with Bambu Lab printers, it’s really designed for other brands that offer native USB control, which Obico can use to stop a print dead in its tracks if something goes awry. You can run Obico in two ways: self-hosted or cloud-hosted.

With the self-hosted route, you control the full stack of Obico top to bottom, from the hardware monitoring the prints to the server processing the data and telling the system when there’s a problem. On the cloud-hosted side, you actually are relying on Obico’s external servers to process the data from your local Obico instance.

Either way, the Raspberry Pi acts as a portal from your network to the Obico server to know what it should tell the 3D printer to do.

You simply have to supply a camera feed to your local Obico instance on the Raspberry Pi, and it’ll handle everything else from there. The Obico server you choose to use monitors that feed and looks for signs of print failure. If it sees enough of a failure to warrant stopping the print, it issues a stop command to the printer to prevent you from wasting filament.

Obico has great setup guides for all sorts of hardware configurations, and even integrates with Klipper, OctoPrint, and Duet3D, making it an extremely capable 3D printing add-on for just about any setup.

The Prusa MK4S 3D printer with two spools of filament on the top.

Build Volume

250 x 210 x 220 mm

Printing Speed

170mm/s

The Prusa MK4S 3D Printer is one of the most well-known and well-loved 3D printers on the market. As one of the main companies behind the open source initiative of 3D printing, the Prusa MK4S still supports open-source software and firmware when other companies are building their own closed-source alternatives. As the 2025 iteration of the classic Prusa 3D printer, you’ll get all the modern amenities including fast and reliable printing, easy setup, and Prusa’s proven reliability.


Enjoy your eBook library anywhere with Calibre-Web

No Kindle required

The Calibre Web interface on a desktop showing several books available to be read. Credit: Patrick Campanale / How-To Geek

With Amazon having removed the ability to extract purchased eBooks from your Kindle last year, you might be looking for an alternative way to read eBooks without Amazon in the middle at all, and that’s where Calibre-Web comes in.

Calibre-Web integrates with a Calibre instance either on your computer or Raspberry Pi to handle the actual library management side of things. Where Calibre-Web really shines is how it displays and allows you to interface with your Calibre instance.

Typically, you have to be in front of the computer on which you run Calibre to access your eBooks. Calibre-Web allows you to access them all from anywhere on earth, so long as you have access to your local network (or a reverse proxy). The web interface that Calibre-Web offers is actually pretty great.

I’ve enjoyed using Calibre-Web in the past to read eBooks without having to keep my Kindle on me. The user experience is solid, it has a great feature set, and there’s even a fun “random” button if you don’t know what to read and want it to pick a random book for you to enjoy.

So, whether you already have a full Calibre library or are just starting out, make sure to install Calibre-Web on your Raspberry Pi to access your eBooks from any device you own.


You probably don’t need as powerful of a Raspberry Pi as you think you do

Regardless of the Raspberry Pi that you own, you can easily do any of the projects on this list. Even the Raspberry Pi Zero would be a great choice for these projects, as it can handle running small web services like Calibre-Web, it has the GPIO needed for the NeoPixel controller, and it can handle camera inputs for Obico.

So, if you’ve not done any Raspberry Pi projects lately because you felt your Pi was underpowered, think again! Go ahead, get that Pi out, and start building some fun projects this weekend.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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