Welcome back to the second part of our mini-series on Raspberry Pi’s new first-party storage offerings. Previously, we covered the SD card lineup in detail, which we found to offer excellent value and reliable performance on Raspberry Pi computers. If you haven’t read part one yet, we highly recommend you do so first as it provides some context which will be useful as you read on.
Author: Dušan Dakić
Raspberry Pi has had a busy few months. The seemingly endless barrage of new mainline products and accessories is impressive – from AI HAT+’s and cameras to the release of the long-awaited Compute Module 5, Raspberry Pi 500 and a refreshed 16 GB variant of Raspberry Pi 5. It’s been a proper doozy, and our backed-up review pipeline still hasn’t fully recovered.
The Raspberry Pi AI HAT+ makes a ton of sense. In a way, it’s exactly the product we expected back when we first caught wind of something AI-related going on over at Pi Towers. The Hailo-8L is back once again, but it’s been evicted from its dedicated third-party module and now lives directly soldered onto a custom HAT+ board. And okay, there’s a surprise guest in this story too, but more on that in a second.
Raspberry Pi sure is doubling down on artificial intelligence with its recent accessory releases. The excellent Raspberry Pi AI Kit brought 13 TOPS of AI compute to the Raspberry Pi 5 by strapping a general-purpose Hailo-8L M.2 AI accelerator module onto it using the power of the PCIe-based M.2 HAT+.
Arturia is an interesting company. Entering the scene back in 1999 and focusing on software instruments for the better part of a decade, the company branched out into hardware by late 2000s, announcing the Origin hardware synthesizer and the Analog Factory Experience software/controller combo.
Artificial intelligence is not just about flashy, cutting-edge generative models running on extremely powerful enterprise hardware, churning data and answering life’s big (and not-so-big) questions. Just as important is a concept called on-device AI. The name sums the idea up quite succinctly: it’s all about running AI models right on end-user or edge hardware instead of relying on cloud servers.
The LattePanda Mu is the company’s first foray into SoM territory, packing an affordable Intel Processor N100 CPU and seemingly attempting to give the swathes of ARM-based SoMs a run for their money. It’s a crowded and competitive field, with almost every major SBC manufacturer offering some sort of module-based option.
SunFounder’s newest Raspberry Pi-based gizmo is the do-it-yourself Pironman 5 “Mini PC” case, drawing inspiration from flashy high-end PCs — and taking your regular old Raspberry Pi 5 and turning it into a package which wouldn’t look too out of place in a gaming setup built for babies.
If you were to squint just right, Clockwork Pi’s DevTerm, with its retro-inspired ultra-wide display and characteristic two-tone body could pass for a TRS-80 Model 100. Fully inspired by the first generation of truly “pocketable” computers, the DevTerm feels like a love letter to these systems of days long gone.
In retrospect, when we first had the original Orange Pi 5, our first RK3588S SBC, make it onto our review desk, we couldn’t even imagine that it’d be the beginning of an extensive series of reviews centered around this very SoC (and its more capable sibling, the RK3588).
Starting at $579, the LattePanda Sigma is really expensive. Not just for an SBC — at almost $600 (and more than that in some configurations), it’s a genuinely pricey bit of kit. But, with a 13th Gen Intel Core i5 CPU and up to 32 GB of LPDDR5 RAM, it’s much closer in specs to a fully-fledged desktop computer than its form-factor would initially suggest.
Foldables aren’t exactly known for being the most practical phones. The target audience for these isn’t, and likely never will be the average smartphone user, which is more than happy tapping messages and making phone calls on anything that’s durable and has decent battery life.
A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to…
Well, here’s the definitive answer – no, overclocking your Raspberry Pi won’t void the warranty. In fact, it never did. Our source? Raspberry Pi themselves.
The Raspberry Pi 5 immediately outclasses its predecessors by offering a much higher 2.4 GHz base clock, which is immediately impressive. Of course, as we’ve seen in our Raspberry Pi 5 review, this comes at a cost, as the new Raspberry Pi very quickly gets quite warm during use and thus requires a robust thermal solution.
Despite this, there’s additional untapped performance in the Raspberry Pi 5. How far you can push your board is highly dependent on the silicon lottery, but looking at the early articles, the numbers we see most people cap out at are 2.8 GHz, 3.0 GHz and 3.1 GHz.
Today, we’re taking a look at quite a special board. When it comes to SBCs, or any computing hardware, in general, we’re used to seeing ARM and x86-based processors: the former mainly in mobile devices and the latter in desktop and server gear. Differing in many important aspects, these two architectures both have one thing in common: both are completely closed-source.
It’s finally happening. The successor to the popular, but aging Raspberry Pi 4 Model B is finally here – the aptly-named Raspberry Pi 5 will be available to purchase by the end of October. Spending an unusually long time at the helm – four years – and receiving a significant boost in 2020 with the release of the 8 GB model, the retiring legend truly had a good run.
We thank everyone who participated in this giveaway, as well as our friends at NVIDIA for supporting us. The team…
Magazin Mehatronika, with support from NVIDIA is giving away two Jetson Nano Developer kits.
The Jetson Nano is a small edge AI system made by NVIDIA, perfect for students, makers and educators.
Powerful enough for computer vision applications, the Jetson Nano supports external cameras, enabling powerful projects, aware of their surroundings.
Since the Jetson Nano itself is a module, with a reference carrier board in the kit, it’s possible to integrate it into custom end solutions. This level of flexibility is required for industry usage, as well as more serious projects.
More information, and the giveaway submission form can be found at the following link.
Saildrone is making a splash in autonomous oceanic monitoring.
The startup’s nautical data collection technology has tracked hurricanes up close in the North Atlantic, discovered a 3,200-foot underwater mountain in the Pacific Ocean and begun to help map the entirety of the world’s ocean floor.
Based in the San Francisco Bay Area, the company develops autonomous uncrewed surface vehicles (USVs) that carry a wide range of sensors. Its data streams are processed on NVIDIA Jetson modules for AI at the edge and are being optimized in prototypes with the NVIDIA DeepStream software development kit for intelligent video analytics.
There is absolutely no doubt that teenage engineering’s OP-1 is one of, if not the most influential, synthesisers of the decade. However, as we’ve already seen multiple times with the Swedish brand’s products, trying to fit them into a single conventional category doesn’t do them justice.
It’s no secret that NVIDIA’s AI SBCs run toasty at times. The massive stock passive heatsink is generally good enough for the job, but due to the presence of an on-board fan header on many carrier boards, it’s simple enough to install an active solution.
Some sort of thermal solution, active or passive, has become a requirement for many modern SBCs. Ever more power-hungry SoCs with more and more technology packed in simply generate much more heat than convection alone can dissipate.
Intel’s NUC series of small-format PCs has been around for a while. Ever since 2012, Intel has been these in the now recognisable 4”-by-4” format. The lineup had had humble beginnings, usually sporting lower-end Celeron and Atom processors up until 2015, when the first NUC with a Core i7 hit the market.
AI-powered spaces are no longer just a vision of the future. They’ve arrived in today’s streets, stadiums, cities and public transport hubs — and they can be used across industries and applications.
NVIDIA is hosting a deep dive into this topic at its inaugural Smart Spaces Summit, focused on AI-powered innovations within traffic and transportation. The virtual event takes place Wednesday, June 21, from 10 a.m. to 2 p.m. CEST.
At COMPUTEX 2023, NVIDIA announced the new Jetson AGX Orin Industrial module, which brings the next level of computing to harsh environments. This new module extends the capabilities of the previous-generation NVIDIA Jetson AGX Xavier Industrial and the commercial Jetson AGX Orin modules, by bringing server-class performance to ruggedized systems.
Robotics hardware traditionally requires programmers to deploy it. READY Robotics wants to change that with its “no code” software aimed…
NVIDIA’s Jetson series of modules has always brought an exciting amount of processing power to mobile and edge AI applications—this being their intended use case. The Jetson lineup also includes several developer kits: modules on reference carrier boards in a format quite similar to single board computers.
Edge AI is finding new uses every day – from fully autonomous robots to edge servers for data analysis. Low…
The excitement around Raspberry Pi’s product releases is always massive – their products, shaped by years of community (and top-notch first-party) support are representative of the way a piece of development tech is meant to function.
NVIDIA’s GTC 2023 keynote has just ended, with GTC itself ending on March the 23rd – which means an array of exciting new industrial announcements just went live. You can always watch the full keynote at the following link, but we’ve also curated a selection – which you can find in this article – of the most important announcements given during the event.
Yet another SBC landed on our review desk. This time around it’s the Orange Pi 5, a recently released RK3588S-based high-end model from Orange Pi – a company whose main products are ARM-based SBCs oriented towards makers.
Pickering 68 series of reed relays have an impressive data-sheet. Distinguished by their flying lead design and their impressive 50 W power rating (but not quite as impressive as the company’s own 67 series’ 200 W one).
We love SBCs. They are perfect platforms to start tinkering with. Offering good specs, low/level hardware access and little-to-no long term consequences if things go awfully awry (it’s reasonably simple to format the main boot drive and start all over), it’s easy to see why they became staples of the maker community.
Together with its smaller sibling, the Galaxy Z Flip 4, the Galaxy Z Fold 4 forms the latest generation of Samsung’s foldables. Both of them are devices with similar form and function, albeit targeted at vastly different markets.
Miniware makes tiny things. The company specialises in shrinking usually bulky and hefty equipment into tiny pocket-sized gadget while sacrificing the least amount of features. Naturally, this is a tricky feat which requires a good bit of engineering know-how.