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The Best Cookware and Tools for Small Kitchens (2024): Storage, Cookware, and Other Tips

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You’ve got a dilemma. You love to cook, and you love to eat, but your kitchen has no room to prepare meals. Seriously, it’s like gerbil furniture. You could just declare all hope lost and rationalize eating out night and day. But you and I both know it’s a lot healthier and cheaper to cook for yourself.

As someone who lives in New York City, I know a thing or two about small kitchens. Over the years, my colleagues and I have tested various pieces of furniture and other kitchen gear to help make cooking in a small space easier (and saner). Don’t forget to check out our other buying guides, including the Best Cookbooks, Best Chef Knives, and Best Pots and Pans.

Updated March 2024: We’ve added the Umbra Tug paper towel holder, Oxo spatula set, Le Creuset Revolution scraping spoon, and PUR faucet water filter.

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Maximize Storage Space

Schmidt Bros Knife Bar with knives attached

Schmidt Brothers Acacia

Photograph: Crate & Barrel

Magnets are hidden beneath this wood, wall-mounted bar that can house your knives. That means they won’t chip or dull your knife blades like an all-metal bar. Skip the countertop knife block—not only does it take up counter space, but it also dulls the knife blades more quickly.

1 copper colored and 4 silver pans hanging from below a wooden shelf with 2 pots on top of the shelf

Photograph: Amazon

Getting those pots and pans onto the wall will free up precious drawer and cabinet space. This bamboo and aluminum rack holds up to 30 pounds, but mine has been rock-solid and sturdy even with a full set of stainless-steel cookware and cast-iron skillets. If you’re mounting into drywall and not studs, pick up some E-Z Anchors. If you don’t have room for a shelf, a hanging bar will still get skillets, saucepans, and woks out of your way.

Le Creuset Utensil Crock on yellow backdrop

Le Creuset Stoneware Utensil Crock

Photograph: Le Creuset

Store your cooking utensils in a ceramic container if you’re low on drawer space. This has enough room to hold all your spoons, spatulas, and tongs and is available in several colors. You can also get the 1-quart version for $35.

simplehuman Wall Mount Paper Towel Holder

Photograph: Amazon

WIRED reviews editor Julian Chokkattu lives in New York City and has seen his fair share of tiny kitchens. He’s used this Simplehuman wall-mounted paper towel holder for years with zero problems. You can use a few simple screws to mount it into drywall (it’s easy to patch the holes with some spackle if you’re renting). Replacing a roll is dead simple too. Why take up precious counter space with a paper towel holder when you can mount it instead? If you prefer a countertop solution, I’ve used this Umbra Tug holder ($17) for years, and its weighted base and rubber-coated stem make it easy to tear a small amount with one hand.

Water filter attached to a faucet. Long rectangular part extends attached to a circular end where the water is dispersed.

Photograph: Amazon

Tight on refrigerator space? Swap from a pitcher filter to a faucet-mounted filter to free up quite a lot of space on your fridge shelves. The sales literature says it’ll filter 100 gallons, which should mean about three months of usage before it needs a replacement filter. You can buy a PUR Filter Replacement two-pack for $25. I cook a lot at home and make a lot of coffee, so my filters tend to last about half that, but knowing that it’s removing potential contaminants from my food and drinking water makes the regular filter replacements well worth it. A color-coded light activates whenever you run the filter, so you’ll know when to replace the filter. My previous model lasted more than seven years, and the replacement I bought last month looks nearly identical.

Stove Shelf containing ingredients and kitchen utensils sits on top of an oven

Photograph: Stove Shelf

WIRED reviews editor Julian Chokkattu has been using the StoveShelf for more than a year and loves it. It’s a smart way to save some counter space, and it’s easy to clean. This is just a sheet of metal with magnets at the base, and it sticks to the top of a stove, making it super easy to install. You’ll need to make sure this part of your stove is metal and not plastic, and that there are no buttons or switches that might be blocked (like an oven light). The rear guard ensures that nothing falls into that gap between your stove and the wall. I’d make sure to avoid putting any cooking oil there.

3 gold meshchain baskets in increasing size suspended above each other

Photograph: Amazon

You don’t need to use precious counter space to store fresh fruit and vegetables. Leave your tomatoes, potatoes, and stone fruit out of the refrigerator and regain some prep space for knife handling and mixing bowls.

Function Home Kitchen Storage Cabinet containing ingredients containers and utensils

Function Home Kitchen Storage Cabinet

Photograph: Function Home

Here’s another one that WIRED reviews editor Julian Chokkattu bought in 2022. This pantry storage system will take up some floor space, but if you can swing it, you can save so much counter space, and it’s especially great for anyone with limited cabinets. It’s daunting at first because it comes in what seems like a million pieces; it took Julian around four hours to complete with no issues. But in the year he’s had it, it’s worked perfectly and has been a boon to keeping his kitchen less chaotic. The doors shut magnetically. Just measure the height of the shelves to ensure your spices and other pantry items will fit.

Clear hexagonal spice jars magnetically sticking to the side of a white fridge with a frying pan in immediate view

Photograph: Gneiss Spice

Rather than use a wall-mounted spice rack, WIRED reviewer Louryn Strampe sticks magnetic spice jars to her refrigerator. She likes Gneiss Spice, which comes in several ready-made kits. You can also specify the spices you want.

Consolidate (and Downsize) Your Cookware

Lodge Enameled Cast Iron Dutch Oven

Lodge Enameled Dutch Oven

Photograph: Amazon

A Dutch oven can replace several single-use pots or machines. I’ve used mine to steam oysters, slow-cook stews, and make barbecue, and the durable, nonstick enameled surface requires less care and attention than bare cast iron, although I prefer a non-enamel one for baking bread.

Grey semitransparent tubeshaped device sitting on top of a clear cup with coffee inside

Photograph: Amazon

Forget the Keurig or Mr. Coffee that hogs up counter space even when it’s idle. An AeroPress makes better-tasting coffee, and it can be rinsed and stowed away in a drawer afterward. We also like the Hario Pour-Over Coffee Dripper for $28 and the Frieling 23-Fluid-Ounce Stainless Steel French Press for $120. I’ve used both for years. They’ll never wear out, and they make great coffee.

Electric cooking pot with black base silver main compartment and black lid. Digital screen shows cook time and buttons...

Photograph: Amazon

How often do you use that quesadilla maker or steaming basket? One multicooker can replace several specialized machines. Aside from being a pressure cooker, steamer, sauté pan, rice cooker, yogurt maker, food warmer, and slow cooker, it has 13 customizable settings for pressure-cooking everything from beans to soup to poultry. Read our Best Multicookers guide for more recommendations.

3 silicone spatulas side by side are red blue and white from left to right

Photograph: Amazon

These silicone Oxo spatulas come in three different sizes. All are nonstick and gave me no issue with clinging to even the stickiest doughs. Not once did one slip out of my hands—no doubt thanks to the extraordinarily grippy surface.

Wooden spoon with flat edge for scraping and slightly curvy handle

Photograph: Amazon

Plenty of recipes ask you to scrape the bottom of the pan or Dutch oven to dislodge all the delicious bits of ingredients that caramelize and stick to it, but your options for what to dislodge it with are somewhat limited. Metal spoons can scratch the finish off cast-iron or nonstick pans. Plastic is too slick for the job. Enter the beechwood Revolution, which is firm enough for scraping but won’t harm delicate pots and pans. Sure, it’s expensive, but its ergonomic handle is comfortable for long cooking sessions, and the flat edge meant that I didn’t once come up against a sticky layer that I couldn’t break free of the skillet bottom.

Red handheld appliance with 2 extensions of wire mixers attached

Photograph: Target

A stand mixer on the countertop is a powerful kitchen tool, but it takes up a lot of valuable space. Consider a hand mixer you can stash inside a cabinet or drawer instead. It’s not quite as able to power through the thickest of doughs, but I’ve had no trouble mixing up chocolate chip cookie dough and Irish soda bread dough with this KitchenAid hand mixer, and it spins fast enough for me to make whipped cream.

Ninja 8Inch Chef's Knife

Ninja 8-Inch Chef’s Knife

You don’t need that many knives. Ditch the 10-inch knife set: An 8- or 9-inch chef’s knife, a smaller paring knife, a bread knife, and maybe a couple of specialty blades will suffice. This general-purpose chef’s knife is recommended as our top choice for most people in our chef’s knife buying guide, thanks to its ability to hold an edge and its near-nonstick surface.

Silver frying pan with lid on top and copper colored handles

Photograph: Great Jones Goods

WIRED reviewer Louryn Strampe makes most of her meals in this cross between a skillet, a frying pan, and a sauté pan. “It doesn’t shine in one area over any other,” she says, “but it’s sturdy, it heats up evenly, and the stainless-steel surface cleans up easily in the dishwasher.”

Short device with black cylindrical base and clear container for the top with a clear lid

Photograph: Source Amazon

If you don’t have enough prep space to handle a knife safely, a food processor can slice and dice up to three cups of ingredients at a time. WIRED reviewer Medea Giordano loves using hers to make fresh pasta sauce.

Add Prep Surfaces

Image may contain Furniture Tabletop Wood and Drawer

Catskill Craftsmen Maple Cutting Board

Photograph: Wayfair 

Cutting boards take up a ton of room during meal preparation. Buy one that’s made to fit over your sink, like this solid maple cutting board. Hardwood is easier on your knife blades than bamboo, too.

Small black shelf suspended from white wall with 2 white chairs surrounding it

Photograph: IKEA

Mounting a drop-leaf table to a nearby wall can free up space in the middle of your kitchen and make it easier to walk around. Aside from offering a place to eat, it’s 20 by 36 inches of additional counter space that swings down and away when not in use.

Short small wooden slated shelf with 4 black legs

Photograph: Amazon

Burner covers add space to your cooktop by making a place to set down an extra cutting board or utensils. This bamboo workstation can cover half your stovetop. Get two for a continuous flat surface over all four burners.

A small black 2 tier cart on 4 wheels with a flat surface on top open shelving in the middle and a closed cabinet below

Photograph: Wayfair

For a tiny kitchen, stick with a rolling kitchen cart that measures 36 inches (91 centimeters) wide or less, such as this one that measures just under 30 inches (76 centimeters). It has a solid butcher-block top, three hooks for oven mitts and hanging utensils, and locking wheels. You can tuck it into a corner of your kitchen and wheel it out when you need more counter space.

How to Move in the Kitchen

kitchen interior in vintage house

Photograph: photoguns/Getty Images

Here are some tips from WIRED senior writer Scott Gilbertson, who worked in the restaurant industry for six years and knows his way around tight cooking spaces:

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Amazon Fire TV 32-inch 2-series TV review: a small TV that gives great value, but struggles elsewhere

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The 32-inch Amazon Fire TV 2-series is the entry level series in Amazon Fire TV range, below the Amazon Fire TV 4-series and Amazon Fire TV Omni QLED. It comes with a 720p panel and is priced at $199 / £249 / around AU$305. It is also available in a 40-inch size with a 1080p Full HD panel.

The Amazon 2-series has plenty to live up to following the Amazon Omni QLED, one of the best TVs of 2023, and our budget TV of the year at the TechRadar Choice Awards. Unfortunately, the Amazon 2-series doesn’t quite have the same wow factor as its more premium counterpart and faces tough competition in the best 32-inch TV category, although it does provide a very budget-friendly option for those needing a small screen. 

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This popular gaming PC vendor believes it can make AI training much more affordable for small businesses — Maingear partners with Phison to deliver a quad-GPU system using Nvidia’s RTX 6000 Ada

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The surge in demand for large-scale generative AI models has led to a significant increase in hardware requirements, making model training costly and inaccessible for many SMBs and educational establishments.

High-performance custom PC builder Maingear has partnered with storage giant Phison on a new range of Maingear Pro AI workstations that boast powerful Intel Xeon W7-3455 CPUs. 

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Thinkware F70 Pro Dash Cam review: think small

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Two-minute review

With a range of more than ten dash cams, Thinkware is no stranger to the market. In 2018, it launched the F70, a product that remains its most basic offering. The lack of mobile connectivity and built-in Wi-Fi made it difficult for users to interact with it in ways that are now expected. Thinkware has addressed these issues in a newer ‘pro’ version with more features and better interactivity; the F70 Pro. 

Landing in 2023, the F70 Pro covers all the basics very well. In terms of the design, you’ll be hard pushed to find a smaller dash cam. It sits neatly behind the rear view mirror. The downside of its size is that it doesn’t have a screen for viewing the footage. To do that, you’ll either have to connect it to your smartphone using the Thinkware app or put the microSD card into your computer.

Video can be recorded at 1080p and 30 fps, meaning there’s little to no possibility of zooming in or slowing down the footage for closer inspection. Considering this is a budget dash cam, there is no reason to expect higher resolution or slow motion modes. If you’re after a higher specification, then our best dash cams guide is worth a look.

Thinkware F70 Pro dash cam

(Image credit: Future)

Thinkware F70 Pro Dash Cam Price and Availability

The Thinkware F70 Pro Dash Cam is available on the Thinkware website for £119. The same package is available in the US, through outlets including B&H and Amazon, for $99.99.

Inside the box, you get the dash cam, a windscreen mount, a variety of electrostatic stickers, a hardwired power cable, and a sticker removal tool.

For those not wanting to hardwire the dash cam in, there is the option of purchasing a separate OBD power cable that connects to your vehicle’s OBD II socket. This enables the parking mode feature and is sold at £29.99 / $44.99

There is no GPS functionality natively, but it can be added on with the optional GPS antenna. For £20.00 in the U.K. or $29.99 in the US, you can access GPS mapping and the speed camera database.

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how a small team created the largest mouse-embryo atlas so far

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Building an atlas of all the cell types that make up the body typically requires multinational collaborations and massive budgets. But a technique that can analyse the genetic activity of hundreds of thousands of individual cells at a time has allowed one small team to produce a time-lapse atlas of an embryonic mouse’s cells over ten days of development. The atlas, which was created by three researchers in one year for approximately US$370,000, could help scientists to understand how stem cells turn into specific cell types, how organs develop and even how the body changes just after it is born.

The study, which was published in Nature in February1, “is impressive at many levels, both the scale of what they achieved and how they achieved it”, says Bertie Göttgens, a stem-cell biologist at the University of Cambridge, UK, who was not involved in the study.

Geneticist Jay Shendure at the University of Washington in Seattle doesn’t normally study mouse development. His laboratory is known for establishing molecular-biology techniques, including one called sci-RNA-seq3 that allows researchers to survey the assemblage of messenger RNA (mRNA), known collectively as the transcriptome, in individual cells.

Instead of looking at whole cells, which would be difficult to keep intact through the process, scientists grind up a sample — in this case, a whole mouse embryo — and isolate its cell nuclei. They split these nuclei into individual dishes and add a different molecular tag to the mRNA in each dish. Next, they combine the nuclei, separate them again, mark each dish with a new tag and repeat. Eventually, each nucleus acquires a unique collection of tags — a molecular barcode — that the researchers can use to determine which tags define the cell’s transcriptome. They can then sequence these cells’ mRNA and construct a ‘tree’ that models how one cell type can turn into another, doing so across multiple animals of different ages on the basis of the genes they express.

Missing moments

Two of Shendure’s lab members, postdoc Chengxiang Qiu and research scientist Beth Martin, decided to demonstrate sci-RNA-seq3 by charting the single-cell transcriptomes of embryonic mice during the animals’ roughly 19-day gestation period. At first, they collected embryos every 24 hours over a 5-day period, but the transcriptomes changed so much between time points that it was difficult to follow how stem cells turned into specific cell types over time2. Shendure likens it to a video that is missing too many frames: more like a stop-motion animation than a smooth progression.

So Martin and Qiu partnered with research scientist Ian Welsh at the Jackson Laboratory, a research institute and mouse-breeding facility in Bar Harbor, Maine. Welsh painstakingly collected 83 mouse embryos at 2–6-hour intervals over 10 days of gestation, from the point at which organs start to develop up until just after the animal’s birth. Welsh snap-froze the embryos and sent them to Seattle, where Martin collected single-cell transcriptomes. Qiu then mapped the data into trees that show when and how each of 190 cell types — liver or bone-marrow cells, for instance — originates in an embryo.

To flesh out the tree, the researchers integrated their data, which began eight days into gestation, with existing work from Shendure’s team and others that had mapped the transcriptomes of these and younger embryos. This added another 110,000 cells to the mix, and these data formed the tree’s ‘roots’, allowing the researchers to follow the branching of early stem cells into specific types seen in the older embryos.

The resulting atlas, containing the transcriptomes of mice across 45 time points, is now available for developmental biologists to study in more depth. With 12.4 million cells, it is the largest mouse-embryo atlas so far and is nearly one-quarter the size of the cell data collected by the Human Cell Atlas collaboration, which comprises 700 labs attempting to map all of the cells in the human body.

UMAP representation of an atlas of mouse cells during prenatal development

A 2D visualization of the mouse-atlas data set, with colours corresponding to 26 major cell types.Credit: C. Qiu et al./Nature

“It’s a fantastic resource for the community,” says cellular geneticist and Human Cell Atlas co-founder Sarah Teichmann at the Wellcome Sanger Institute in Hinxton, UK. Teichmann points out that there is still work to be done on the mouse atlas. Some time points have more complete transcriptomes than others, and the researchers have not yet separated mice by sex to look at those differences. But she says it will enable a number of studies, including the ability to compare mouse and human development. Shendure says he and his team plan to create single-cell atlases of juvenile and adult mice from conception to death.

Stress effects

Although Shendure and his group aim to let others conduct in-depth biological analyses of the data, they did note two phenomena in their paper. The point at which the transcriptome changed most dramatically, they found, was in the hour just after birth, which Shendure calls “the most stressful moment in your life”. Some of those differences were expected — lung and fat cells changed activity to cope with being outside the uterus, for instance — but other changes are still unclear.

Pure luck led them to another finding. To get the timing just right, Welsh typically delivered the mice by caesarean section. But one day, he returned from lunch to an unexpected nest of newborn pups. Martin processed the mice anyway and found that their transcriptomes were significantly different from those of mice born by caesarean section. Those differences could explain the variation in health outcomes seen between people who were born by these two methods, the researchers say.

Yonatan Stelzer, an epigeneticist at the Weizmann Institute of Science in Rehovot, Israel, says the study is encouraging for future efforts to map the cells of individual organs or tissues. The next step for embryos, he says, will involve not only studying how cells develop over time, but also following them through space in 3D, tracking how they split and move to form a whole mouse. Future research, he adds, could also investigate questions such as how two cells with similar transcriptomes end up with different fates to become the right or left eye, for instance. “We’re still far from solving the entire embryonic puzzle,” he says.

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‘A single chip to outperform a small GPU data center’: Yet another AI chip firm wants to challenge Nvidia’s GPU-centric world — Taalas wants to have super specialized AI chips

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Toronto-based AI chip startup Taalas has emerged from stealth with $50 million in funding and the lofty aim of revolutionizing the GPU-centric world dominated by Nvidia.

Founded by Ljubisa Bajic, Lejla Bajic, and Drago Ignjatovic, all previously from Tenstorrent (the creator of Grayskull), Taalas is developing an automated flow for quickly turning any AI model – Transformers, SSMs, Diffusers, MoEs, etc. – into custom silicon. The company claims that the resulting Hardcore Models are 1000x more efficient than their software counterparts.

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MiniCPM 2B small yet powerful large language model (LLM)

MiniCPM 2B small yet powerful AI large language model

In the rapidly evolving world of artificial intelligence, a new AI large language model (LLM) has been created in the form of the MiniCPM 2B, a compact AI LLM, offering a level of performance that rivals some of the biggest names in the field. With its 2 billion parameters, it stands as a formidable alternative to behemoths like Meta’s LLaMA 2 and Mixtral, which boast 70 billion and 7 billion parameters, respectively.

What sets the MiniCPM 2B apart is its remarkable efficiency. This model has been fine-tuned to work smoothly on a variety of platforms, including those as small as mobile devices. It achieves this by using less memory and providing faster results, which is a boon for applications that have to operate within strict resource constraints.

The fact that MiniCPM 2B is open-source means that it’s not just available to a select few; it’s open to anyone who wants to use it. This inclusivity is a big plus for the developer community, which can now tap into this resource for a wide range of projects. The MiniCPM 2B is part of a broader collection of models that have been developed for specific tasks, such as working with different types of data and solving mathematical problems. This versatility is a testament to the model’s potential to advance the field of AI.

MiniCPM 2B large language model

One of the most impressive aspects of the MiniCPM 2B is its ability to explain complex AI concepts in detail. This clarity is not just useful for those looking to learn about AI, but also for practical applications where understanding the ‘why’ and ‘how’ is crucial.

When it comes to performance, the MiniCPM 2B shines in areas such as processing the Chinese language, tackling mathematical challenges, and coding tasks. It even has a multimodal version that has been shown to outdo other models of a similar size. Additionally, there’s a version that’s been specifically optimized for use on mobile devices, which is a significant achievement given the constraints of such platforms.

However, it’s important to acknowledge that the MiniCPM 2B is not without its flaws. Some users have reported that it can sometimes provide inaccurate responses, especially when dealing with longer queries, and there can be inconsistencies in the results it produces. The team behind the model is aware of these issues and is actively working to enhance the model’s accuracy and reliability.

For those who are curious about what the MiniCPM 2B can do, there’s a platform called LMStudio that provides access to the model. Additionally, the developers maintain a blog where they share detailed comparisons and insights, which can be incredibly helpful for anyone looking to integrate the MiniCPM 2B into their work.

The introduction of the MiniCPM 2B is a noteworthy development in the realm of large language models. It strikes an impressive balance between size and performance, making it a strong contender in the AI toolkit. With its ability to assist users in complex tasks related to coding, mathematics, and the Chinese language, the MiniCPM 2B is poised to be a valuable asset for those seeking efficient and precise AI solutions.

Filed Under: Technology News, Top News





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Desktop smart vacuum former designed for makers crafters and small businesses

FORMART S Desktop smart vacuum former

Imagine having the power to create detailed molds right at your fingertips, with a device that fits neatly on your desk. The FORMART S is a sophisticated vacuum former that caters to a wide range of users, from designers and educators to hobbyists and small business owners. Despite its modest size, this machine packs a punch, offering capabilities that rival industrial equipment.

The heart of the FORMART S is a strong vacuum pump that can apply up to 90KPA of pressure. This feature is crucial for achieving high-quality molds with sharp details. No matter if you’re working on complex prototypes or straightforward art pieces, the FORMART S is designed to deliver with remarkable precision.

Limited early bird offers are now available for the out-of-the-box project from roughly $719 or £566 (depending on current exchange rates), offering a considerable discount of approximately 25% off the retail rate, while the Kickstarter crowd funding is under way.

In today’s fast-paced world, efficiency is key. The FORMART S is engineered to keep up with your workflow. It boasts an advanced carbon fiber quartz heater that heats materials faster than many other machines on the market. Combined with a well-crafted wooden CNC base plate, this machine ensures that your projects are not only completed swiftly but also meet high-quality standards.

FORMART S portable desktop vacuum former

FORMART S portable vacuum former being carried

Ease of use is a standout feature of the FORMART S. It comes equipped with a 3.5-inch color LCD screen that provides animated instructions, making the molding process straightforward. Users have the option to select between an “Advanced Mode” for experienced users and a “Simple Mode” for those just starting out. This flexibility makes the machine accessible to everyone, allowing users to focus on their creativity rather than getting bogged down by complicated equipment.

The FORMART S also shines when it comes to working with different materials. It supports a variety of 17 plastic types, each with specific heating parameters that can be easily selected from the machine’s library. The compatibility with A4 size materials gives users the freedom to experiment with different plastics, customizing their work to suit the unique demands of each project.

If the FORMART S campaign successfully raises its required pledge goal and the project completion progresses smoothly, worldwide shipping is expected to take place sometime around March 2024. To learn more about the FORMART S desktop vacuum former project glimpse the promotional video below.

FORMART S comes with a built-in database of 17 different plastic sheets for automatic parameter setting with materials as below: 

  • Polyethylene terephthalate (PET): A highly transparent material commonly used to make chocolate molds or product packaging.
  • High Impact Polystyrene (HIPS): A versatile, general-purpose white plastic commonly used for interior signage, storage trays and modeling parts.
  • Thermoplastic Polyurethanes (TPU): A highly flexible and durable transparent material, and can be used to make everything from electronic device cases to handmade soap molds.
  • Low-density polyethylene (LDPE): Durable, non-stick material, translucent food-grade plastic with fine molding details, ideal for use in turnover molds for a variety of materials such as epoxy resin, cement, and plaster.

Safety is a critical consideration in any tool, and the FORMART S vacuum former takes it seriously. It features a patented dual-lock frame and magnetic clamps that hold materials securely in place, minimizing the chance of mishaps. These safety features allow users to concentrate on their craft with peace of mind, knowing that the machine is designed with their well-being in mind.

FORMART S vacuum former features

Despite its extensive capabilities, the FORMART S is surprisingly compact, measuring just 502mm by 312mm. This small footprint means it can fit into a variety of spaces, from cramped apartments to bustling workshops, without taking up too much room.

The FORMART S is more than just a vacuum former; it’s a comprehensive tool that brings professional-grade mold making to the convenience of your desktop. With its powerful vacuum, quick heating, user-friendly interface, wide range of compatible materials, rigorous safety features, and compact design, the FORMART S stands out as an essential device for anyone serious about mold making. It’s a machine that promises to transform your creative projects with a level of precision and quality that was once only possible with larger, more expensive equipment.

FORMART S application inspiration

  • Develop unique molds for specialty gift crafts
  • Form intricate components for architects’ display models
  • Create props, costumes, and special effects prostheses
  • Make molds for eye-catching, replicable chocolates and desserts
  • Mold detailed parts for board games and RPGs
  • Weatherproof outdoor ornaments
  • Produce distinctive packaging for store products

For a complete list of all available project pledges, stretch goals, extra media and product capabilities for the desktop vacuum former, jump over to the official FORMART S crowd funding campaign page by checking out the link below.

Source : Kickstarter

Disclaimer: Participating in crowdfunding campaigns on sites like Kickstarter and Indiegogo involves inherent risks. While many projects successfully meet their goals, others may fail to deliver due to numerous challenges. Always conduct thorough research and exercise caution when pledging your hard-earned money as you might lose it all if the project fails.

Filed Under: Design News, Top News





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Easy way to run speedy Small Language Models on a Raspberry Pi

Easy way to run a speedy Small Language Model on a Raspberry Pi

Imagine transforming your Raspberry Pi into a smart conversational partner. If you have tried previously to run AI models on your Raspberry Pi been disappointed with the speeds of its responses. You will be pleased to know that there is a faster way, by installing a small language model, which can turn your mini PC into a miniaturized AI chatbot. In this article, we’ll walk you through the process of setting up the Tiny LLaMA 1.1 billion chat version 1.0 on your Raspberry Pi. This model is tailored to work within the modest power of the Raspberry Pi, making it an ideal choice for those looking to experiment with language processing without needing a supercomputer.

First things first, you’ll want to make sure your Raspberry Pi is fully updated. Having the latest software is crucial for a hassle-free installation. You’ll be cloning a specific version of the llama.cpp repository, which is a necessary step to ensure everything runs smoothly. Compiling this code is a key part of the setup, as it gets your Raspberry Pi ready to handle the language model.

Once your device is prepped, it’s time to download the Tiny LLaMA 1.1 billion chat version 1.0. This model has been trained on diverse datasets and is designed to be efficient. Understanding the model’s training, architecture, and the data it was trained on will help you grasp what it can do and its potential limitations.

Running AI models on the Raspberry Pi

Check out the fantastic tutorial created by Hardware.ai below to learn more about how you can run small language models on a Raspberry Pi without them taking forever to answer your queries. Using TinyLLaMA loaded onto Raspberry Pi using a simple barebones web server for inference.

Here are some other articles you may find of interest on the subject of Raspberry Pi 5 :

The real magic happens when you fine-tune the model’s quantization. This is where you balance the model’s size with how fast it processes information. Quantization simplifies the model’s calculations, making it more suitable for the Raspberry Pi’s limited power.

AI Raspberry Pi

To make sure the model is performing well, you’ll need to benchmark it on your device. You may need to adjust how many threads the model uses to get the best performance. While attempts to speed up the process with OpenBLAS and GPU support have had mixed results, they’re still options to consider. Initial experiments with lookup decoding aimed to speed up the model, but it didn’t quite hit the mark. Trying out different quantization methods can shed light on how they affect both the speed and the quality of the model’s output.

After you’ve optimized the model’s performance, you can set up a simple web server to interact with it. This opens up possibilities like creating a home automation assistant or adding speech processing to robotics projects.

But don’t stop there. The Raspberry Pi community is rich with tutorials and guides to expand your knowledge. Keep learning and experimenting to discover all the exciting projects your Raspberry Pi and language models can accomplish together, such as building a DIY arcade joystick or creating a wearable augmented reality display.

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TinyLlama 1.1B powerful small AI model trained on 3 trillion tokens

TinyLlama powerful AI model trained on 3 trillion tokens

If you are interested in using and installing TinyLlama 1.1B, a new language model that packs a punch despite its small size. This quick guide will take you through the process. TinyLlama is an innovative compact AI model making waves by offering high-level language processing capabilities that can be used on a variety of devices, from desktops to smartphones. It’s a big deal for developers and researchers who need advanced language understanding but don’t have the luxury of unlimited computing power.

TinyLlama 1.1B is built on the efficient Llama 2 architecture, which means it’s not only powerful but also designed to work smoothly with many different open-source projects. This is great news for users who want to add TinyLlama’s advanced features to their existing systems without any hassle. The model comes with a specialized tokenizer that ensures it can communicate effectively with other software, which is a key requirement for anyone looking to upgrade their tech with the latest AI capabilities.

The development of TinyLlama was no small feat. It underwent a rigorous 90-day training period that started on September 1st, 2023, using 16 high-performance GPUs. The goal was to make the model as efficient as possible, teaching it to understand complex language and concepts, including logic and common sense. The training process was closely watched to avoid overfitting, which can reduce a model’s effectiveness. The result is a language model that performs exceptionally well, even when compared to other models that have many more parameters.

How to install TinyLlama 1.1B

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What sets TinyLlama 1.1B apart is its ability to handle complex tasks using far fewer resources than you might expect. This efficiency is a testament to the developers’ focus on optimizing training and making sure the model learns as much as possible without wasting energy or computing power.

For those eager to try out TinyLlama, the model is readily available for download on Hugging Face, a popular platform for sharing machine learning models. This move makes cutting-edge AI technology accessible to a wide audience, from experienced developers to those just starting to dip their toes into the world of artificial intelligence.

TinyLlama 1.1B is a noteworthy development in the field of language modeling and more information is available over on the Huggingface website. It manages to balance a compact size with strong computational abilities, making it an excellent choice for anyone interested in exploring AI. Its compatibility with standard devices and ease of integration make it a valuable resource for those who want to push the boundaries of what’s possible with AI, without needing a supercomputer to do so.

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