Single-board minicomputers by Nvidia - known to all computer users primarily due to efficient graphics cards - offer excellent capabilities in the field of processing large amounts of data (e.g. multimedia), support for artificial intelligence algorithms, machine vision and many other demanding tasks. The small dimensions of the main modules, combined with powerful computing power, predestinate Nvidia minicomputers for applications in embedded systems, e.g. mobile robotics, distributed computing applications, or even compact network servers. In our offer you will find a wide range of cases designed to work with SBC minicomputers of a well-known manufacturer.
Nvidia cases
Case for Raspberry Pi and Jetson Nano with RGB fans for cluster and NAS - 8 layers - Rack Tower Pro
Eight-layer acrylic enclosure equipped with two RGB fans for better heat dissipation from your cluster or NAS server. This case is designed for Raspberry Pi or Nvidia...- Reduced price
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Re_computer case for minicomputers - Seeedstudio 114992152
Metal re_computer enclosure designed by Seeedstudio for most of the most popular mini-computers such as: Raspberry Pi, Odyssey X86J4105, Nvidia Jetson Nano and BeagleBone....E-housing for Jetson Nano - with camera holders and buttons - Waveshare 18761
Made of durable black aluminum , this case was created by Waveshare for the Nvidia Jetson Nano platform. The kit includes two utility buttons , allowing you to conveniently...Acrylic case for Nvidia Jetson Nano - transparent - Waveshare 16566
Acrylic, transparent housing for the Nvidia Jeston Nano minicomputer. Provides access to all module connectors and has a heatsink hole. The dimensions of the enclosure are...F-type aluminum case - for Nvidia Jetson Nano - Waveshare 23001
Dark gray aluminum housing for Nvidia Jetson Nano. The design of the housing allows for the optional installation of a fan (not included) for more efficient heat...Type A housing for Nvidia Jetson Orin - with camera mount - Waveshare 25334
Housing made of durable aluminum alloy created by Waveshare, intended for Jetson Orin Nano and Jetson Orin NX . Equipped with a camera holder that can be tilted up to...reComputer – a new way of thinking about minicomputer cases
Manufacturers of minicomputers and accessories dedicated to them managed to get us used to the fact that for each series of SBC main modules there are dedicated housings, usually not matching either earlier or later generations of devices from the same manufacturer. Modifications usually result from (often small) shifting of individual connectors or even changing their type (e.g. in the Raspberry Pi 4 Model B, the USB C power socket was used for the first time, which replaced the previously used microUSB). What if you designed one universal case for many families of competing minicomputers, and changed only the front panels with openings and connector descriptions? This is the approach taken by the designers from Seeedstudio, creating the reComputer housing - the upper and lower parts of the housing are unchanged elements, and depending on the minicomputer used, only the front panels need to be replaced. Not only that - even the height of the housing can be easily adapted to the needs of a given project, thanks to the additional central frame, which allows you to raise the lid by a few centimeters, necessary, for example, to place additional overlays or a hard drive inside the box.
Ready minicomputers and cases for self-assembly
In our offer you will find ready-made computers, containing not only the reComputer housing with a set of compatible panels, but also a branded motherboard with the Nvidia SoM module only. Therefore, nothing stands in the way of starting work on your own projects immediately after connecting. We also have the enclosures themselves, in which you can place the carrier plate you already have - some models are made of transparent acrylic, others of aluminum or opaque plastic. For users who value really high computing power, we have provided a special case for building a cluster or NAS server and housing up to 8 Nvidia Jetson Nano or Raspberry Pi minicomputers.