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Devices: Wind River Linux, Arduino Robot, 96Boards and Jetson With GNU/Linux

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Hardware
  • NVIDIA container runtime for Wind River Linux

    Training and using AI models are tasks that demand significant computational power. Current trends are pointing more to deep neural networks, which include thousands, if not millions of operations per iteration. In the past year, more and more researchers have sounded the alarm on the exploding costs of deep learning. The computing power needed to do AI is now rising seven times faster than ever before [1]. These new needs are making hardware companies create hardware accelerators like Neural processing units, CPUs, and GPUs.

    Embedded systems are not an exception to this transformation. We see every day intelligent traffic lights, autonomous vehicles, intelligent IoT devices, and more. The current direction is to have accelerators inside these embedded devices, Systems On-Chip mainly. Hardware developers have embedded small accelerators like GPUs, FPGAs, and more into SOCs, SOMs, and other systems. We call these modern systems: heterogeneous computing architectures.

    The use of GPUs on Linux is not something new; we have been able to do so for many years. However, it would be great to accelerate the development and deployment of HPC applications. Containers enable portability, stability, and many other characteristics when deploying an application. For this reason, companies are investing so much in these technologies. For instance, NVIDIA recently started a project that enables CUDA on Docker [2].

    One concern when dealing with containers is the loss of performance. However, when comparing the performance of the GPU with and without the containers environment, researchers found that no additional overhead is caused [3]. The consistency in the performance is one of the principal benefits of containers over virtual machines; accessing the GPU is done seamlessly as the kernel stays the constant.

  • Spherical Quadruped Arduino Robot

    [Greg06] started learning electronics the same way most of us did: buy a few kits, read a few tutorials, and try your hardest to put a few things together. Sound familiar? After a while, you noticed your skills started increasing, and your comfort level with different projects improved as well. Eventually, you try your hand at making your own custom projects and publishing your own tutorials.

  • 96Boards CE Extended SBC taps the quad -A7 Quectel SC20 4G module

    Shiratech’s “SRT-96B-MAIN-SC20-E/A” is a 96Boards CE Extended SBC that runs Android on a Quectel SC20 module equipped with a quad -A7 Snapdragon 210, 4G LTE, GNSS, and WiFi/BT. The SBC features a CSI cam, a MEMs mic, accelerometer, and photometric sensor.

    Last week we reported on Shiratech’s Linux-driven Stinger96 96Boards IoT Edition SBC with a dual Cortex-A8 STM32MP157 SoC and a Quectel BG96 LTE CAT-M1 radio for NB-IoT communications. We now see that Shiratech has posted specs for a SRT-96B-MAIN-SC20-E/A SBC, AKA the 96Board Main with SC-20. The board uses the 96Boards Consumer Edition Extended form factor and offers 4G LTE via a Quectel SC20 module that integrates a 1.1GHz, quad -A7 Snapdragon 210.

  • Advantech Edge AI Computer and PoE NVR Feature NVIDIA Jetson Xavier NX SoM

    Following the launch of NVIDIA Jetson Xavier NX SoM last year, we noted several third-party carrier boards and embedded PCs had been announced, and we expected more to come soon. Advantech has now unveiled two systems based on NVIDIA latest module with respectively MIC-710AIX edge AI computer and MIC-710IVX NVR system equipped with eight PoE ports.

More in Tux Machines

digiKam 7.7.0 is released

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. Read more

Dilution and Misuse of the "Linux" Brand

Samsung, Red Hat to Work on Linux Drivers for Future Tech

The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. Read more

today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.