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Updated ClusBerry device for IoT prototyping

Recently TECHBASE introduced ClusBerry, an industrial Raspberry Pi based cluster device, utilizing up to 8x Raspberry Pi Compute Module 4 and custom cluster board with a wide range of configuration possibilities.

For smaller projects and IoT prototyping, the company designed a smaller and ready-to-deploy cluster device including two independent ModBerry I/O mainboards and two Compute Module 4’s. The ClusBerry-2M offers similar resources as double ModBerry 500-CM4 with software cluster management tools – Docker and K3s Lightweight Kubernetes solutions.

New features of multiple Compute Modules 4 brought to new ClusBerry series

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi

Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with Google Coral Edge TPU modules. You can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module. The modules are connected to each other to provide such features and allow quick healing of the dual cluster.

Reason for use of CM4 cluster in ClusBerry-2M

The introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry-2M opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

ClusBerry-2M can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry-2M series also offers two M.2 NVMe SSD slots and up to four standard miniPCIe module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ClusBerry-2M availability

Basic version of ClusBerry-2M is available in 2-4 weeks. Delivery time for various configurations of ClusBerry-2M including ExCard modules and modems can be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information please contact via our website and sign the offer here: https://clusberry.techbase.eu/

IoT technology solves challenges of predictive maintenance by enabling real-time remote status monitoring. Instead of maintaining hardware monthly or every 11 quarters, companies can use IoT health monitoring for direct maintenance. Simple IoT devices can now monitor critical performance metrics in real time and send alerts when problems start.

Now you can equip a simple internet connected microcontroller with all kinds of sensors and functions. These devices can closely monitor the health of your valuable equipment and issue maintenance alerts when needed.

Industrial IoT on the site

The cost of equipment failure tends to cascade. The failure of a single piece of machinery can bring an entire assembly line to a grinding halt. And for every hour that production has stopped, hundreds of thousands of dollars might be slipping out the door. That hiccup in production can also result in unfulfilled contracts, angry customers, and upheaval in your supply chain.

Traditionally, those types of failures were prevented by routine scheduled maintenance by specialized technicians. But as discussed earlier, scheduled maintenance is imperfect. Fear of equipment failure often drives businesses to set aggressive preventative maintenance schedules, which of course raises costs.

In fact, according to a recent paper from IBM, up to 70% of a company’s investment in preventative maintenance does not affect uptime metrics. This is due largely to the fact that only 11% of machine failures follow an age-degradation pattern. A whopping 89% occur at random.

Source: https://blog.particle.io/the-growing-power-of-iot-in-preventative-maintenance/

New features of Edge TPU brought to ModBerry series

In October 2020, with the release of the latest Compute Module 4 from Rasbperry Pi Foundation, TECHBASE announced an upgraded device from ModBerry 500 series, called ModBerry 500 CM4. Thanks to the high-performance PCI-Express bus introduced in Compute Module 4 and Raspberry Pi community, the device itself presents support for a wide range of new applications, such as use of Google’s Artificial Intelligence modules at ease.

Therefore, TECHBASE designed a new device, called ModBerry AI GATEWAY 9500-CM4, utilizing the vertical format of ModBerry 9500, latest Compute Module 4 and Google’s Coral TPU. Installation-ready AI GATEWAY allows direct application in industrial fields.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with Coral TPU enhancement 

Neuron network capabilities enhance CM4-based devices, not only collecting and sending data, but also allows local data change predictions and allows direct management on-site. This feature gives the possibility for various applications, such as data analysing and establishing trends predictions, smart alarms and smart monitoring, local notification control, etc.

Used Edge TPU coprocessor via PCI-Express bus is capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). Google Coral easily integrates with Raspberry Pi Compute Module in Linux and optionally in Windows with full support of TensorFlow Lite framework and AutoML Vision Edge solution.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU
TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with available expansion cards 

ModBerry AI GATEWAY 9500-CM4 can be equipped with serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer, OLED screen and many more features like TPM Security Chip, eSIM and SuperCap backup power support. 

ModBerry AI GATEWAY 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem, interchangeable with Coral TPU)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ModBerry AI GATEWAY 9500-CM4 availability

First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of AI GATEWAY will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here.

The latest research report on global IoT-based smart homes evaluates the opportunities and current market landscapes, and provides detailed analysis and updates of relevant sections affecting global IoT-based smart homes. This research provides in-depth insight into key market changes including drivers, constraints, trends and opportunities for IoT-based smart homes. The main purpose of market research is to provide exclusive information on how the market will function in the forecast period from 2020 to 2036.

What are the developmental trends in Smart Home Based on IoT sectors that will impact the market?

Updated ClusBerry device for Smart Home and developers

A new addition to TECHBASE’s Industrial IoT Ecosystem is a variation of recent cluster device, ClusBerry based on multiple Raspberry Pi Compute Module 4 and custom cluster board allowing free configuration from two up to eight modules. Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with up to 4 Google Coral Edge TPU modules.

You can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module. The modules are connected to internal Ethernet Switch and USB OTG to provide such feature and allow quick heal of the cluster.

Raspberry Pi Compute Module 4 Cluster for Smart Home

For home applications and with the nod to software developers, we released ClusBerry device in less industrial casing, to be used in the comfort of own house – on your desk next to PC or wall-mounted in any convenient place. ClusBerry for Home is fully modular as it’s industrial version and offers the same performance and options.

More information here: https://clusberry.techbase.eu/

New features of multiple Compute Modules 4 brought to new ClusBerry series

Accompanying the release of ModBerry 500-CM4 and AI GATEWAY 9500-CM4, we present to you a cluster version of the device, called ClusBerry 9500-CM4. Main difference between standard Gateway and ClusBerry is the possibility to include multiple Compute Module 4 in one device, as well as the intended suitable amount of wired and wireless interfaces, suited for the project.

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Reason for use of Raspberry Pi CM4 cluster in ClusBerry 9500-CM4

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi. However, the practical effectiveness of such solutions so far has not been of interest for several reasons. First of all, these solutions were most often associated with many mechanical limitations and the structure of the matrix itself required excessive wiring, preventing failure-free operation and the cost of the entire maintenance of the structure.

Raspberry Pi Compute Module 4 Cluster

This is where Raspberry Pi Compute Module can shine, but due to the hardware speed limitations of the buses in this module, it was not completely effective and was rather a development platform. Altho the introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry 9500-CM4 opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

Wide range of ClusBerry modules

ClusBerry 9500-CM4 supports up to 8 cluster modules and comes with a variety of interchangeable modules to choose from, including:

  • Standard 9500-CM4 cluster module with Compute Module 4 and chosen configuration:
    • I/O Controller with range of DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces
    • Communication Gateway with wired (1/2x Ethernet, Serial Ports) and wireless interfaces (LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus)
    • AI Gateway with 1x Coral Edge TPU via PCIe M.2, introduced in December 2020: https://iiot-shop.com/product/ai-gateway/ or up to 4x Coral Edge TPU via USB3.0
  • NAS File Server with 2x SSD SATA III and RAID support, managed with Nextcloud or ownCloud software
  • USB3.0 Hub for 5G communication, Modems, AI Cluster and peripherals
  • Gigabit LAN/WAN Router with additional 2.5GbE network card as an independent switch/router shielded from the mainboard cluster network
  • SuperCap / Power management module for backup power supply (supercapacitors / Li-Ion battery) and sleep mode management aided with ESP32-module
  • Additional expansion cards, with resources suited for the installation (DIO, AIO, Serial Ports and dedicated sensor cards, detailed below)
Raspberry Pi Compute Module 4 Cluster

ClusBerry 9500-CM4 with available expansion cards 

ClusBerry 9500-CM4 can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces
Raspberry Pi Compute Module 4 Cluster for Smart Home

Software cluster management with Docker and K3s Lightweight Kubernetes

With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry 9500-CM4 is easy and backed with a large community for further support and development. Kubernetes is a portable, extensible open-source software platform for managing containerized tasks and sites that enables declarative configuration and automation. The Kubernetes ecosystem is large and dynamically developing. Kubernetes services, support and tools are widely available.

Kubernetes provides:

  • Detection of new services and traffic. Kubernetes can balance the load and redirect the network traffic to ensure the stability of the entire installation.
  • Kubernetes data storage management enables you to automatically mount any type of storage system – on-premises, from cloud providers and others.
  • Automatic deployment and rollback. You can describe the expected state of your installation with Kubernetes, which will take care of bringing the actual state to the expected state in a controlled manner. For example, with Kubernetes, you can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module
  • Automatic management of available resources. ClusBerry 9500-CM4 provides a cluster of modules that Kubernetes can use to run tasks in containers. You determine the CPU power and RAM requirements for each container. Kubernetes arranges containers on machines in such a way as to make the best use of provided resources.
  • Self-healing Kubernetes reboots containers that have stopped working, replaces them with new ones, forces disabling containers that are not responding to certain status queries, and does not announce their availability until they are ready to run.
  • Managing confidential information and Kubernetes configuration with TPM Security Chip allows you to store and manage confidential information such as passwords, OAuth tokens and SSH keys. Secured data and configuration information can be provided and changed without having to rebuild the container image and without exposing sensitive data in the overall software configuration.
Raspberry Pi Compute Module 4 Cluster for Smart Home

ClusBerry 9500-CM4 availability

First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of ClusBerry will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here or visit product website: https://clusberry.techbase.eu.

New features of Edge TPU brought to ModBerry series

In October 2020, with the release of the latest Compute Module 4 from Rasbperry Pi Foundation, TECHBASE announced an upgraded device from ModBerry 500 series, called ModBerry 500 CM4. Thanks to the high-performance PCI-Express bus introduced in Compute Module 4 and Raspberry Pi community, the device itself presents support for a wide range of new applications, such as use of Google’s Artificial Intelligence modules at ease.

Therefore, TECHBASE designed a new device, called ModBerry AI GATEWAY 9500-CM4, utilizing the vertical format of ModBerry 9500, latest Compute Module 4 and Google’s Coral TPU. Installation-ready AI GATEWAY allows direct application in industrial fields.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with Coral TPU enhancement 

Neuron network capabilities enhance CM4-based devices, not only collecting and sending data, but also allows local data change predictions and allows direct management on-site. This feature gives the possibility for various applications, such as data analysing and establishing trends predictions, smart alarms and smart monitoring, local notification control, etc.

Used Edge TPU coprocessor via PCI-Express bus is capable of performing 4 trillion operations per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). Google Coral easily integrates with Raspberry Pi Compute Module in Linux and optionally in Windows with full support of TensorFlow Lite framework and AutoML Vision Edge solution.

TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU
TECHBASE’s AI GATEWAY series, world-first industrial gateway utilizing Raspberry Pi Compute Module 4 and Google Coral TPU

AI GATEWAY with available expansion cards 

ModBerry AI GATEWAY 9500-CM4 can be equipped with serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer, OLED screen and many more features like TPM Security Chip, eSIM and SuperCap backup power support. 

ModBerry AI GATEWAY 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem, interchangeable with Coral TPU)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ModBerry AI GATEWAY 9500-CM4 availabilityFirst prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of AI GATEWAY will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here.

Home Assistant OS version 6 includes a new daemon created by Go called the OS Agent. This gives supervisors access to more aspects of the operating system. One such aspect is moving the data to an external data drive or wiping the data and starting over without reinstalling. However, at this point, it’s important to remember that the logic required by the supervisor and front end is still under development.

Under the hood, the OS was updated to the latest upstream Linux 5.10 kernel as well as Buildroot 2021.02.1. The latest Buildroot release brings tons of new software versions along with bug and security fixes. Some key components which received an update were systemd 247 and the Docker Container Engine 20.10.6.

Source: https://www.home-assistant.io/blog/2021/06/11/home-assistant-os-release-6/

Open virtualization appliance & Google Coral support

The virtual disk images are now built from a sparse file as source, which leads to smaller effective disk image sizes. Disk images are now also distributed in the more common zip file format (except the qcow2 images which are mostly used on Linux, they continue to be in the xz compression format).

By default, the image now has a serial console enabled which is useful to access Home Assistant OS on headless host systems.

@ryddler enabled the driver for Google Coral PCIe TPU devices. This allows to use Google Coral Mini PCIe Accelerator or M.2 Accelerator on all boards supporting PCIe.

Raspberry Pi Compute Module 4 Cluster for Smart Home

ClusBerry device for Smart Home and developers

A new addition to TECHBASE’s Industrial IoT Ecosystem is a variation of recent cluster device, ClusBerry based on multiple Raspberry Pi Compute Module 4 and custom cluster board allowing free configuration from two up to eight modules. Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with up to 4 Google Coral Edge TPU modules.

You can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module. The modules are connected to internal Ethernet Switch and USB OTG to provide such feature and allow quick heal of the cluster.

For home applications and with the nod to software developers, we released ClusBerry device in less industrial casing, to be used in the comfort of own house – on your desk next to PC or wall-mounted in any convenient place. ClusBerry for Home is fully modular as it’s industrial version and offers the same performance and options.

More information here: https://clusberry.techbase.eu/

New features of multiple Compute Modules 4 brought to new ClusBerry series

Accompanying the release of ModBerry 500-CM4 and AI GATEWAY 9500-CM4, we present to you a cluster version of the device, called ClusBerry 9500-CM4. Main difference between standard Gateway and ClusBerry is the possibility to include multiple Compute Module 4 in one device, as well as the intended suitable amount of wired and wireless interfaces, suited for the project.

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Reason for use of Raspberry Pi CM4 cluster in ClusBerry 9500-CM4

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi. However, the practical effectiveness of such solutions so far has not been of interest for several reasons. First of all, these solutions were most often associated with many mechanical limitations and the structure of the matrix itself required excessive wiring, preventing failure-free operation and the cost of the entire maintenance of the structure.

Raspberry Pi Compute Module 4 Cluster

This is where Raspberry Pi Compute Module can shine, but due to the hardware speed limitations of the buses in this module, it was not completely effective and was rather a development platform. Altho the introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry 9500-CM4 opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

Wide range of ClusBerry modules

ClusBerry 9500-CM4 supports up to 8 cluster modules and comes with a variety of interchangeable modules to choose from, including:

  • Standard 9500-CM4 cluster module with Compute Module 4 and chosen configuration:
    • I/O Controller with range of DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces
    • Communication Gateway with wired (1/2x Ethernet, Serial Ports) and wireless interfaces (LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus)
    • AI Gateway with 1x Coral Edge TPU via PCIe M.2, introduced in December 2020: https://iiot-shop.com/product/ai-gateway/ or up to 4x Coral Edge TPU via USB3.0
  • NAS File Server with 2x SSD SATA III and RAID support, managed with Nextcloud or ownCloud software
  • USB3.0 Hub for 5G communication, Modems, AI Cluster and peripherals
  • Gigabit LAN/WAN Router with additional 2.5GbE network card as an independent switch/router shielded from the mainboard cluster network
  • SuperCap / Power management module for backup power supply (supercapacitors / Li-Ion battery) and sleep mode management aided with ESP32-module
  • Additional expansion cards, with resources suited for the installation (DIO, AIO, Serial Ports and dedicated sensor cards, detailed below)
Raspberry Pi Compute Module 4 Cluster

ClusBerry 9500-CM4 with available expansion cards 

ClusBerry 9500-CM4 can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry 9500-CM4 series also offers a standard PCI module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces
Raspberry Pi Compute Module 4 Cluster for Smart Home

Software cluster management with Docker and K3s Lightweight Kubernetes

With use of Docker-based and Kubernetes solutions, installation and management of ClusBerry 9500-CM4 is easy and backed with a large community for further support and development. Kubernetes is a portable, extensible open-source software platform for managing containerized tasks and sites that enables declarative configuration and automation. The Kubernetes ecosystem is large and dynamically developing. Kubernetes services, support and tools are widely available.

Kubernetes provides:

  • Detection of new services and traffic. Kubernetes can balance the load and redirect the network traffic to ensure the stability of the entire installation.
  • Kubernetes data storage management enables you to automatically mount any type of storage system – on-premises, from cloud providers and others.
  • Automatic deployment and rollback. You can describe the expected state of your installation with Kubernetes, which will take care of bringing the actual state to the expected state in a controlled manner. For example, with Kubernetes, you can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module
  • Automatic management of available resources. ClusBerry 9500-CM4 provides a cluster of modules that Kubernetes can use to run tasks in containers. You determine the CPU power and RAM requirements for each container. Kubernetes arranges containers on machines in such a way as to make the best use of provided resources.
  • Self-healing Kubernetes reboots containers that have stopped working, replaces them with new ones, forces disabling containers that are not responding to certain status queries, and does not announce their availability until they are ready to run.
  • Managing confidential information and Kubernetes configuration with TPM Security Chip allows you to store and manage confidential information such as passwords, OAuth tokens and SSH keys. Secured data and configuration information can be provided and changed without having to rebuild the container image and without exposing sensitive data in the overall software configuration.
Raspberry Pi Compute Module 4 Cluster for Smart Home

ClusBerry 9500-CM4 availability

First prototypes are being developed, since Compute Module 4 is already available for the purchase. Delivery time for various configurations of ClusBerry will be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information contact TECHBASE’s Sales Department via email or Live Chat here or visit product website: https://clusberry.techbase.eu.

There are many small and compact Arm Linux SBCs, starting from the NanoPi NEO to the Raspberry Pi Zero or Rock Pi S, but lately a smaller board based on the MStar MSC313E Cortex-A7 SoC from BreadBee with a 64MB RAM appeared, enough to run embedded Linux.

Despite MStar MSC313E being a camera processor, the camera interface does not seem exposed in the board, so it looks to be designed to control I/Os over Ethernet. There’s no WiFi for now, but there may eventually be a future model that replaced the Ethernet jack with an Ampak WiFi module.

Source: https://www.cnx-software.com/2020/04/14/breadbee-tiny-embedded-linux-sbc-mstar-msc313e-camera-soc/

BreadBee specifications:

  • SoC – MStar MSC313E Arm Cortex-A7 processor @ ~1.0 GHz with NEON, FPU, 64MB DDR2
  • Storage – 16MB SPI NOR flash
  • Networking – 10/100M Ethernet (RJ45)
  • USB – 1x Micro USB 2.0 port
  • Expansion
    • 24-pin dual-row header (2.54mm pitch) with  SPI, I2C, 4x 10-bit ADC, 3x UART, GPIOs
    • 21-pin header (1.27mm pitch) with SD/SDIO, USB 2.0, GPIOs
  • Misc – RTC, Watchdog timer
  • Power Supply – 5V via micro USB port
  • Dimensions – 32 x 30mm

Source: https://www.cnx-software.com/2020/04/14/breadbee-tiny-embedded-linux-sbc-mstar-msc313e-camera-soc/

Raspberry Pi increase in IoT significance

More and more engineers and technology providers believe that it is suitable for industrial applications in the real world. Over the past few years, there has been a lot of discussion about the use of Raspberry Pi in industry, most of which emphasize that Raspberry Pi is a great tool for engineering experiments, but not so much for industrial applications in the real world. While it is true that the Raspberry Pi is not considered the best choice for mission-critical applications, it is also true that the Raspberry Pi is no longer a platform for experimentation.

Latest Raspberry Pi 4 development board, equipped with a 1.5GHz quad-core 64-bit ARM Cortex-A72 processor (approximately 3 times better performance than previous Cortex-A53 powering Raspberry Pi 3+ Model B and Compute Module 3 and 3+). can be chosen from 1GB / 2GB / 4GB LPDDR4 SDRAM options.

Raspberry Pi 4 continues the tradition of one of the most versatile and cheapest computer devices. It can be used for virtually anything from proprietary IoT solutions to a full-fledged desktop computer. The new Malinka has two micro-HDMI ports, a Gigabit Ethernet port, two USB 3.0 type A ports and two USB 2.0 type A ports.

Industrial use of Raspberry Pi 4

A year ago, TECHBASE released an updated version of the ModBerry M500 industrial IoT computer, replacing the aging Raspberry Pi 3 with a 3B+, giving it better performance. With the recent launch of the Raspberry Pi 4, TECHBASE has yet again, announced another upgrade to the M500, which now packs the latest single-board computer.

Raspberry Pi 4, with 2xHDMI, Gigabit Ethernet and 2xUSB3.0
Raspberry Pi 4, with 2xHDMI, Gigabit Ethernet and 2xUSB3.0

Over 10 million Raspberry Pi’s have been sold and the Raspberry Pi is likely to stay as a new standard in the industry. Official Raspbian OS is free operating system based on Linux Debian optimized for the Raspberry Pi comes with over 35,000 packages, pre-compiled software bundled in a nice format for easy installation. ModBerry devices are compatible with Raspberry Pi accessories, supported by Raspberry Pi Foundation. ModBerry M500 now with Raspberry Pi 3 Model B+ / Raspberry Pi 4 Model B support.

Updated ClusBerry device for IoT prototyping

Recently TECHBASE introduced ClusBerry, an industrial Raspberry Pi based cluster device, utilizing up to 8x Raspberry Pi Compute Module 4 and custom cluster board with a wide range of configuration possibilities.

For smaller projects and IoT prototyping, the company designed a smaller and ready-to-deploy cluster device including two independent ModBerry I/O mainboards and two Compute Module 4’s. The ClusBerry-2M offers similar resources as double ModBerry 500-CM4 with software cluster management tools – Docker and K3s Lightweight Kubernetes solutions.

New features of multiple Compute Modules 4 brought to new ClusBerry series

Fully configurable devices are something desirable in the IoT market, where high performance and low cost is a key factor to success of implementation. TECHBASE’s Industrial IoT Ecosystem gives the opportunity to adjust ordered devices with certain resources and cut unnecessary I/Os, lowering the total cost of the device. 

Various implementations must have guaranteed high hardware performance to react fast enough in real time. For this purpose, the arrays of processor blocks are constructed to be assigned to individual tasks. For several years now, attempts have been made to use various types of SBC for this purpose, including, of course, Raspberry Pi

Each module can perform various tasks, from standard I/O gateway, wireless modem, Gigabit LAN router to NAS file server and AI Gateway with Google Coral Edge TPU modules. You can manage your cluster modules at ease, boot modules from one to another, upgrade firmware crosswise and provide safe operation of each module. The modules are connected to each other to provide such features and allow quick healing of the dual cluster.

Reason for use of CM4 cluster in ClusBerry-2M

The introduction of new Compute Module 4 has opened the possibility to construct and maintain effective hardware matrix solutions with the use of both PCI-Express buses and 1GBps Ethernet. Therefore, the ClusBerry-2M opens up completely new capabilities of utilizing cluster solutions for Industrial Automation and server applications.

ClusBerry-2M can be equipped with multiple expansion cards, e.g. serial RS-232/485 ports, range of digital and analog I/Os, USB, HDMI and Ethernet. Interfaces can be expanded with additional I/Os and opto-isolation, relays, Ethernet, 1-Wire, CAN, M-Bus Master and Slave, accelerometer and many more features like TPM Security Chip & eSIM. The device can also be equipped with additional SuperCap backup power source for continuous work and safe boot/shutdown in case of emergency.

ClusBerry-2M series also offers two M.2 NVMe SSD slots and up to four standard miniPCIe module support for various wireless communication protocols, such as:

  • GSM modem (4G/LTE and fast 5G modem)
  • economic NarrowBand-IoT technology
  • LoRa, ZigBee, Z-Wave, Sigfox, Wireless M-Bus
  • secondary Wi-Fi/Bluetooth interface or Wi-Fi Hi-Power
  • custom wireless interfaces

ClusBerry-2M availability

Basic version of ClusBerry-2M is available in 2-4 weeks. Delivery time for various configurations of ClusBerry-2M including ExCard modules and modems can be approximately 2 months, depending on the CM4 supply on the market and chosen expansion cards. For more information please contact via our website and sign the offer here: https://clusberry.techbase.eu/

The balena platform provides a variety of tools to build, deploy, and manage IoT applications on your device. This IoT development platform is designed for use with Linux-based devices such as Raspberry Pi and Nvidia’s Jetson TX2. The device is initially flashed on balena OS with Docker compatible container and Yocto Linux based host operating system. Therefore, you are free to choose your own development framework, but you also have to code the functionality yourself.

Key Features for Balena IoT Platform :

  • Linux containers for Single Board Computers (SBCs).
  • Support for open-source tools such as balenaOS, balenaEngine, and balenaEtcher.
  • Built on Git, Docker, and Yocto.
  • A device supervisor container to continue running and pulling new code even if an application crashes.
  • Communication between balena and the device goes through encryption at all times.

Source: https://www.cnx-software.com/2021/08/06/iot-development-platform-comparision-toit-balena-particle-microsoft-azure-iot/

ModBerry 500 CM4 an ultimate solution for IoT monitoring

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for orders. TECHBASE is leading manufacturer of Industrial Raspberry Pi and Industrial Compute Module solutions. ModBerry 500 series is fully compatible with all releases of Compute Module from Rasbperry Pi foundation.

ModBerry 500 CM4, First industrial computer based on Raspberry Pi’s Compute Module 4

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU appllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4-3200)
  • 1Gbit Ethernet interface
  • PCI 2.0 card support for NVMe SSD drive (via M.2)
  • two PCIe support for wireless modem solutions, i.e. LTE/5G modems

Raspberry Pi Compute Module 4 world premiere

Few days ago, Raspberry Foundation announced new member of its family, a Rasbperry Pi Compute Module 4. It’s quite obvious, even from the first look, that the new module is very different from its predecessors. Main difference is a new form factor, leaving DDR2 SODIMM in the past.

The same 64-bit quad-core BCM2711 application processor as in Raspberry Pi 4B, the Compute Module 4 brings higher performance: faster CPU cores, better multimedia, more interfacing capabilities, and, for the first time, a choice of RAM densities and a wireless Wi-Fi and Bluetooth connectivity options.

Compute Module 4 comes in 32 variants. Lite, as always, offers no eMMC memory, a and standard versions come with up to 8GB RAM, 32 eMMC Flash and wireless modem.

New Raspberry Pi Compute Module 4 in new form factor

New features of Compute Module 4

  • 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU as in Raspberry Pi 4 version B
  • 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
  • 8GB, 16GB or 32GB eMMC Flash storage for Standard version, Lite version without eMMC
  • Optional 2.4GHz and 5GHz IEEE 802.11b/g/n/ac wireless LAN and Bluetooth 5.0
  • Single-lane PCI Express 2.0 interface
  • Gigabit Ethernet PHY with IEEE 1588 support
  • Dual HDMI interfaces, at resolutions up to 4K
  • 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI

Source: https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/

MinCab could be a good replacement for the upcoming (and delayed) Raspberry Pi 4 Model A for anyone who wants to use the Broadcom BCM2711 processor in a more compact form factor, but to be honest, like Piunora. You can’t save space compared to a standard carrier board. This is because there are multiple ports at the cost of thickening the system.

Uptime Lab does not have any information about the carrier board on its website at this time.  It’s similar in concept, although admittedly much smaller (when the CM4 is not connected), to the open-source hardware Less-is-More (LiM) carrier board that also offers a USB-C port for power and two LED’s, as well as a MicroSD card slot for the latest version.

Source: https://www.cnx-software.com/2021/08/10/mincab-smallest-raspberry-pi-cm4-carrier-board/

ModBerry 500 CM4 an ultimate solution for IoT monitoring

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for orders. TECHBASE is leading manufacturer of Industrial Raspberry Pi and Industrial Compute Module solutions. ModBerry 500 series is fully compatible with all releases of Compute Module from Rasbperry Pi foundation.

ModBerry 500 CM4, First industrial computer based on Raspberry Pi’s Compute Module 4

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU appllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4-3200)
  • 1Gbit Ethernet interface
  • PCI 2.0 card support for NVMe SSD drive (via M.2)
  • two PCIe support for wireless modem solutions, i.e. LTE/5G modems

Raspberry Pi Compute Module 4 world premiere

Few days ago, Raspberry Foundation announced new member of its family, a Rasbperry Pi Compute Module 4. It’s quite obvious, even from the first look, that the new module is very different from its predecessors. Main difference is a new form factor, leaving DDR2 SODIMM in the past.

The same 64-bit quad-core BCM2711 application processor as in Raspberry Pi 4B, the Compute Module 4 brings higher performance: faster CPU cores, better multimedia, more interfacing capabilities, and, for the first time, a choice of RAM densities and a wireless Wi-Fi and Bluetooth connectivity options.

Compute Module 4 comes in 32 variants. Lite, as always, offers no eMMC memory, a and standard versions come with up to 8GB RAM, 32 eMMC Flash and wireless modem.

New Raspberry Pi Compute Module 4 in new form factor

New features of Compute Module 4

  • 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU as in Raspberry Pi 4 version B
  • 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
  • 8GB, 16GB or 32GB eMMC Flash storage for Standard version, Lite version without eMMC
  • Optional 2.4GHz and 5GHz IEEE 802.11b/g/n/ac wireless LAN and Bluetooth 5.0
  • Single-lane PCI Express 2.0 interface
  • Gigabit Ethernet PHY with IEEE 1588 support
  • Dual HDMI interfaces, at resolutions up to 4K
  • 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI

Source: https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/

Radxa, in collaboration with Rockchip’s Toybrick division, began sampling the new community-supported SBC built around Rockchip RK3568 with NPU. ROCK 3A is basically a little brother of ROCK Pi 4, with some improvements from the experience on ROCK Pi 4, the main features are:

  • RK3568 based, Quad A55 up to 2GHz, Mali G52 GPU, 0.8T NPU
  • pluggable eMMC module, 2/4/8GB LPDDR4 3200MT/s, dram controller frequency up to 1560MHz
  • QC/PD power support, with a new generation QC/PD protocol IC
  • Two USB2 same as ROCK Pi 4, two USB3(1x OTG+1x HOST), the two USB3 can be configured in SATA mode with a SATA breakout cable
  • GbE with PoE support
  • M.2 M key for NVMe with PCIe 3.0 x2 lanes
  • M.2 E key for connectivity with PCIe 2.0 x1/SDIO/UART, support WiFi 6 cards
  • 1x MIPI DSI, 1x MIPI CSI, compatible with ROCK Pi 4
  • 40P GPIO mostly compatible with ROCK Pi 4

Source: https://forum.radxa.com/t/new-rock-3a-brought-to-you-by-radxa-and-rockchip/6800

Radxa ROCK 3A
Radxa ROCK 3A

ROCK 3A will run Debian 10, maintained by the Toybrick team. Other community distributions will also be supported too. Early samples(few) for developers are ready. A larger batch will be available in late August 2021. As for an alternative, Raspberry Pi Compute Module 4 based devices are ready for orders.

ModBerry 500 CM4 an ultimate solution for IoT monitoring

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for orders. TECHBASE is leading manufacturer of Industrial Raspberry Pi and Industrial Compute Module solutions. ModBerry 500 series is fully compatible with all releases of Compute Module from Rasbperry Pi foundation.

ModBerry 500 CM4, First industrial computer based on Raspberry Pi’s Compute Module 4

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance of CPU appllications than previous CM3 version
  • up to 8x more RAM (8GB LPDDR4-3200)
  • 1Gbit Ethernet interface
  • PCI 2.0 card support for NVMe SSD drive (via M.2)
  • two PCIe support for wireless modem solutions, i.e. LTE/5G modems

Raspberry Pi Compute Module 4 world premiere

Few days ago, Raspberry Foundation announced new member of its family, a Rasbperry Pi Compute Module 4. It’s quite obvious, even from the first look, that the new module is very different from its predecessors. Main difference is a new form factor, leaving DDR2 SODIMM in the past.

The same 64-bit quad-core BCM2711 application processor as in Raspberry Pi 4B, the Compute Module 4 brings higher performance: faster CPU cores, better multimedia, more interfacing capabilities, and, for the first time, a choice of RAM densities and a wireless Wi-Fi and Bluetooth connectivity options.

Compute Module 4 comes in 32 variants. Lite, as always, offers no eMMC memory, a and standard versions come with up to 8GB RAM, 32 eMMC Flash and wireless modem.

New Raspberry Pi Compute Module 4 in new form factor

New features of Compute Module 4

  • 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU as in Raspberry Pi 4 version B
  • 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM
  • 8GB, 16GB or 32GB eMMC Flash storage for Standard version, Lite version without eMMC
  • Optional 2.4GHz and 5GHz IEEE 802.11b/g/n/ac wireless LAN and Bluetooth 5.0
  • Single-lane PCI Express 2.0 interface
  • Gigabit Ethernet PHY with IEEE 1588 support
  • Dual HDMI interfaces, at resolutions up to 4K
  • 28 GPIO pins, with up to 6 × UART, 6 × I2C and 5 × SPI

Source: https://www.raspberrypi.org/blog/raspberry-pi-compute-module-4/