RAID support for NVMe SSD with Raspberry Pi Compute Module 4 for IIoT

With latest Raspberry Pi Compute Module 4, the Raspberry Foundation added NVMe SSD support via M.2 (PCIe 2.0) interface. Jeff Geerling tested 3 piece M.2 SSD RAID array which is another example how Compute Module 4 is a milestone in IoT applications.

SSD/eMMC benchmark scores for Compute Module 4

With the debut of Raspberry Pi Compute Module 4 and ModBerry 500 CM4 from TECHBASE, another addition came to Industrial Controllers and Edge Automation. New module carried the likelihood to associate NVMe SSD module by means of M.2 slot utilizing PCIe 2.0 interface.

Common test of storage for Raspberry Pi is a solution from James A. Chambers’ blog found here: https://jamesachambers.com/raspberry-pi-4-usb-boot-config-guide-for-ssd-flash-drives/?amp=1. Following test steps allows you to benchmark storage performance and shows a score based on registered storage parameters.

Storage test scores for Compute Module 4

We took our ModBerry 500 CM4 device, utililizing latest Raspberry Pi Compute Module 4 and carried two test:

  • eMMC built-in standard Raspberry Pi Compute Module 4
  • selected NVMe SSD via M.2 slot

Both eMMC and SSD drive perfomed really well, achieving very high benchmark score: 5078 for eMMC and unbelivable 13807 for NVM. SSD. For direct comparison, you can check some tests performed by over 20.000 users of this benchmark here: https://jamesachambers.com/2020s-fastest-raspberry-pi-4-storage-sd-ssd-benchmarks/?amp

Score of eMMC on ModBerry 500 CM4
Score of NVMe SSD on ModBerry 500 CM4

More benchmark scores can be found here: https://storage.jamesachambers.com/

Order next batch of Raspberry Pi Compute Module 4 devices

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for pre-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.

Main features of updated device are:

  • up to 4x faster eMMC Flash with up to 32GB storage
  • up to 2x faster performance than previous CM3 version with quad-core Cortex-A72 4×1.5GHz
  • up to 8x more RAM (8GB LPDDR4)
  • 1Gbit Ethernet interface
  • optional PCIe card support for NVMe SSD drive (via M.2)
  • optional second PCIe support for wireless modem solutions, e.g. 5G modems

First batch of ModBerry 500 CM4 devices has already been shipped, we are gathering orders for next batch. Hurry up to get your devices quickly!

Modular ARM based industrial with PC style expansion slots

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. 

Raspberry Pi Compute Module 4 Cluster

Reason for use of 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

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

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.

World-first industrial AI Gateway with CM4 and Coral TPU for Machine Learning

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.

ModBerry 500 with Compute Module 4 available for pre-order

TECHBASE’s ModBerry industrial computer series has received an update to Compute Module 4 and is available for pre-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 apllications 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 mPCIe or optionally via M.2)
  • optional second PCIe support for wireless modem solutions, i.e. 5G modems

First orders will be ready with subject to the availability of the CM4 module itself.

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/

Raspberry Pi Compute Module 4 premiere a new milestone

A day 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/

Compute Module 4 cutting edge in Industrial IoT

Few months ago IoT Industrial Devices predicted a possible release date for Compute Module 4 in Standard and Lite version:

Upcoming Raspberry Pi Compute Module 4 possible release date
Raspberry Pi release timeline with probable Compute Module 4 release date

First Rasbperry Pi 1B model had it’s analogy in industrial Compute Module 1 after almost 2 years from it’s premiere. Compute Module 2 was probably omitted because the change from RPi1 to RPI2 mainly involved a minor change of the processor (Cortex-A7 900MHz), which was almost immediately replaced with Cortex-A53 1.2GHz in Raspberry Pi 3.

The premiere of Compute Module 3 occured a year after RPI 3 announcement, providing a significant boost of industrial market solutions. Since Raspberry Pi 4 was a great success in 2019, we might see it’s equivalent in industrial series of Raspberry Pi – Compute Module 4. A possible release date of Raspberry Pi’s Compute Module 4 is mid-2020.

Raspberry Pi Compute Module 4 high-density connector

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and many input/output changes, became new standard in small, embedded PC world.

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, probably called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board?

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series.

 ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

New Raspberry Pi Compute Module 4 features confirmed

According to latest leaks about Compute Module 4 specifiaction and features we can be more than sure that:

  • New Compute Module will feature Wi-Fi and Bluetooth on-board! Raspberry Pi Compute Module series will probably include versions with and without these modems to provide modules for variety of industrial applications.
  • PCI-Express line will be available externally to enable extension support via PCIe
  • Ethernet support will be enabled, most probably 1Gbps, since it is a standard in latest Raspberry Pi 4B.
  • 5x UART will be available to Compute Module 4 users

Official Raspberry Pi’s information about upcoming Compute Module 4

In recent interview with Eben Upton, the CEO of Raspberry Pi Trading, we finally had Raspberry Pi Compute Module 4 release confirmation, probably in 2021. He shared some details about the upcoming CM4 features, such as single-lane NVMe support.

The Raspberry Pi Compute Module, CM4, we will support NVMe to some degree on that,  because of course, it [Raspberry Pi 4] has a PCI Express channel. (…) We have a single lane Gen 2 which is used to supply USB 3.0 on the Raspberry Pi [4]. On the [Compute] Module that would be exposed to the edge connector and we’re likely to support NVMe over that.

Eben Upton, CEO of Raspberry Pi Trading

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and PCIe/NVMe support, CM4 might be a black horse of industrial automation in 2021.

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board?

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

Raspberry Pi Compute Module 4 probable specification

Compute Module 4 specifications probably will look like these:

  • Broadcom BCM2711, Quad core Cortex-A72 @ 1.5GHz will highly plausible replace previous Broadcom BCM2837B0, Cortex-A53 64-bit SoC @ 1.2GHz,
  • 1GB, 2GB or 4GB LPDDR4-3200 SDRAM will become a standard options, instead of fixed 1GB LPDDR2 SDRAM,
  • PCIe/NVMe support via single lane
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

With much higher performance, the new Raspberry Pi Compute Module 4 will, for sure, support Gigabit Ethernet, USB 3.0 expansions with PCIe/NVMe single lane. We might even see wider working temperature range, if Raspberry Pi Foundation decides to make some hardware changes, to follow, for example, ESP32 – used in end-point IoT automation.

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series. Upcoming Raspberry Pi’s Compute Module 4 will be fully compatible with TECHBASE’s ModBerry 500/9500 controllers, oferring extended features.

 ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.

Raspberry Pi Compute Module 4 with PCie/NVMe support next year

In recent interview with Eben Upton, the CEO of Raspberry Pi Trading, we finally had Raspberry Pi Compute Module 4 release confirmation, probably in 2021. He shared some details about the upcoming CM4 features, such as single-lane NVMe support.

The Raspberry Pi Compute Module, CM4, we will support NVMe to some degree on that,  because of course, it [Raspberry Pi 4] has a PCI Express channel. (…) We have a single lane Gen 2 which is used to supply USB 3.0 on the Raspberry Pi [4]. On the [Compute] Module that would be exposed to the edge connector and we’re likely to support NVMe over that.

Eben Upton, CEO of Raspberry Pi Trading

First Rasbperry Pi 1B model had it’s analogy in industrial Compute Module 1 after almost 2 years from it’s premiere. Compute Module 2 was probably omitted because the change from RPi1 to RPI2 mainly involved a minor change of the processor (Cortex-A7 900MHz), which was almost immediately replaced with Cortex-A53 1.2GHz in Raspberry Pi 3.

The premiere of Compute Module 3 occured a year after RPI 3 announcement, providing a significant boost of industrial market solutions. Since Raspberry Pi 4 was a great success in 2019, we might see it’s equivalent in industrial series of Raspberry Pi – Compute Module 4. A possible release date of Raspberry Pi’s Compute Module 4 is somewhere inbetween 2020/2021.

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Only a few months later, in June 2019, came big premiere of Raspberry Pi 4 Model B, the long-awaited successor of customer RPi3+. With new processor, larger RAM options and PCIe/NVMe support, CM4 might be a black horse of industrial automation in 2021.

It seems a matter of time before the Raspberry Pi Compute Module 3+ will get its own successor, called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board?

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

Raspberry Pi Compute Module 4 probable specification

Compute Module 4 specifications probably will look like these:

  • Broadcom BCM2711, Quad core Cortex-A72 @ 1.5GHz will highly plausible replace previous Broadcom BCM2837B0, Cortex-A53 64-bit SoC @ 1.2GHz,
  • 1GB, 2GB or 4GB LPDDR4-3200 SDRAM will become a standard options, instead of fixed 1GB LPDDR2 SDRAM,
  • PCIe/NVMe support via single lane
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

With much higher performance, the new Raspberry Pi Compute Module 4 will, for sure, support Gigabit Ethernet, USB 3.0 expansions with PCIe/NVMe single lane. We might even see wider working temperature range, if Raspberry Pi Foundation decides to make some hardware changes, to follow, for example, ESP32 – used in end-point IoT automation.

Industrial use of Compute Module

With Compute Module 3+ options from Raspberry Pi, TECHBASE upgraded their ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series. Upcoming Raspberry Pi’s Compute Module 4 will be fully compatible with TECHBASE’s ModBerry 500/9500 controllers, oferring extended features.

 ModBerry 500 with Compute Module 3+
ModBerry 500 with Compute Module 3+

Higher performance of ModBerry 500/9500 with extended eMMC flash memory, up to 32GB , powered by quad-core Cortex A53 processor allows the device to smoothly run Windows 10 IoT Core system, opening up many possibilities for data management, remote control and visualisation.


ModBerry M500 series with SSD/M.2 support and next level configurability

In 2017, TECHBASE Group introduced an industrial-grade automation controller, based on popular Raspberry Pi 3 board. The device called ModBerry M500 incorporated latest Raspberry Pi SBC and TECHBASE’s standard industrial board to enhance the capabilities of market RPi3.

ModBerry M500 added wide range of I/Os to the board, including RS232/485 serial ports, digital and analog I/Os, 10/100Mbps Ethernet port, USB, 1-Wire and optional CAN. ModBerry series also offers additional wired interfaces and wireless communication modules with their proprietary modules called ExCard. The range of wireless modules include 3G/LTE, NarrowBand-IoT (NB-IoT), Wireless M-Bus, ZigBee, LoRa, Sigfox, Wi-Fi, Bluetooth and many more.

Rasbperry Pi 4 upgrade of ModBerry M500

In 2019, with the premiere of Raspberry Pi 4, TECHBASE upgraded their ModBerry M500 device with the latest revision of this popular SBC, further enhancing the performance of their device. New 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+). ModBerry M500 can now be configured from 2GB / 4GB LPDDR4 SDRAM options.

Revised ModBerry M500 features Gigabit Ethernet, USB3.0, two microHDMI ports supporting OpenGL ES 3.x and 4Kp60 hardware decode of HEVC video. The device is fully compatible with previous versions of Rasbperry Pi based Industrial IoT devices and accessories from TECHBASE.

M.2 SSD support for ModBerry M500

Latest software update for Raspberrry Pi 4, now available in beta, makes it possible to boot directly from USB 3.0 connected drive, without the need for an SD card. With a possibility to run the OS directly from SSD is a massive breakthrough, allowing users to improve the performance of the system and data access speed.

ModBerry M500 offers now a feature to include M.2 SSD drive in industrial-grade device. The merge of industrial interfaces and SSD-boosted Raspberry Pi 4 is a perfect solution for on-site data management and gateway application.

ModBerry M500 roadmap for 2020+

Difficult times of coronavirus outbreak in early 2020 changed the expectations for new Industrial IoT devices. Slowed market needed some adjustments to overly expanded devices with reserve of not quite necessary features for different applications – often raising the price of the device.

New addition to ModBerry M series and Industrial IoT Ecosystem offered by TECHBASE Group is the revised ModBerry M500 Lite device, to ensure the full configurability of device’s resources.

ModBerry M500 Lite features:

  • Quad-core ARM Cortex-A72 1.5GHz processor
  • 2/4GB and new 8GB LPDDR4 RAM option
  • SSD M.2 support for mass storage boot
  • Industrial-grade enclosure with DIN-rail mount
  • RTC

ModBerry M500 Lite optional resources:

  • Serial RS232/422/485 ports
  • Digital and Analog I/Os
  • Relays
  • 10/100Mbps Ethernet
  • CAN, 1-Wire
  • M-Bus Master / Slave
  • TPM Security chip
  • OLED 0.96” screen
  • SuperCap UPS

New ModBerry M500 Lite not only is a versatile device with wide array of available optional resources, but also incredible fast with quad 1.5GHz processor, up to 8GB RAM and last but not least, M.2 SSD bootable drive for system, applications and rapid data availability, without the need to bootstrap an SD card. RTC with watchdog option and additional TPM Security chip ensures data safety and breach protection.

Pricing and availability of ModBerry M500 Lite

Price of the device is yet to be specified, but it will be significantly lower than standard ModBerry M500, which can be configured here. Preliminary devices are available to order – please contact our sales department via contact form or Live Chat at https://iiot-shop.com/ to receive a quotation for the configuration needed.

RANKING OF 80+ OPEN SOURCE VENTILATOR PROJECTS TO FIGHT COVID-19

When the news came out that ventilator shortages could be a problem, many saw the need for alternatives to the big manufacturers and rushed to create them. Unlike industrial projects, these projects were open and shared. Currently, Robert Reed and his group are starting to systematically evaluate the ranking of over 80 such open source projects.

Their work is a milestone in public research and development efforts to solve problems. For many ventilator builders, the group recognized the need for independent evaluation and testing of various projects. This control provides important feedback to both designers and future builders. This is a service you can expect from government regulators if they can act very quickly.

Reid and colleagues Geoff Mulligan, Lauria Clarke, Juan E. Villacres Perez and Avinash Baskaran to help to learn about these studies. This includes submission of modular team designs that allow distributed production and unique suggestions for testing and monitoring these systems. This is called VentMon.

Industrial Arduino-like devices as a base of medical equipment?

When industrial IoT devices and edge devices, like medical equipment work together, digital information becomes more powerful. Especially in contexts where you need to collect data in a traditional edge context, or control the servo-motors of a ventilatr. You can then remotely monitor the container using the sensor.

By introducing AI (artificial intelligence) into the device itself, edge computing can also make more context-sensitive, quick decisions at the edge. Data gathered from the sensors can be transferred to the cloud at any time after local work has been completed, contributing to a more global AI process, or archived. With the combination of industrial IoT devices and advanced technology, high quality analysis and small footprint will become the AI standard in 2020.

Industrial IoT use of ESP32 chip in eModGATE

Latest innovations used in industrial solutions

One of many uses of IoT can be edge devices, dedicated to data management, process control (e.g. with MQTT protocol) and monitoring. Latest ESP32-based eModGATE controller from TECHBASE company is a series utilizing MicroPython environment to provide data management solutions for end-points applications. The eModGATE has built-in Wi-Fi/BT modem and can be equipped with additional NarrowBand-IoT, LoRa, ZigBee, etc.

For example eModGATE eqipped with wireless NB-IoT modem are perfect for industrial automation solutions, e.g. data logging, metering, telemetrics, remote monitoring, security and data management through all Industrial IoT applications.

Possible Raspberry Pi Compute Module 4 specification with Cortex-A72

Possible Raspberry Pi Compute Module 4 specification

It a matter of time before we will see Raspberry Pi Compute Module 3+ successor, probably called Compute Module 4, a new milestone of professional embedded IoT module. What might be the specification of this highly expected development board? What changes will it bring to Industrial use of IoT?

Raspberry Pi is gaining recognition in Industry

Almost a year ago, in the beginning of 2019, Raspberry Pi Foundation presented Raspberry Pi Compute Module 3+, a successor to previous CM3 version of development board, aimed at businesses and industrial users. The Compute Module uses a standard DDR2 SODIMM (small outline dual in-line memory module) form factor. GPIO and other I/O functions are routed through the 200 pins on the board.

Raspberry Pi Compute Module 3+
Raspberry Pi Compute Module 3+

What Raspberry Pi Compute Module 4 specification might look like

  • Broadcom BCM2711, Quad core Cortex-A72 @ 1.5GHz will highly plausible replace previous Broadcom BCM2837B0, Cortex-A53 64-bit SoC @ 1.2GHz,
  • 1GB, 2GB or 4GB LPDDR4-3200 SDRAM will become a standard options, instead of fixed 1GB LPDDR2 SDRAM,
  • Current flash memory (eMMC) options: 8GB / 16GB / 32GB from CM3+ will probably stay the same,
  • H.265 (4kp60 decode), H264 (1080p60 decode, 1080p30 encode) might replace outdated H.264 (1080p30),
  • and OpenGL ES 3.0 graphics will replace 1.1, 2.0 versions,
  • weight and factor will stay the same, to provide a possibility to upgrade current IoT applications of CM3 and CM3+

A Lite 4 version of Compute Module is to be expected too, without eMMC and probably limited SDRAM options.

TECHBASE’s ModBerry device with RPi Compute Module 3+

With Compute Module 3+ options from Raspberry Pi, we upgraded our ModBerry 500/9500 industrial computers. From now on the ModBerry 500/9500 can be supported with extended eMMC, up to 32GB. Higher memory volume brings new features available for ModBerry series.