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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/

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.

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.

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 truly well, accomplishing extremely high benchmark score: 5078 for eMMC and unbelivable 13807 for NVM. SSD. For direct correlation, you can check a few tests performed by over 20.000 clients 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 500 series has gotten an update to Compute Module 4 and is accessible for pre-orders. TECHBASE is leading producer of Industrial Raspberry Pi and Industrial Compute Module applications. ModBerry 500 series is completely viable with all arrivals of Compute Module from Rasbperry Pi Foundation.

Primary highlights of refreshed device are:

  • up to 4x quicker eMMC Flash with up to 32GB capacity
  • up to 2x quicker execution than recent CM3 rendition with quad-center Cortex-A72 4×1.5GHz
  • up to 8x more RAM (8GB LPDDR4)
  • 1Gbit Ethernet interface
  • discretionary PCIe card support for NVMe SSD by M.2
  • discretionary second PCIe support for remote modem arrangements, for example 5G modems

First group of ModBerry 500 CM4 devices has just been dispatched, we are gathering orders for next batch. Hustle just a bit to get your devices rapidly!

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.

SSD/eMMC benchmark 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 truly well, accomplishing extremely high benchmark score: 5078 for eMMC and unbelivable 13807 for NVM. SSD. For direct correlation, you can check a few tests performed by over 20.000 clients 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 500 series has gotten an update to Compute Module 4 and is accessible for pre-orders. TECHBASE is leading producer of Industrial Raspberry Pi and Industrial Compute Module applications. ModBerry 500 series is completely viable with all arrivals of Compute Module from Rasbperry Pi Foundation.

Primary highlights of refreshed device are:

  • up to 4x quicker eMMC Flash with up to 32GB capacity
  • up to 2x quicker execution than recent CM3 rendition with quad-center Cortex-A72 4×1.5GHz
  • up to 8x more RAM (8GB LPDDR4)
  • 1Gbit Ethernet interface
  • discretionary PCIe card support for NVMe SSD by M.2
  • discretionary second PCIe support for remote modem arrangements, for example 5G modems

First group of ModBerry 500 CM4 devices has just been dispatched, we are gathering orders for next batch. Hustle just a bit to get your devices rapidly!

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 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 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/

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.