ClusBerry-2M Industrial IoT controller takes two Raspberry Pi Compute Modules 4

ClusBerry-2M Industrial IoT controller

Earlier this year, Techbase introduced the ClusBerry 9500-CM4 cluster system for industrial IoT that can take up to eight Raspberry Pi Compute Modules 4 housed in a DIN rail enclosure. But for smaller projects and IoT prototyping, the company has now designed ClusBerry-2M, a smaller cluster device including two independent ModBerry I/O mainboards and two Compute Module 4’s that’s equivalent to two ModBerry 500-CM4, but with support for software cluster management tools such as Docker and K3s Lightweight Kubernetes. The company did not share the full ClusBerry-2M specifications, but we can derive most of the features from the photos, previous products features, and the announcement: SoM – 2x Raspberry Pi Compute Module 4 with Broadcom BCM2711 quad-core Cortex-A72 processor @ 1.5 GHz, 1 to 8GB RAM, up to 32GB eMMC flash. Storage – 2x M.2 slots for NVMe SSDs Video Output – 2x HDMI 2.0 ports Connectivity 4x Gigabit Ethernet ports Optional Wi-Fi (IEEE 802.11 b/g/n/ac) & Bluetooth 5.0 module […]

ClusBerry 9500-CM4 – A Raspberry Pi CM4 cluster, industrial style

ClusBerry Industrial Raspberry Pi CM4 Cluster

Raspberry Pi cluster boards / solutions pop-up from time to time. But so far, I think we’ve seen only one based on Raspberry Pi CM4 modules with the upcoming Turing Pi 2 mini-ITX cluster board supporting four of those. TECHBASE has now unveiled a different kind of Raspberry Pi CM4 cluster with ClusBerry 9500-CM4 integrating up to eight Raspberry Pi Computer Module 4 in a DIN-Rail housing for industrial applications. ClusBerry 9500-CM4 is designed to be customizable with a choice of Raspberry Pi CM4 based modules and I/O cards: Standard 9500-CM4 cluster module with Compute Module 4 and a selection of configuration that include: I/O Controller with DI, DO, AI, 1-Wire, RS-232/485 and CAN interfaces Communication Gateway with up to 2x Ethernet, serial ports, wireless connectivity: LTE-cat.M1, 4G, 5G, LoRa, ZigBee, Z-Wave, Wireless M-Bus AI Gateway with Coral Edge TPU via PCIe M.2, or up to 4x Coral Edge TPU via USB3.0 NAS File Server RPI CM4 module with 2x […]

Jetson Mate Cluster box takes four Jetson Nano/Xavier NX modules

Jetson Mate Cluster Box

While we’ve seen plenty of cluster boards based on Raspberry Pi SBC or Compute Modules, I had never seen clusters of Jetson modules. Those already exist, and PicoCluster has a few, but what made me write this post today is Seeed Studio’s Jetson Mate cluster box equipped with a carrier board taking up to four NVIDIA Jetson Nano or Xavier NX modules, an enclosure covered with a largish cooling fan with RGB LED for good effect… Jetson Mate specifications: SoM compatibility – Jetson Nano or Jetson Xavier NX via four SO-DIMM sockets Video Output – HDMI 2.0 Networking Gigabit Ethernet (RJ45) port Microchip KSZ9896CTXC 6-port GigE Managed Switch for internal networking between the modules and to the outside world Camera – 2x MIPI CSI connectors USB – 4x USB 3.0 ports (one per module), 1x USB 2.0 port, 1x USB-C port for power Debugging – UART debug pins (4x pairs, one for each module) Misc – 12V fan, wake-up button […]

Turing Pi 2 mini-ITX cluster board takes four Raspberry Pi Compute Modules 4

Turing Pi v2

Can you remember Turing Pi mini-ITX cluster board taking up to 7 Raspberry Pi Compute Modules launched last year? Honestly, I had forgotten about it until I was asked this morning is Gumstix CM4 to CM3 adapter could be used to replace Compute Modules 3 with Compute Modules 4 in the cluster board. When I went to Turing Pi website to have a look at the board, I discovered the company had made an announcement about Turing Pi 2 cluster board specifically designed to take up to four Raspberry Pi CM4 modules. We only have the layout for the cluster board because it’s still under development. Since board-to-board connectors – as found in Raspberry Pi Computer Module 4 – are not ideal for density, the company went with a design including 260-pin SO-DIMM connectors plus CM4 adapter boards. But more on that a little later. Turing Pi 2 preliminary specifications: SoM interface – 4x 260-pin SO-DIMM slot for up to […]

Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N Arm Server

SolidRun CEx7-LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor has been found in the company’s Janux GS31 Edge AI server in combination with several Gyrfalcon AI accelerators. But now another company – Bamboo Systems – has now launched its own servers based on up to eight CEx7-LX2160A module providing 128 Arm Cortex-A72 cores, support for up to 512GB DDR4 ECC, up to 64TB NVMe SSD storage, and delivering a maximum of 160Gb/s network bandwidth in a single rack unit. Bamboo Systems B1000N Server specifications: B1004N – 1 Blade System B1008N – 2 Blade System N series Blade with 4x compute nodes each (i.e. 4x CEx7 LX2160A COM Express modules) Compute Node – NXP 2160A 16-core Cortex-A72 processor for a total of  64 cores per blade. Memory – Up to 64GB ECC DDR4 per compute node or 256GB per blade. Storage – 1x 2.5” NVMe SSD PCIe up to 8TB per compute node, or 32TB per blade […]

Linaro Connect San Diego 2019 Schedule – IoT, AI, Optimizations, Compilers and More

Linaro Connect San Diego 2019

Linaro has recently released the full schedule of Linaro Connect San Diego 2019 that will take place on  September 23-27. Even if you can’t attend, it’s always interested to check out the schedule to find out what interesting work is done on Arm Linux, Zephyr OS, and so on. So I’ve created my own virtual schedule with some of the most relevant and interesting sessions of the five-day event. Monday, September 23 14:00 – 14:25 – SAN19-101 Thermal Governors: How to pick the right one by Keerthy Jagadeesh, Software Engineer, Texas Instruments With higher Gigahertz and multiple cores packed in a SoC the need for thermal management for Arm based SoCs gets more and more critical. Thermal governors that define the policy for thermal management play a pivotal role in ensuring thermal safety of the device. Choosing the right one ensures the device performs optimally with in the thermal budget. In this presentation Keerthy Jagadeesh, co-maintainer of TI BANDGAP AND […]

FOSSASIA 2019 Schedule – March 14-17

FOSSASIA 2019 Schedule

As its name implies, FOSSASIA is a Free and Open Source Software  event taking place every year in Asia, more specifically in Singapore. I first discovered it last year, and published a virtual FOSSASIA 2018 schedule last year to give an idea about the subjects discussed at the event. It turns out FOSSASIA 2019 is coming really soon, as in tomorrow, so I’m a bit late, but I’ll still had a look at the schedule and made my own for the 4-day event.  Thursday – March 14, 2019 10:05 – 10:25 – For Your Eyes Only: Betrusted & the Case for Trusted I/O by Bunnie Huang, CTO Chibitronics Security vulnerabilities are almost a fact of life. This is why system vendors are increasingly relying on physically separate chips to handle sensitive data. Unfortunately, private keys are not the same as your private matters. Exploits on your local device still have the potential to grant bad actors access to your screen […]

K3s Lightweight Kubernetes Distribution Targets Low Resources x86 and Arm Platforms

k3s

Kubernetes (K8s) is described as a “portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available. Google open-sourced the Kubernetes project in 2014”. However, as Rancher Labs’ CEO Sheng Liang explains “existing Kubernetes distributions are often memory intensive and overly complex for edge computing environments”, so the company developed and launched K3s, a lightweight Kubernetes distribution designed for developers and operators looking for a way to run Kubernetes in resource-constrained x86, Armv7-A and 64-bit Armv8-A hardware platforms often found in edge computing environments, as opposed to the cloud. Rancher Labs managed to reduce the footprint of Kubernetes, and better adapt it to entry-level hardware by taking four main steps: Removing old and non-essential code – Alpha functionalities, all non-default admission controllers, in-tree cloud providers, and storage drivers are disabled by default, opting instead to allow users to add […]