cluster News - CNX Software - Embedded Systems News

August 28, 2025 by Debashis Das - 3 Comments

Xerxes Pi – A Raspberry Pi CM4/CM5 carrier board with a rack-friendly design (Crowdfunding)

Xerxes Pi A cross vendor compute module carrier board

Designed by Rapid Analysis in Australia, the Xerxes Pi is a cross-vendor compute module carrier board that fits into a 1U rack and supports Raspberry Pi CM4/CM5, Radxa CM5, Banana Pi CM4/CM5, and Orange Pi CM4/CM5 compute modules. Designed at just one-third the size of a Nano-ITX board (120 × 40 mm), it’s ideal for home lab and small business servers looking for a low-cost way to run Docker containers and other open-source software. For storage, the carrier board includes a microSD card, and an M.2 E-Key slot enables support for accelerators or peripherals. Additionally, it features an I²C/SPI header and optional PoE via add-on boards or splitters. The design is well thought out and comes with a thermally efficient design with ventilated enclosures, optional PLA or metal heatsinks, and open-source 3D printable rack cases (single or multi-board). With open schematics, 3D files, Xerxes Pi targets DIY electronics, clustered computing, edge servers, […]

August 5, 2025August 6, 2025 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Sipeed NanoCluster palm-sized cluster board takes up to 7 system-on-modules

Sipeed NanoCluster is a palm-sized cluster board with seven slots for Raspberry Pi CM4/CM5, Sipeed LM3H (Allwinner H618), and/or Sipeed M4N (AXera AX650N AI SoC) system-on-modules, and other compatible SoMs might also work. The board handles inter-module communication through an 8-port RISC-V-based Gigabit switch, and supports up to 60W USB-C PD or PoE (optional) power. The NanoCluster also offers independent UART and power control for each module, and is suitable as an entry-level/educational platform for HomeLab users working with distributed computing, Kubernetes, Docker, and edge computing. Sipeed NanoCluster specifications: Supported SOMs Raspberry Pi CM4 – Broadcom BCM2711 quad-core Cortex-A72 SoC @ 1.5 GHz with VideoCore VI GPU, 1GB to 8GB RAM, up to 64GB eMMC flash (optional) Raspberry Pi CM5 – Broadcom BCM2712 quad-core Cortex-A76 SoC @ 2.4 GHz with VideoCore VII GPU, 1GB to 16GB RAM, up to 64GB eMMC flash (optional) Sipeed LM3H – Allwinner H618 quad-core Cortex-A53 […]

May 1, 2025April 30, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Cerebro clusterboard supports up to four NVIDIA Jetson, Raspberry Pi CM4/CM5, or Radxa CM5 modules (Crowdfunding)

Cerebro is a modular board / clusterboard designed to take up to four system-on-modules such as NVIDIA Jetson SO-DIMM modules, Raspberry Pi CM4 or CM5, or Radxa CM5. The board integrated a BMC for intercommunication between the CPU modules. The Cerebro was designed out of frustration as the team at Sparklab Solution could not find a solution where boards would work together seamlessly. While there are other clusterboards for Raspberry Pi Compute modules, the Cerebro motherboard provides more flexibility with three M.2 sockets per node, a built-in BMC and optional expandable BMC, KVM support between each node, dual Ethernet, a 10 Gbps USB 3.2 port, and more. Specifications: Compute Modules 4x SODIMM-260 slots Compatibility Nvidia Jetson Orin NX/Nano Raspberry Pi CM4/CM5 via adapter Radxa CM5 via adapter Supports mix and match of different models Storage 2x M.2 key-M slots per node (8x in total) for NVMe SSD 1x MicroSD card […]

December 29, 2024 by Debashis Das - No Comments

Firefly’s CSB1-N10 series AI cluster servers can deliver up to 1000 TOPS of AI power with Rockchip or NVIDIA Jetson Modules

Firefly has recently introduced the CSB1-N10 series AI cluster servers designed for applications such as natural language processing, robotics, and image generation. These 1U rack-mounted servers are ideal for data centers, private servers, and edge deployments. The servers have multiple computing nodes, featuring either energy-efficient processors (Rockchip RK3588, RK3576, or SOPHON BM1688) or high-performance NVIDIA Jetson modules (Orin Nano, Orin NX). With 60 to 1000 TOPS AI power, the CSB1-N10 servers can handle the demands of large AI models, including language models like Gemma-2B and Llama3, as well as visual models like EfficientVIT and Stable Diffusion. CSB1-N10 series specifications All CSB1-N10 AI servers have the same interfaces, and the only differences are the CPU, memory, storage, multimedia, AI capabilities, and related software support. So it’s likely Firefly has made Rockchip system-on-modules compatible with NVIDIA Jetson SO-DIMM form factor, and indeed we previously noted that Firefly designed Core-1688JD4, Core-3576JD4, or Core-3588JD4 […]

September 17, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Turing Pi 2.5 mini-ITX cluster board for system-on-modules launched along with a mini-ITX enclosure

The Turing Pi 2.5 is a mini-ITX motherboard designed for clusters of system-on-modules such as Raspberry Pi CM4, NVIDIA Jetson modules, or the company’s own RK1 SoM powered by a Rockchip RK3588 AI SoC. A mini-ITX case compatible with both the Turing Pi 2 and 2.5 boards is also available. The Turing Pi 2.5 is an upgrade to the earlier Turing Pi 2 with the main key features, but some updates related to USB, HDMI output, new 8-pin connectors for I2C, audio, and GPIO pins, and BMC upgrades. While the company has just announced the start of Turing Pi 2.5 and the mini-ITX case pre-order, documentation and photos on the store and documentation website have not been updated. Everything is still about the Turing Pi 2 except for the information in the announcement. I won’t go through the specs since they are not available for the latest version, but the […]

May 5, 2024May 22, 2024 by Sponsored Post - 2 Comments

Save up to $75 on Rockchip RK3588-powered Mixtile Blade 3 SBC and Core 3588E module (Sponsored)

Mixile has launched a promotion that could save you up to $75 on the company’s Rockchip RK3588-powered devices, namely the Mixtile Blade 3 SBC that can be used standalone or integrated into a cluster and Core 3588E SO-DIMM system-on-module that follows the NVIDIA Jetson Nano, TX2 NX, Xavier NX, and Orin Nano form factor and will work with most carrier boards designed for those. The first part of the “Lucky Offer” promotion is a $50 discount coupon code (cnx50off) applicable to the Mixtile Blade 3, Mixtile Blade 3 Case, and Mixtile Cluster Box. The Mixtile Blade 3 is a pico-ITX SBC powered by a Rockchip RK3588 octa-core Cortex-A76/A55 processor, with up to 32GB RAM, up to 256GB eMMC flash, three display interfaces, an HDMI input port, dual GbE, a 30-pin GPIO header, and a U.2 connector carrying 4-lane PCIe Gen3 and SATA 3.0 signals and specifically designed for cluster applications. […]

October 20, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Mixtile Cluster Box supports four Rockchip RK3588 SBCs connected over PCIe

The Mixtile Cluster Box is comprised of four Mixtile Blade 3 Pico-ITX single board computers each powered by a Rockchip RK3588 processor and connected over a 4-lane PCIe Gen3 interface through a U.2 to PCIe/SATA breakout board. We mentioned the Cluster Box last year, but Mixtile had few details about it at the time. The company has now released more technical information, worked on the software, and just launched the box for $339 (without the SBCs). Mixtile Cluster Box specifications: Supported SBCs – Up to 4x Mixtile Blade 3 with Rockchip RK3588, up to 32GB LPDDR4 each, up to 256GB eMMC flash each Control board running OpenWrt 22.03 SoC – MediaTek MT7620A MIPS processor @ 580 MHz System Memory 256 MB DDR2 Storage – 16 MB SPI Flash PCIe Switch – ASMedia ASM2824 with four PCIe 3.0 4-lane ports Storage interfaces via 4x U.2 breakout boards 4x NVMe M.2 M-Key […]

September 19, 2023September 20, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Lichee Cluster 4A mini-ITX RISC-V cluster board launched for $929 and up

As expected, Sipeed has now launched their Lichee Cluster 4A mini-ITX cluster board and box taking up to seven RISC-V modules with prices starting at $929 on Aliexpress. All kits on offer are fitted with seven Sipeed LM4A system-on-modules based on the T-Head TH1520 quad-core RISC-V processor in either 8GB/32GB or 16GB/128GB memory and storage configuration. Lichee Cluster 4A specifications: SoM – 7x Sipeed LM4A modules with Alibaba T-Head TH1520 processor (4x C910 @ 1.85GHz) and a total of either 56 or 112GB LPDDR4X, and 224GB or 869GB eMMC flash Storage – 7x microSD card slots, one per slot Video Output – 1x HDMI port connected to slot 1 Networking 1x Gigabit Ethernet port for the cluster 1x Gigabit Ethernet port for slot 1 only 1x Ethernet for BMC control USB 7x USB 3.0 ports, one per slot 1x USB 2.0 port for BMC Power Supply – 12V DC input […]