Sfera Labs’ Strato Pi CM, CM Duo and Iono Pi Max now available with up to 8 GB of RAM
Sfera Labs has boosted the computing power of its Strato Pi CM family of compact Raspberry Pi-based Compute Module (CM) servers and Iono Pi Max Industrial PLC, providing support for the new Raspberry Pi Compute Module 4S (CM4S) with 4GB and 8GB RAM.
Sfera Labs introduced Strato Pi CM, a powerful, compact, 2 DIN-Rail module edge-computing server, in 2018. In 2019, Strato Pi CM Duo – the first Raspberry Pi-based device supporting dual SD cards – was added to the Strato Pi CM product line. In 2023, Sfera Labs introduced the enhanced v3 version, adding support for the CM4S and a much more accurate on-board real time clock. These products play a critical role where reliability and fault tolerance are essential; for example, distributed edge computing solutions, where servers are often installed in remote locations and expected to have a very long service life yet where physical access to the devices is limited and expensive. In these conditions, it is crucial to allow safe in-field software and firmware upgrades and to implement specific features to recover from hardware and software issues.
The Iono Pi Max integrates the CM4S core with all of the digital and analog input and output lines, power relays, and support for standard interfaces expected of modern PLCs. Backward compatibility with the Raspberry Pi CM3+ core protects the investment in existing designs while allowing designers to improve performance and extend system functionality. Iono Pi Max incorporates digital and analog I/O, NO/NC relays, UPS support, RS-232, RS-485, CAN interfaces, dual µSD cards, highly accurate on-board real time clock, a hardware watchdog, and a secure element chip. Target applications include data acquisition, energy management, building automation, access control, and environmental monitoring.
Both the Strato Pi CM/CM Duo v3 and the Iono Pi Max v2 are fully compatible with the toolsets, programming languages, and development frameworks available for Raspberry Pi so that developers can make use of a vast array of third-party software resources to quickly develop advanced and robust automation solutions.
