As the first product to emerge from this exciting partnership, these new system-on-module (SOMs) are uniquely engineered and positioned as an ideal foundation for artificial intelligence (AI)-enhanced human-machine-interface (HMI) applications, industrial and building automation, video surveillance, IoT solutions, and more.
Equipped with all necessary power, memory, and I/O subsystems for expedited development:
- SOMs take advantage of the RZ/G2LC MPU’s powerful 64-bit Cortex-A55 processor cores; delivers 20% greater processing power over conventional Cortex-A53 core processors running at the same frequency
- Integrated Arm Mali-G31 3D GPU for excellent image processing capabilities without tasking CPU
- Embedded GPU adds value for its advanced AI inference execution processing capabilities, nearly 6x faster than Cortex-A53 processor-equipped devices
With a 47mm x 30mm footprint, the SOM offers pin-to-pin compatibility with SolidRun’s NXP i.MX8 Mini SOM, offering customers options when specifying hardware for IoT, building automation, security, and other applications. Because it is pin-to-pin compatible with the i.MX8 Mini SOM, customers can pair the new RZ/G2 SOM with the feature-rich Hummingboard Pulse carrier board for expedited prototyping and product development.
Since many of the industrial and automation applications that this SOM targets require a lot of time between development and release, and since these products tend to remain in operation for many years, long-term software support is a necessity. Renesas RZ/G2 MPUs adopt the Linux kernel provided by the Civil Infrastructure Platform (CIP) and provide the verified Linux Package (VLP) on the CIP Linux kernel to greatly reduce Linux maintenance required by customers. This ensures Linux software that drives devices based on the RZ/G2 platform will maintain long-term support for years to come.
To help expedite the development process, customers will be provided with an optimized board support package, stable long-term support for select software distributions, access to SolidRun’s support tools, and sample source code.