The System on Module, designed for FPGA, edge AI, 5G, and image processing, features dual-core technology and supports various communication and industrial applications.
The iWave announces the launch of the iW-RainboW-G58M System on Module (SoM), using the Intel Agilex 5 FPGA Series for midrange FPGA applications. This SoM, sized at 60mm x 70mm, supports the Intel Agilex 5 FPGA and SoC E-Series family and the B32A package, which are offered in two device variants.
The SoM is suitable for wireless communications, video/broadcast, and industrial test and measurement devices. It supports 24 transceivers up to 28 Gbps, has a PCIe Gen 4 interface, and includes a 2.5 Gigabit Ethernet PHY transceiver.
Intel Agilex 5 FPGAs and SoCs build upon the industry’s AI tensor block from Intel’s previous FPGA for mid-range applications, making them suitable for edge AI applications. The FPGA series has a dual Arm Cortex-A76 and Cortex-A55 core asymmetric applications processor system, enhancing performance and power efficiency for various workloads.
Some of the key features of the SoM include:
- Agilex® 5 E- Series family with B32A Package
- Dual-core 64-bit Arm Cortex-A76 up to 1.8 GHz
- Dual-core 64-bit Arm Cortex-A55 up to 1.5 GHz
- Up to 656K Logic cells
- 32Bit 4GB LPDDR4 for HPS
- Dual 32Bit 4GB LPDDR4 for FPGA
- 32GB eMMC (Expandable)
- 1Gb QSPI Configuration flash
- Up to 2.5G Ethernet
- 24 x transceivers up to 28Gbps
- FPGA HSIO (Up to 48 LVDS/96 SE)
- FPGA HVIO (Up to 100)
- Compact Form Factor: 60mm x 70mm
- Industrial-grade support
“Exciting to see the launch of the Intel Agilex® 5 FPGA, which extends the innovations of the Intel Agilex® FPGA portfolio to midrange FPGA applications, delivering high-efficiency AI and DSP functionality,” said Immanuel Rathinam, Vice President – System on Modules at iWave. “The Intel Agilex® 5 FPGA powered System on Module provides an optimal balance in performance and power for advanced image processing, 5G wired/wireless, and edge AI applications while accelerating customers’ time to market with reduced complexity and risk.”