High throughput AI inference at the edge (up to ~80 TOPS) that can handle complex vision models (e.g., image classification, detection) locally
Renesa RZ/V2H 4 x Cortex-A55 @1.8GHz, 2 x Cortex-R8 @800MHz and 1 x Cortex-M33 @200MHz
DRP-AI AI accelerator supports vision AI up to 80 TOPS (sparse, skip zero weights)
Power efficiency of ~10 TOPS/W (Low-power, fanless operation)
3D GPU (Mali-G31) supports OpenGL ES 3.2/3.1/3.0/2.0, Vulkan 1.2 and OpenCL 2.0 (Full Profile)
H.264(1920×1080@ 60fps)/H.265(3840×2160 @30fps) encode and decode
8GB/16GB LPDDR4x, 128GB eMMC
HDMI, 1 x M.2 key-E (PCIe 3.0/UART/USB2.0 for WLAN), 1 x M.2 Key-B (I2S/USB2.0/USB3.2 for 4G/5G LTE), 1 x USB 2.0 OTG, 2 x USB 3.2 host, 2 x SPIs, 2x GBEs LANs and 4 x MIPI-CSI
2.00mm 50P expansion header (1 x USB 3.2 Host, 2x USB 2.0 Host, 2x CAN-FD (TTL), 2x UARTs, 2x I2C, 1x SPI and 6x GPIOs)
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