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EVK-EDGE-RZV2H
- OSM-RZ-V2H OSM v1.2 module bring-up platform for hardware and software development.
- OSM-RZ-V2H OSM v1.2 module validation platform
- Customer evaluation platform
- Customer carrier design reference
- Technical supports in higher priority from Embedian
OSM-RZV2H-LF
- High throughput AI inference at the edge (up to ~80 TOPS) that can handle complex vision models (e.g., image classification, detection) locally
- Renesas 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
- 16GB/8GB LPDDR4x, 128GB eMMC
- 1 x 4-LANE MIPI-DSI up to 1920×1080 @ 60 Hz, 2x GBEs and 4 x 4-LANE MIPI-CSI
- 2 x USB 3.2, 1 x 4-lane PCIe 3.0, 1 x USB 2.0 OTG and 1x USB2.0 host, 32x extra GPIOs
- 2 x CAN-FD, 1 x SDIOs, 4 x UARTs, 6 x I2C, 2 x I2S, 1 x QSPI, 2 x SPI, 6 x PWMs, 2x ADCs
EDGE-RZV2H
- 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)