Package Information
| Lead Count (#) | 1992 |
| Pitch (mm) | 0.8 |
| Pkg. Type | FCBGA |
Environmental & Export Classifications
| ECCN (US) | 3A991.a.2 |
| HTS (US) | 8542.31.0070 |
| Pb (Lead) Free | |
| Moisture Sensitivity Level (MSL) |
Product Attributes
| Lead Count (#) | 1992 |
| 3D GPU | GE7800 600MHz |
| Accelerator | 4x ISP, 6x IMR, 2x DOF, 2x STV, 4x ACF, 2x SMD, 2x DSP |
| Application Core | 8 x CA761, 8GHz/93k DMIPS |
| Audio Codec | No |
| Auto I/F | 8x CAN 2.0B/FD, Flexray |
| CPU | Cortex-A76 x 8, Cortex-R52 x 2 |
| Computer Vision / Frequency | 8CVe / 533MHz |
| DDR Interface | 128-bit LPDDR4-4266 |
| Deep Learning (TOPS) | 66 TOPS |
| Ethernet | 6x Gbit AVB |
| Flash Interface | 2x QSPI, 1x eMMC |
| High Speed | 4x PCIe 4.0 |
| Highest ASIL Level | Up to ASIL D |
| Key Features | 4x UART, 6x SPI, 7x I2C, Security, JTAG |
| Parametric Applications | ADAS/AD |
| Pitch (mm) | 0.8 |
| Pkg. Type | FCBGA |
| Real Time Core Freq / KDMIPS | CR52 Lockstep, 1GHz, 2k DMIPS |
| Video Codec | H.264 Enc, H.264 Codec |
| Video Input | 4x MIPI-CSI2 |
| Video Output | 2x MIPI CSI2, 2x DU |
Resources for R-Car-V3U
Description
The R-Car V3U SoC, based on the R-Car Gen 4 architecture, is the latest member of the open and innovative Renesas autonomy platform for ADAS and AD. The platform offers scalability from entry-level NCAP applications up to highly automated driving systems with the R-Car V3U providing up to 96k DMIPS and 60TOPS. The SoC integrates multiple sophisticated safety mechanisms that provide high coverage with fast detection and response for random hardware faults, achieving ASIL D metrics for the majority of the SoC processing chain, as well as reducing design complexity, time to market and system cost. It delivers highly flexible DNN (Deep Neural Processing) and AI machine learning functions. Its flexible architecture can handle any state-of-the-art neural networks providing up to 60 TOPS with low power consumption allowing air cooling systems. The R-Car V3U comes with an open and integrated development environment that enables customers to take advantage of the R-Car platform’s built-in hardware benefits, as well as low power consumption and deterministic real-time software to enable fast time-to-market for computer vision and deep learning-based solutions.