Jetson AGX Orin AI Processor Chip System-On-Module with 32GB Memory and 275 TOPS AI Performance featuring NVIDIA Ampere Architecture
The 900-13701-0040-000 Jetson AGX Orin™ series modules deliver up to 275 TOPS of AI performance with power configurable between 15W and 60W. This provides more than 8X the performance of Jetson AGX Xavier™ in the same compact form-factor for robotics and other autonomous machine applications.
These system-on-modules support multiple concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.
| Processor Type | ARM |
| Processor Family | Cortex-A78AE v8.2 |
| Processor Number | ARM Cortex-A78AE v8.2 |
| Processor Cores | 8 Core |
| Processor Speed | 2.2GHz |
| Form Factor | Compact |
| JTAG Support | Yes |
| Data Cache Size | 2MB/4MB |
| Number of System Memory | 1 |
| RAM Type | LPDDR5 |
| System Memory Socket Type | DRAM |
| System Memory Maximum Size | 32GB |
| System Memory Speed | 3200MHz |
| Ethernet Controller Type | RGMII |
| Ethernet | 2 |
| Ethernet Speed | 1000Mbps/10000Mbps |
| Display Type | LCD |
| Display Interface | DP/eDP/HDMI |
| Graphic Card Resolution (Pixels) | 7680*4320@DP |
| Operating Systems | JetPack SDK/Linux/RTOS |
| Minimum Operating Supply Voltage | 7V |
| Typical Operating Supply Voltage | 5V |
| Maximum Operating Supply Voltage | 20V |
| Pinout Type | SOM |
- Jetson AGX Orin 32GB
- 1792-core NVIDIA Ampere architecture GPU with 56 tensor cores
- 2x NVDLA v2.0
- 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU
- 32GB 256-bit LPDDR5
- 64GB eMMC 5.1
- PVA v2.0
- Power: Voltage input 5V, 7V-20V
- Module Power: 15W - 40W
| Part Number | Package |
|---|---|
| 5SGSED6K1F40I2G | FBGA-1517 |
| 5SGSED6K3F40I3LG | FBGA-1517 |
| 5SGSED6K3F40C2G | FBGA-1517 |
| 5SGSED6K2F40I2LG | FBGA-1517 |
| 5SGSED6K3F40C3G | FBGA-1517 |
| 5SGSED6K2F40I3G | FBGA-1517 |
| 5SGSED6K2F40I2G | FBGA-1517 |
| 5SGSED6K2F40I3LG | FBGA-1517 |
| 5SGSED6K3F40I4G | FBGA-1517 |
| 5SGSED6K1F40C2LG | FBGA-1517 |
| 5SGSED6K3F40I3G | FBGA-1517 |
| 5SGSED6K2F40C2LG | FBGA-1517 |
| 5SGSED6K2F40C2G | FBGA-1517 |
| 5SGSED6K3F40C2LG | FBGA-1517 |
| 5SGSED6K1F40C2G | FBGA-1517 |
| 5SGSED6K3F40C4G | FBGA-1517 |
| 5SGSED6N3F45C4G | FBGA-1932 |
| 5SGSED6N2F45I3LG | FBGA-1932 |
| 5SGSED6N2F45C2LG | FBGA-1932 |
| 5SGSED6N2F45C3G | FBGA-1932 |
| 5SGSED6N3F45I3G | FBGA-1932 |
| 5SGSED6N3F45I3LG | FBGA-1932 |
| 5SGSED6N2F45I2G | FBGA-1932 |
| 5SGSED6N3F45C2G | FBGA-1932 |
| 5SGSED6N1F45C2G | FBGA-1932 |
| 5SGSED6N2F45C2G | FBGA-1932 |
| 5SGSED6N1F45I2G | FBGA-1932 |
| 5SGSED6N2F45I2LG | FBGA-1932 |
| 5SGSED6N3F45I4G | FBGA-1932 |
| 5SGSED6N3F45C3G | FBGA-1932 |
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