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Brand Name : NVIDIA
Model Number : Jetson AGX Orin Nano 8G module
Place of Origin : USA
MOQ : 1PCS
Price : To be discussed
Payment Terms : L/C, D/A, D/P, T/T
Delivery Time : 15-30 work days
Packaging Details : 69.6mm x 45mm 260-pin SO-DIMM connector
NAME : Face Recognition Nvidia AGX Orin Nano Jetson Module 8GB Edge AI Computing
Keyword : Face Recognition Nvidia AGX Orin Nano Jetson Module 8GB Edge AI Computing
AI Performance : 40 TOPs
GPU : 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores
GPU Max Frequency : 625 MHz
CPU : 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3
CPU Max Frequency : 1.5 GHz
Memory : 8GB 128-bit LPDDR5 68 GB/s
Power : 3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0
Video Encode : 1080p30 supported by 1-2 CPU cores
Video Decode : 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265)
Mechanical : 69.6mm x 45mm 260-pin SO-DIMM connector
Face Recognition Nvidia AGX Orin Nano Jetson Module 8GB Edge AI Computing
NVIDIA Orin Module
Jetson AGX Orin Nano 8GB Module
Ampere GPU + ARM Cortex-A78AE CPU + 8GB LPDDR5 Up to 40 (Sparse) INT8 TOPs and 20 (Dense) INT8 TOPs
NVIDIA Jetson Orin Nano provides three independent column address bits to each sub-partition, allowing it access different 32-byte sectors of a GOB between the sub-partitions. It provides connections between a wide variety of clients, supporting their bandwidth, latency, quality-of-service needs, and any special ordering requirements that are needed. The MSS supports a variety of security and safety features and address translation for clients that use virtual addresses.
Features:
8GB 128-bit LPDDR5
Low latency path and fast read/response path support for the CPU complex cluster
Support for low-power modes:
Software controllable entry/exit from self-refresh, power down, and deep power down o Hardware dynamic entry/exit from power down, self-refresh
 Pads use DPD mode during idle periods
High-bandwidth interface to the integrated Ampere GPU
Full-speed I/O coherence with bypass for Isochronous (ISO) traffic
System Memory-Management Unit (SMMU) for address translation based on the ARM SMMU-500
High-bandwidth PCIe ordered writes
AES-XTS encryption with 128-bit key

| AI Performance | 40 TOPS | 
| GPU | 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores | 
| GPU Max Frequency | 625 MHz | 
| CPU | 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 | 
| CPU Max Frequency | 1.5 GHz | 
| Memory | 8GB 128-bit LPDDR5 68 GB/s | 
| Storage | - (Supports external NVMe) | 
| Video Encode | 1080p30 supported by 1-2 CPU cores | 
| Video Decode | 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) | 
| PCIe | 1 x4 + 3 x1 (PCIe Gen3, Root Port, & Endpoint) | 
| USB | 3x USB 3.2 Gen2 (10 Gbps) 3x USB 2.0 | 
| Networking | 1x GbE | 
| Power | 7W - 15W | 
| Display | 1x 8K30 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1 | 
| Other I/O | 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs | 
| Mechanical | 69.6mm x 45mm 260-pin SO-DIMM connector | 
  
  
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