I finally got my order of the long backordered - Nvidia Jetson ORIN NANO AI/ML Developer Kit. I will be testing and reporting on AI/ML/LLM benchmarks and projects made using this.
I still own the Jetson Nano kit as well.
The NVIDIA Jetson Orin Nano is an edge AI computer available in an 8GB and a 4GB module, featuring an NVIDIA Ampere architecture GPU with 1024 CUDA cores (8GB version) and a 6-core Arm® Cortex®-A78AE CPU. It offers up to 67 INT8 TOPS of AI performance (8GB module), is equipped with 8GB (or 4GB) of LPDDR5 memory, and supports external storage via microSD and NVMe. The device is designed for edge AI applications, offering a balance of performance, power efficiency (7W-15W for the 8GB module), and a compact form factor.
Here's a breakdown of the key specs for the 8GB Jetson Orin Nano module:
GPU
Architecture: NVIDIA Ampere
CUDA Cores: 1024
Tensor Cores: 32
AI Performance: Up to 40 INT8 TOPS (dense) / 67 INT8 TOPS (sparse)
CPU
Cores: 6-core Arm® Cortex®-A78AE v8.2 64-bit
Cache: 1.5MB L2 + 4MB L3
Clock Speed: Up to 1.5 GHz (original) or 1.7 GHz (Super version)
Memory
Capacity: 8GB
Type: 128-bit LPDDR5
Bandwidth: 68 GB/s (original) or 102 GB/s (Super version)
Storage
Supports microSD card for the base OS
Supports external NVMe SSDs via M.2 Key M slot
Power
Power Modes: 7W, 15W (and a new 25W "Super" mode)
Key Features
Size: Compact, ~69.6mm x 45mm
Connectivity: USB ports, GbE, HDMI/DP output, and multiple I/O options
Applications: Ideal for edge AI applications, robotics, smart vision systems, and more
Picture:
Picture - Bootup, and firmware updating. I used a 128Gb MicroSD card and downloaded the latest firmware from this link - click here.
Unboxing video:
