$199+ NVIDIA Jetson Orin Nano system-on-module delivers up to 40 TOPS

The NVIDIA Jetson Orin Nano system-on-module (SoM) is an update to the entry-level Jetson Nano edge AI and robotics module that delivers up to 40 TOPS of AI performance, meaning it’s up to 80 times faster than the original module.

The new SoM features a hexa-core Arm Cortex-A78AE processor, up to 1024-core NVIDIA Ampere architecture GPU with 32 Tensor cores, up to 8GB of RAM, and the same 260-pin SO-DIMM connector as the found in the Jetson Orin NX. mods.

Jetson Nano Orin with 8GB RAM (left) and 4GB RAM (right)

Two versions are offered with the following specifications:

Jetson Orin Nano 4GB

Jetson Orin Nano 8GB

CPU

6-core Arm Cortex-A78AE v8.2 64-bit 1.5 GHz processor with 1.5 MB L2 + 4 MB L3

GPUs

512-core 625 MHz NVIDIA Ampere GPU with 16 Tensor cores

1024-core 625 MHz NVIDIA Ampere GPU with 32 Tensor cores

AI performance

20 TOP sparse | 10 dense TOPs

40 TOP sparse | 20 dense TOPs

Memory

4GB LPDDR5 64bit 34GB/s

8GB LPDDR5 128bit 68GB/s

Storage

Supports external NVMe

Video decoding

1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)

Video encoding

1080p30 supported by 1-2 CPU cores (i.e. software encoding)

Display

1 DisplayPort 1.2 multimode 4K30 (+MST)
1x Integrated DisplayPort 1.4
1xHDMI 1.4

Camera

Up to 4x cameras (8x via virtual channels)
8 lanes MIPI CSI-2 D-PHY 2.1 (up to 20 Gbps)

Networking

Gigabit-Ethernet

USB

3x USB 3.2 Gen2 (10Gbps)
3 USB 2.0 ports

PCIe

1 x4 + 3 x1 PCIe Gen3, root port and endpoint

Other I/O

3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC and DSPK, PWM, GPIO

Power modes

5W or 10W

7W or 15W

Dimensions

69.6mm x 45mm 260 pin SO-DIMM connector

Jetson Orin Nano block diagram

This means that the Jetson Orin family now has six modules ranging from 20 TOPS to 275 TOPS. There is no specific development kit for the Jetson Orin Nano SoM as it can be emulated on the NVIDIA Jetson AGX Orin development kit and supported by the JetPack 5.0.2 SDK based on Ubuntu 20.04.

NVIDIA tested dense INT8 and FP16 pre-trained models of NGC and a standard ResNet-50 model on the new module and compared the results with previous generation entry-level modules such as the Jetson Nano and Jetson TX2NX.

Jetson Nano vs. TX2 NX vs. Jetson Orin Nano

This is a significant increase in performance, as well as price since the production Jetson Orin Nano series modules will be available in January for $199 for the Jetson Orin Nano 4GB and $299 for the Jetson Orin Nano 8GB. are unit prices for 1K orders. More details can be found on the developer’s announcement and website.

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