With Jetson Orin Nano 2, NVIDIA doubles inference performance while cutting power consumption. Embedded computing specialist Syslogic is announcing several rugged computers based on the new edge AI module.
For years, NVIDIA Jetson Nano has provided a particularly compact and energy-efficient entry point into the Jetson platform. Now, NVIDIA is launching the next generation with the NVIDIA Jetson Orin Nano 2. The new module delivers up to 78 TOPS (trillion operations per second) of AI performance and features 8 GB of memory and an 8-core Arm CPU.
Compared with the Jetson Orin Nano Super, NVIDIA has doubled inference performance. This is made possible, among other improvements, by enhanced Tensor Cores and increased memory bandwidth. As a result, current large language models (LLMs) and vision language models (VLMs) can also be run directly at the edge.
In addition to increased AI performance, the improved energy efficiency is particularly relevant for industrial applications. In 15-watt mode, the Jetson Orin Nano 2 consumes 40 percent less power than its predecessor at the same performance level.
Lower power consumption reduces thermal stress on the electronics and facilitates the development of compact, passively cooled embedded systems. At the same time, it provides additional thermal headroom, which is particularly beneficial for applications operating across extended temperature ranges. This makes the Jetson Orin Nano 2 well suited for mobile machinery, autonomous vehicles, and robotics applications where compact dimensions, high reliability, and low power consumption are critical.
Syslogic is announcing several IP67/IP69-rated versions of its Rugged Computer RPC RS based on the new NVIDIA Jetson Orin Nano 2. Michael Jung, Product Manager at Syslogic, says: “In the first half of 2027, we will launch the particularly compact AI Rugged Computer RPC RS with Jetson Orin Nano 2.”
In terms of performance, the new systems will serve as the entry point into Syslogic’s NVIDIA Jetson portfolio. In terms of ruggedness and longevity, however, they will meet the same demanding standards as the company’s more powerful rugged computers. The new devices will be designed for an extended temperature range of –25°C to +70°C and will feature Syslogic’s proven rugged housings.
The new embedded computers are particularly well suited for computer vision and inference tasks such as person and object detection. Typical applications include mobile machinery, autonomous vehicles, robotics, and intelligent vision systems.
The NVIDIA Jetson Orin Nano 2 module is expected to become available in the first half of 2027. Syslogic also plans to launch its Jetson Orin Nano 2-based rugged computers in the first half of 2027.
