- Pandora is a “mini AI hardware” trapped in a mini PC form factor
- It uses Nvidia’s Jetson Orin NX Super platform
- Equipped with 128GB SSD and Ubuntu operating system, the case weight is less than 500g
NVIDIAPalit’s largest plug-in board partner has been a major supplier to the global graphics card market for over 30 years. The company, best known for its line of Nvidia GeForce graphics cards, is now venturing into artificial intelligence with Pandora. mini computer Devices built for edge AI computing.
Pandora (in Youtube video discoverer video cardz) measures only 121mm x 145mm x 66mm and weighs 470g. While it resembles a mini computer, the new device is described as a “mini AI hardware” designed for tasks such as AI inference, machine learning acceleration and robotics.
Pandora is powered by the Nvidia Jetson Orin NX Super platform and is available in 8GB or 16GB RAM versions, providing 117 and 157 AI TOPS respectively. The unit comes pre-installed with a 128GB SSD, Ubuntu Linux and JetPack SDK 6.1.1, and features an active cooling system to maintain performance under load.
Good port selection
Pandora comes with two USB 3.2 Gen2 Type-A ports, one USB 3.2 Gen2 Type-C/OTC port, and two USB 2.0 Type-A ports for peripherals and legacy devices. It also includes dual Ethernet ports (2 RJ45, 1G) and an HDMI 2.0 port. For audio, there are line-out/line-in options via 3.5mm jacks or pin headers.
Through its M.2 slot, users can add SSD, Wi-Fi, Bluetooth and 5G/LTE modules. One of Pandora’s standout features is support for 3D printing extensions through customizable shells, allowing users to extend the functionality of the device – a convenient option for developers who need adaptable hardware.
Palit suggested several use cases for Pandora. In smart retail, the device can analyze customer demographic data and provide real-time personalized advertising through digital signage.
In education, it supports interactive teaching tools using object recognition and text-to-speech technology; in robotics and automation, it offers a wide range of I/O options and compatibility with Nvidia Isaac and ROS2. It can also handle demanding generative AI tasks such as natural language processing and content creation.
Pricing and release details for Pandora haven’t been announced yet, but we should know more soon.