NVIDIA, a company that’s commonly known within gaming circles is actually an 800-pound gorilla in the deep learning, machine learning, and AI space.
At the latest GPU Technology Conference, NVIDIA made a slew of announcements including the launch of Jetson Nano, a low-footprint, extremely affordable computer designed for AI workloads (I was supposed to be at the event, but couldn’t make it due to some last minute changes).
Powered by NVIDIA’s CUDA-X AI chip the ‘board’ offers over 472 GFLOPS of computing performance while sipping only 5 watts. There are two members of the Jetson Nano family – the $99 devkit and the $129 production-ready module.
Hardware specs of the Jetson Nano family:
- GPU: 128-core NVIDIA Maxwell architecture-based GPU
- CPU: Quad-core ARM A57
- Video: 4K @ 30 fps (H.264/H.265) / 4K @ 60 fps (H.264/H.265) encode and decode
- Camera: MIPI CSI-2 DPHY lanes, 12x (Module) and 1x (Developer Kit)
- Memory: 4 GB 64-bit LPDDR4; 25.6 gigabytes/second
- Connectivity: Gigabit Ethernet
- OS Support: Linux for Tegra
- Module Size: 70mm x 45mm
- Developer Kit Size: 100mm x 80mm
The $99 devkit supports desktop Linux for development and supports a plethora of peripherals and accessories. While devkit is targeted at developers and makers, the $129 module is targeted at businesses to integrated this production-ready module into their own devices.
“The Jetson Nano Developer Kit is exciting because it brings advanced AI to the DIY movement in a really easy-to-use way,” said Chris Anderson of DIY Robocars, DIY Drones and the Linux Foundation’s Dronecode project. “We’re planning to introduce this technology to our maker communities because it’s a powerful, fun and affordable platform that’s a great way to teach deep learning and robotics to a broader audience.”
On the other hand, the $129 module is designed for companies wanting to integrate into their devices.
You can order the devkit on Seed Studio.