Specifications
- GPU: 128-core NVIDIA Maxwell™ architecture
- CPU: Quad-core ARM® A57
- Video: 4K @ 30 fps (H.264/H.265) encode/decode, 4K @ 60 fps (H.264/H.265)
- Camera: MIPI CSI-2 DPHY lanes, 12x (Module), 1x (Developer Kit)
- Memory: 2GB 64-bit LPDDR4, 25.6 GB/s
- Connectivity: Gigabit Ethernet
- OS Support: Linux for Tegra®
- Module Size: 70mm x 45mm
- Developer Kit Size: 100mm x 80mm
Why Choose NVIDIA Jetson Nano 2GB?
The Jetson Nano 2GB is an affordable and high-performance SBC ideal for AI and robotics beginners. Despite its lower RAM, it provides excellent support for prototyping, runs the JetPack SDK out of the box, and handles basic desktop tasks and web browsing decently. With strong first-party and community support, sample projects, and a low learning curve, it’s a solid choice for makers and developers seeking an accessible, capable SBC for AI, robotics, and general computing applications.
Specifications
- GPU: 128-core NVIDIA Maxwell™ architecture
- CPU: Quad-core ARM® A57
- Video: 4K @ 30 fps (H.264/H.265) encode/decode, 4K @ 60 fps (H.264/H.265)
- Camera: MIPI CSI-2 DPHY lanes, 12x (Module), 1x (Developer Kit)
- Memory: 2GB 64-bit LPDDR4, 25.6 GB/s
- Connectivity: Gigabit Ethernet
- OS Support: Linux for Tegra®
- Module Size: 70mm x 45mm
- Developer Kit Size: 100mm x 80mm
Why Choose NVIDIA Jetson Nano 2GB?
The Jetson Nano 2GB is an affordable and high-performance SBC ideal for AI and robotics beginners. Despite its lower RAM, it provides excellent support for prototyping, runs the JetPack SDK out of the box, and handles basic desktop tasks and web browsing decently. With strong first-party and community support, sample projects, and a low learning curve, it’s a solid choice for makers and developers seeking an accessible, capable SBC for AI, robotics, and general computing applications.