Description

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products.

GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA cores 0.5 TFLOPs (FP16)

CPU: Quad-core ARM Cortex-A57 MPCore processor

Memory: 4 GB 64-bit LPDDR4 1600MHz – 25.6 GB/s

Storage: 16 GB eMMC 5.1 Flash

Video Encode: 250 MP/sec 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC)

Video Decode: 500 MP/sec 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC)

Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)

Connectivity: Wi-Fi requires external chip 10/100/1000 BASE-T Ethernet

Display: HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous

UPHY: 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0

I/O: 1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S

Size: 69.6 mm x 45 mm

Mechanical: 260-pin edge connector