Superseded legacy board (checked 2026-10-02)

NVIDIA’s lifecycle page lists the Jetson Nano module as end-of-life with a “January 2027” date in its availability table, and states that both the Jetson Nano Developer Kit and the Nano 2GB Developer Kit have reached end of life. JetPack 4.6.6 (L4T 32.7.6) is the last JetPack that supports the Nano; current JetPack 6.2.3 covers only Orin-family modules and JetPack 7.2.1 covers Jetson AGX Thor, T5000/T4000 and Orin. For new projects use the Orin generation (for example Jetson Orin Nano Super) or Jetson AGX Thor. See physical-ai-and-humanoids for how Jetson Thor is used in humanoid robotics.

NVIDIA Jetson Nano

By NvIdia. The original Jetson Nano is an entry-level edge-AI computer for embedded and AI-IoT applications. NVIDIA’s product page (accessed 2026-10-02) still advertises it as a low-cost module (“the power of modern AI”) and links the developer kit, although the lifecycle page says the kit is end-of-life.

Specifications (NVIDIA product page)

• GPU: Maxwell, 128 CUDA cores; CPU: quad-core Arm Cortex-A57
• Memory: 4 GB LPDDR4 at 1600 MHz (25.6 GB/s on the earlier-cited page); storage: 16 GB eMMC 5.1
• Video: 4K at 60 fps decode and 4K at 30 fps encode (HEVC)
• I/O: Gigabit Ethernet, M.2 Key E, 4x USB 3.0, HDMI 2.0, eDP 1.4; module size 69.6 mm x 45 mm with a 260-pin edge connector
• Software: JetPack SDK (CUDA, cuDNN, TensorRT, multimedia libraries)

Current Jetson lineup (NVIDIA, 2026-10-02)

• Jetson AGX Thor Developer Kit: up to 2070 FP4 TFLOPS, 128 GB memory, 130 W envelope; runtime target for NVIDIA Isaac GR00T humanoid models.
• Jetson Orin Nano Super Developer Kit: 67 INT8 TOPS (vs 40 TOPS on the earlier Orin Nano kit, delivered to existing owners by software update), 8 GB 128-bit LPDDR5 at 102 GB/s, 7-25 W, Ampere GPU with 1024 CUDA cores and 32 tensor cores, 6-core Arm Cortex-A78AE. NVIDIA’s page lists no price and sends buyers to partners.
• Jetson AGX Orin Developer Kit: up to 275 TOPS.

Typical uses (earlier note, general knowledge)

Education and maker projects (for example the open-source JetBot), small robots, smart cameras and object detection. Today the same use cases are better served by Orin Nano Super.

Open items

• The 472 GFLOPS figure, 5-10 W power draw and “JetBot” starter-project details from the earlier laptop copy were not found on the pages checked (unverified, kept only as general context).
• Current street price of the Nano developer kit and the Orin Nano Super launch price are not on NVIDIA’s pages (unverified); the exact meaning of the “January 2027” lifecycle date comes from a summary of NVIDIA’s lifecycle table.
• Wikilinks in the earlier laptop copy (NVIDIA Jetson Orin, Edge AI, NVIDIA Isaac, Computer Vision, Embedded Systems) pointed to notes that do not exist and were removed.

Sources (accessed 2026-10-02)

• https://developer.nvidia.com/embedded/jetson-nano
• https://developer.nvidia.com/embedded/lifecycle
• https://developer.nvidia.com/embedded/jetpack-archive
• https://developer.nvidia.com/embedded/jetson-developer-kits
• https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/
• https://developer.nvidia.com/isaac/gr00t (accessed 2026-09-30)