NVIDIA

NVIDIA Jetson Orin Nano Super Developer Kit

Entry-level Jetson developer kit rated at up to 67 INT8 TOPS for compact robots, cameras and vision gateways.

Close-up of a compact edge AI system-on-module with heatsink mounted on a carrier board

Overview

A developer kit built around the Jetson Orin Nano module, pairing a six-core Arm Cortex-A78AE CPU with an Ampere GPU and 8 GB of LPDDR5 memory. It runs the JetPack SDK, so models built with CUDA and TensorRT move to production Jetson modules without a change of toolchain.

Typical use cases

  • Autonomous mobile robots
  • Multi-stream video analytics
  • Vision gateways

Deployment environment

Bench development, then embedded into a carrier board or enclosure

Key specifications

AI performance
Up to 67 TOPS (INT8, sparse)
GPU
NVIDIA Ampere, 1,024 CUDA cores, 32 Tensor cores
CPU
6-core Arm Cortex-A78AE
Memory
8 GB LPDDR5
Power
Configurable, up to 25 W
Software
JetPack SDK, CUDA, TensorRT

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

High-performance edge AI module with large heatsink on an engineering bench
NVIDIA

NVIDIA Jetson AGX Orin 64GB module

Flagship Orin-generation module rated at up to 275 INT8 TOPS with 64 GB of memory for multi-sensor autonomous machines.

AI performance
Up to 275 TOPS (INT8, sparse)
GPU
2,048-core NVIDIA Ampere GPU with 64 Tensor cores
CPU
12-core Arm Cortex-A78AE
Deployment
Robot chassis, autonomous vehicle compute bay or inference appliance
Autonomous machines
Multi-camera sensor fusion
Industrial robotics
M.2 format AI accelerator module held above a circuit board
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Hailo-8 AI accelerator

Discrete 26 TOPS INT8 inference processor supplied as a chip or M.2 module to add vision analytics to an existing system.

AI performance
Up to 26 TOPS (INT8)
Architecture
Integrated neural network core, no external DRAM required
Form factor
Chip, or M.2 M-key / B+M / A+E module
Deployment
Add-in module inside an edge computer, NVR or camera
Retail video analytics
Smart city cameras
Industrial inspection
Compact M.2 AI accelerator module with memory packages visible on the board
Hailo

Hailo-10H AI accelerator

Generative-capable M.2 accelerator rated at 40 INT4 TOPS with its own LPDDR4 memory and 2.5 W typical power.

AI performance
40 TOPS (INT4) / 20 TOPS (INT8)
Memory
4 GB or 8 GB LPDDR4 / LPDDR4X
Typical power
2.5 W
Deployment
M.2 slot in an edge computer, camera or in-vehicle unit
On-device language assistants
Vision-language analytics
Automotive cabin AI