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.

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

Overview

The largest module in the Orin generation, combining a 2,048-core Ampere GPU with 64 Tensor cores and a twelve-core Arm Cortex-A78AE CPU. Its 64 GB of LPDDR5 memory allows several perception pipelines, planning and control to run concurrently on one device.

Typical use cases

  • Autonomous machines
  • Multi-camera sensor fusion
  • Industrial robotics

Deployment environment

Robot chassis, autonomous vehicle compute bay or inference appliance

Key specifications

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
Memory
64 GB LPDDR5, 64 GB eMMC 5.1
Power
15–60 W configurable
Software
JetPack SDK, CUDA, TensorRT, cuDNN

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.

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

AI performance
Up to 67 TOPS (INT8, sparse)
GPU
NVIDIA Ampere, 1,024 CUDA cores, 32 Tensor cores
CPU
6-core Arm Cortex-A78AE
Deployment
Bench development, then embedded into a carrier board or enclosure
Autonomous mobile robots
Multi-stream video analytics
Vision gateways
M.2 format AI accelerator module held above a circuit board
Hailo

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