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NVIDIA Jetson AGX Orin 32GB Module


  1. Product: AI edge computer
  2. AI Performance: 200 TOPS (INT8)
  3. GPU: NVIDIA Ampere architecture with 1792 NVIDIA CUDA® cores and 56 Tensor Cores
  4. Max GPU Freq: 930 MHz
  5. CPU: 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
  6. CPU Max Freq: 2.2 GHz

112,599.00 122,599.00

The NVIDIA Jetson AGX Orin™ 32GB module delivers up to 200 TOPS of AI performance with power configurable between 15W and 40W. This gives you more than 6X the performance of Jetson AGX Xavier in the same compact form factor for robotics and other autonomous machine use cases.

This system-on-module supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.

Jetson runs the NVIDIA AI software stack, and use-case-specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using the NVIDIA TAO toolkit to fine-tune pre-trained AI models from the NGC™ catalog.

Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.

Jetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.


Package Includes:

1 x NVIDIA Jetson AGX Orin 32GB Module

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