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NVIDIA Jetson AGX Xavier Module
NVIDIA | A-000000-08171
€1,680.00
20 perc. French VAT inc.
The NVIDIA Jetson AGX Xavier is an embedded computing platform designed for edge artificial intelligence (Edge AI) applications, autonomous robotics, and advanced industrial systems.
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NVIDIA Jetson AGX Xavier – Embedded AI Module (32 GB / 64 GB)
Key features
- High-performance module designed for advanced embedded systems
- NVIDIA Volta GPU with 512 CUDA cores and 64 Tensor Cores
- 8-core NVIDIA Carmel CPU for intensive processing
- 2x NVDLA for AI workload acceleration
- 2x PVA for advanced vision processing
- Up to 64 GB of LPDDR4x memory depending on the version
- Configurable power profiles: 10 W / 15 W / 30 W
- Compatible with the NVIDIA software ecosystem: JetPack, CUDA, TensorRT, cuDNN, DeepStream, Isaac
Applications
The NVIDIA Jetson AGX Xavier targets applications requiring high computing density in a compact embedded format. It is particularly suitable for:
- autonomous robotics
- industrial vision and optical inspection
- automated logistics systems
- retail analytics and video analytics equipment
- drones and intelligent mobile systems
- smart city, healthcare, and industrial applications
Jetson AGX Xavier version comparison
The Jetson AGX Xavier family is available in two main versions. The 32 GB version is suited to advanced integrations already requiring strong computing capabilities, while the 64 GB version is better suited to applications running multiple AI models, more complex pipelines, or heavier concurrent workloads.
| Module | GPU | CPU | Memory | Storage | Power Consumption |
|---|---|---|---|---|---|
| Jetson AGX Xavier 32 GB | Volta – 512 CUDA + 64 Tensor Cores | 8-core NVIDIA Carmel Arm v8.2 | 32 GB LPDDR4x 256-bit | 32 GB eMMC 5.1 | 10 – 30 W |
| Jetson AGX Xavier 64 GB | Volta – 512 CUDA + 64 Tensor Cores | 8-core NVIDIA Carmel Arm v8.2 | 64 GB LPDDR4x 256-bit | 64 GB eMMC 5.1 | 10 – 30 W |
A powerful platform for robotics and Edge AI
The Jetson AGX Xavier provides high computing density for embedded systems requiring real-time processing of video streams, multiple sensors, and advanced artificial intelligence algorithms. Thanks to the NVIDIA JetPack software stack and associated libraries, it accelerates the development of robotics, computer vision, embedded AI, and video analytics applications.
Technical specifications of the NVIDIA Jetson AGX Xavier module
- GPU Architecture: NVIDIA Volta
- GPU: 512 CUDA cores + 64 Tensor Cores
- AI Accelerators: 2x NVDLA
- Vision Accelerator: 2x PVA
- CPU: 8-core NVIDIA Carmel Arm v8.2 64-bit
- CPU Cache: 8 MB L2 + 4 MB L3
- AI Performance: up to 32 TOPS
- Memory:
- 32 GB version: 32 GB LPDDR4x, 256-bit bus, 136.5 GB/s
- 64 GB version: 64 GB LPDDR4x, 256-bit bus, 136.5 GB/s
- Embedded Storage:
- 32 GB version: 32 GB eMMC 5.1
- 64 GB version: 64 GB eMMC 5.1
- Cameras:
- up to 6 cameras (36 via virtual channels)
- 16 lanes MIPI CSI-2
- D-PHY 1.2 up to 40 Gops
- C-PHY 1.1 up to 62 Gops
- Video Encoding (H.265):
- 4 x 4K60
- 8 x 4K30
- 16 x 1080p60
- 32 x 1080p30
- Video Decoding (H.265):
- 2 x 8K30
- 6 x 4K60
- 12 x 4K30
- 26 x 1080p60
- 52 x 1080p30
- PCI Express: 1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port & Endpoint)
- USB:
- 3 x USB 3.2 Gen2 (10 Gops)
- 4 x USB 2.0
- Network: 1 x Gigabit Ethernet
- Display: 3 multi-mode outputs DP 1.4 / eDP 1.4 / HDMI 2.0
- Interfaces: 5 x UART, 3 x SPI, 4 x I2S, 8 x I2C, 2 x CAN, PWM, DMIC, GPIOs
- Power Profiles: 10 W / 15 W / 30 W
- Dimensions: 100 x 87 mm
- Connector: 699-pin Molex Mirror Mezz Connector
- Cooling: Integrated Thermal Transfer Plate
Resources for the NVIDIA Jetson AGX Xavier module
The NVIDIA Jetson AGX Xavier is an embedded computing platform designed for edge artificial intelligence (Edge AI) applications, autonomous robotics, and advanced industrial systems.
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