• The Jetson AGX Xavier 32 GB module is a high-end “System on Module” (SoM) from NVIDIA designed for embedded AI, robotics, autonomous machines.
• Part number 900-82888-0040-000 corresponds to the 32 GB memory variant of the AGX Xavier commercial product line.
• It packs a powerful heterogeneous compute architecture: Arm CPU + NVIDIA Volta GPU + vision accelerators + deep learning Specifications & Features
Here are some of the major specs (extracted from multiple datasheets):
• GPU: 512-core NVIDIA Volta architecture with 64 Tensor Cores.
• CPU: 8-core NVIDIA Carmel Arm® v8.2 (64-bit) CPU.
• Memory: 32 GB LPDDR4x (256-bit) with ~136.5 GB/s memory bandwidth.
• Storage: 32 GB eMMC 5.1 flash on the module.
• AI Performance: Up to ~32 TOPS of deep learning throughput for certain power modes.
• Power envelope: Modules support configurable power modes (around 10 W–30 W depending on configuration) for edge/embedded systems.
• I/O: Support for multiple camera inputs (MIPI CSI-2), PCIe Gen4 lanes, display outputs (HDMI, DP/eDP), and general I/O (UART, SPI, I2C, GPIO etc).
• Form-factor & connector: Module size approx 100 mm × 87 mm; 699-pin connector for carrier board.
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• This module is excellent for high-end embedded AI, robotics, autonomous machines, drones, industrial automation where you need serious compute right at the edge.
• This module gives you integration-friendly high compute in a compact module form.
• With strong GPU + tensor cores + vision/accelerator engines, you can run advanced AI models, vision pipelines, sensor fusion, real-time inference without heavy server-infrastructure.
• Designed for production-ready embedded systems (not just dev kits) — the “AGX Xavier” line is targeted at “autonomous machines” per NVIDIA documentation.
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