{
  "dataset": "jetson-platform-selection-matrix",
  "version": "2026-08-18",
  "scope": "Official NVIDIA public product-page fields for selecting Jetson platforms in physical AI and robotics deployments.",
  "method": "Performance claims retain NVIDIA's original unit and condition. TOPS, FP4 TFLOPS, and model benchmark results are not normalized or ranked across records.",
  "records": [
    {
      "platform": "Jetson Orin Nano Series",
      "official_ai_performance": "up to 67 TOPS",
      "memory_options": ["4 GB", "8 GB"],
      "power_range": "7 W to 25 W",
      "selection_signal": "Power- and space-constrained edge inference; validate model and sensor-buffer memory first.",
      "source_url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/"
    },
    {
      "platform": "Jetson Orin NX Series",
      "official_ai_performance": "up to 157 TOPS",
      "memory_options": ["8 GB", "16 GB"],
      "power_range": "10 W to 40 W",
      "selection_signal": "More edge inference and I/O headroom while retaining a constrained device power envelope.",
      "source_url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/"
    },
    {
      "platform": "Jetson AGX Orin Series",
      "official_ai_performance": "up to 275 TOPS",
      "memory_options": ["32 GB", "64 GB", "Industrial variant"],
      "power_range": "15 W to 60 W",
      "selection_signal": "Multi-model or multi-sensor workloads that still fit the installed carrier, power, and thermal design.",
      "source_url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/"
    },
    {
      "platform": "Jetson Thor T4000",
      "official_ai_performance": "1200 FP4 TFLOPS (sparse)",
      "memory_options": ["64 GB 256-bit LPDDR5X", "273 GB/s"],
      "power_range": "40 W to 70 W",
      "selection_signal": "Higher-memory, multi-sensor workloads when the system can support Thor's power and software migration requirements.",
      "source_url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/"
    },
    {
      "platform": "Jetson Thor T5000",
      "official_ai_performance": "2070 FP4 TFLOPS (sparse)",
      "memory_options": ["128 GB 256-bit LPDDR5X", "273 GB/s"],
      "power_range": "40 W to 130 W",
      "selection_signal": "High-memory, high-sensor-density, and generative edge AI workloads after full carrier, cooling, and field validation.",
      "source_url": "https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-thor/"
    }
  ],
  "software_note": "JetPack 7 officially supports Jetson Orin and Jetson Thor. Jetson Thor uses an SBSA software stack; target-hardware validation remains required.",
  "software_source_url": "https://developer.nvidia.com/embedded/jetpack",
  "limitations": [
    "A module specification does not guarantee carrier-board, camera, CAN, network, container, or custom BSP compatibility.",
    "Official performance claims are not independent field benchmarks and do not prove safety, task success rate, or real-time-control suitability.",
    "Prices, availability, distributors, and regional support are deliberately excluded."
  ]
}