{
    "key": "nvidia-jetson-orin-nano-super",
    "kind": "board",
    "source": "platform-seed",
    "status": "draft",
    "harness": {
        "gpio": {
            "notes": "40-pin header is Pi-compatible in layout but not in driver stack. Adafruit Blinka maps CircuitPython drivers onto Jetson.GPIO. That mapping is per sensor and is not implied by Pi support.",
            "library": "Jetson.GPIO",
            "pin_scheme": "board"
        },
        "flash": {
            "baud": null,
            "tool": "NVIDIA SDK Manager",
            "notes": "JetPack is written to microSD or NVMe from a host machine. SDK Manager is required for NVMe and for recovery-mode flashing.",
            "method": "sd-card",
            "port_hint": null
        },
        "probe": {
            "commands": [
                "cat /proc/device-tree/model",
                "uname -m",
                "ls /sys/bus/iio/devices/*/name",
                "ls /sys/class/hwmon/*/name",
                "ls /sys/bus/w1/devices/",
                "i2cdetect -y 1",
                "lsusb",
                "ls /dev/serial/by-id/",
                "gpiodetect",
                "gpioinfo"
            ],
            "model_file": "/proc/device-tree/model",
            "overlay_file": null
        },
        "runtime": {
            "python3": true,
            "os_family": "ubuntu",
            "package_manager": "apt",
            "service_manager": "systemd"
        },
        "verified": {
            "by": null,
            "os": null,
            "date": null,
            "reviewed_by": null,
            "evidence_url": null
        },
        "transport": {
            "ota": true,
            "tls": true,
            "notes": "Wi-Fi requires an M.2 card; only Ethernet is fitted on the bare developer kit.",
            "network": [
                "ethernet",
                "wifi"
            ],
            "mqtt_client": "paho-mqtt"
        },
        "toolchains": [
            "JetPack",
            "TensorRT",
            "Docker",
            "Jetson.GPIO"
        ],
        "local_inference": {
            "llm": {
                "notes": "1024 CUDA cores and 32 tensor cores with 8GB shared between CPU and GPU. The fastest local language model host in this registry. Super mode raises the power budget to 25W and must be enabled explicitly.",
                "viable": true,
                "runtimes": [
                    "llama.cpp",
                    "ollama",
                    "TensorRT-LLM",
                    "vLLM"
                ],
                "max_params_b": 8,
                "quantisation": [
                    "q4_k_m",
                    "awq",
                    "int4",
                    "fp16"
                ],
                "max_model_size_gb": 6
            },
            "notes": "Memory is shared between CPU and GPU, so a model that fills the GPU starves the operating system.",
            "tinyml": {
                "notes": "Purpose-built for vision inference. Multiple camera streams at once is the intended workload.",
                "viable": true,
                "frameworks": [
                    "TensorRT",
                    "DeepStream",
                    "ONNX Runtime",
                    "TensorFlow"
                ]
            },
            "viable": true,
            "accelerator": "cuda",
            "usable_memory_gb": 8
        },
        "provisioning_model": "linux-agent",
        "component_attachment": "gpio-header",
        "supported_provisioning_models": [
            "linux-agent"
        ]
    },
    "platform": {
        "cpu": "6-core Arm A78AE @ 1.5GHz",
        "ram": "16GB LPDDR5",
        "name": "NVIDIA JETSON Orin Nano Super",
        "power": [
            {
                "source": "DC Jack",
                "voltage_max": 19,
                "voltage_min": 19,
                "current_max_ma": 4740
            }
        ],
        "has_gpu": true,
        "has_npu": true,
        "has_tpu": false,
        "storage": "M.2 NVMe Gen4 Slot",
        "weight_g": 160,
        "gpio_pins": 40,
        "board_type": "AI / Edge Computing",
        "interfaces": [
            {
                "type": "DisplayPort",
                "count": 1
            },
            {
                "type": "USB-A 3.2 Gen2",
                "count": 4
            },
            {
                "type": "Ethernet",
                "count": 1
            }
        ],
        "description": "Elite-tier Orin Nano delivering 100 TOPS AI performance.",
        "adc_channels": 0,
        "dac_channels": 0,
        "manufacturer": "NVIDIA",
        "model_number": "Orin Nano Super",
        "pwm_channels": 2,
        "datasheet_url": null,
        "dimensions_mm": "100 x 80",
        "serial_protocols": [
            {
                "count": 4,
                "protocol": "I2C"
            },
            {
                "count": 3,
                "protocol": "SPI"
            },
            {
                "count": 2,
                "protocol": "UART"
            },
            {
                "count": 2,
                "protocol": "CAN"
            }
        ],
        "operating_systems": [
            {
                "name": "JetPack 6.0 (Ubuntu 22.04)"
            }
        ],
        "operating_voltage": "19V",
        "communication_chips": [
            {
                "protocol": "Ethernet",
                "standard": "Gigabit",
                "chip_model": "Realtek RTL8111H"
            }
        ]
    },
    "revision": 1
}