{
  "data": {
    "division": "closed",
    "submitter": "NVIDIA",
    "status": "available",
    "system_type": "edge",
    "system_name": "NVIDIA Jetson AGX Xavier",

    "number_of_nodes": "1",
    "host_processor_model_name": "NVIDIA Carmel (ARMv8.2)",
    "host_processors_per_node": "1",
    "host_processor_core_count": "8",
    "host_processor_frequency": "2265.6 MHz",
    "host_processor_caches": "8MB L2 (2MB per dual cluster)/4 MB L3 (shared)",
    "host_memory_configuration": "",     
    "host_memory_capacity": "32 GB",
    "host_storage_capacity": "400 GB",
    "host_storage_type": "SanDisk Extreme microSD",
    "host_processor_interconnect": "",
    "host_networking": "",
    "host_networking_topology": "",

    "accelerators_per_node": "1",
    "accelerator_model_name": "NVIDIA Xavier",
    "accelerator_frequency": "",
    "accelerator_host_interconnect": "",
    "accelerator_interconnect": "",
    "accelerator_interconnect_topology": "",
    "accelerator_memory_capacity": "Shared with host",
    "accelerator_memory_configuration": "SRAM",
    "accelerator_on-chip_memories": "1MB (128KB/SM) L1 + 512KB L2 + 4MB (DLA)",
    "cooling": "",
    "hw_notes": "DLAs are not used in the Offline and MultiStream scenarios (GPU only)",

    "framework": "JetPack 4.3, TensorRT 6.0.1, cuDNN 7.6.3, CUDA 10.0.326",
    "operating_system": "Ubuntu 18.04.5",
    "other_software_stack": "PyCUDA 2019.1.2",
    "sw_notes": ""
  }
}