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Original file line number Diff line number Diff line change
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{
"subset_score": 0.57,
"baseline_delta": 0.01,
"valid": true,
"framework": "SGLang",
"precision": "BF16",
"notes": "Integrated accuracy check \u2014 used same SGLang instance as benchmark."
}
Original file line number Diff line number Diff line change
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{
"collected_at": "2026-05-07T06:55:48.459765+00:00",
"accelerators": [
{
"index": 0,
"name": "NVIDIA A100-SXM4-40GB",
"vendor": "NVIDIA",
"memory_gb": 40,
"driver_version": "565.57.01",
"firmware_version": null,
"compute_capability": "8.0",
"supports_bf16": true
}
],
"accelerator_topology": "\tGPU0\tNIC0\tNIC1\tNIC2\tCPU Affinity\tNUMA Affinity\tGPU NUMA ID\nGPU0\t X \tSYS\tSYS\tSYS\t32-63,96-127\t1\t\tN/A\nNIC0\tSYS\t X \tPIX\tNODE\t\t\t\t\nNIC1\tSYS\tPIX\t X \tNODE\t\t\t\t\nNIC2\tSYS\tNODE\tNODE\t X \t\t\t\t\n\nLegend:\n\n X = Self\n SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)\n NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node\n PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)\n PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)\n PIX = Connection traversing at most a single PCIe bridge\n NV# = Connection traversing a bonded set of # NVLinks\n\nNIC Legend:\n\n NIC0: mlx5_0\n NIC1: mlx5_1\n NIC2: mlx5_2\n\n",
"intra_node_interconnect": null,
"cpu": {
"model": "AMD EPYC 7532 32-Core Processor",
"physical_cores": 64,
"logical_cores": 128,
"numa_nodes": 2
},
"system_memory_gb": 1007.7,
"pcie_generation": "PCIe Gen 4",
"cpu_accelerator_bandwidth_gbs": null,
"network_interfaces": [
{
"name": "mlx5_0",
"type": "InfiniBand/RoCE",
"bandwidth_gbps": null
},
{
"name": "mlx5_1",
"type": "InfiniBand/RoCE",
"bandwidth_gbps": null
},
{
"name": "mlx5_2",
"type": "InfiniBand/RoCE",
"bandwidth_gbps": null
}
],
"os": "Ubuntu 22.04.4 LTS",
"python_version": "3.10.20",
"kernel_version": "5.15.0-60-generic",
"runtime_version": "CUDA 12.8",
"pytorch_version": "2.9.1+cu128"
}
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