AIRO is a runtime intelligence and diagnostics layer for large-scale AI inference serving systems. Across vLLM, SGLang, and Triton/TensorRT-LLM, AIRO correlates signals that normally live in separate worlds—model layers, kernels, Network(RDMA/RoCE), GPUs and the fabric—to expose where performance disappears, diagnose why, and identify the underlying bottleneck. The goal isn’t another dashboard of GPU metrics; it’s to make the invisible execution path of an AI workload observable, diagnosable and ultimately optimizable.
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