Three devices reduced the task time of five sub-Agents from 18 minutes to 8 minutes and 48 seconds. This is NVIDIA’s newly released open-source tool, PAIR. It is most commonly misunderstood as “combining multiple GPUs into one.” In reality, it does not merge GPU memory or split individual models. It simply assigns different requests to idle computers on the local network. My assessment: PAIR addresses concurrent multi-Agent workloads, not insufficient GPU memory. It will be highly practical for users with multiple home computers; running a single large model will not magically become faster. GitHub: https://t.co/bPjzZdjEeN
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