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The MindLab Orchestrator is architected on a foundational principle of neuroscience: the brain is, first and foremost, a prediction machine. It is not passively reacting to the world; it is actively and constantly generating a model of what will happen next. This predictive capability is the key to its remarkable efficiency. The Orchestrator applies this principle to the world of distributed AI, functioning not as a simple workflow router, but as a high-performance predictive scheduler for a heterogeneous agentic workforce. While traditional workflow engines are hardwired for deterministic software, the Orchestrator is designed for the probabilistic and unreliable world of AI agents. It is an engine designed to solve the two fundamental bottlenecks that plague large-scale Mixture-of-Experts (MoE) inference and training: workload imbalance and communication contention.
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