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Scala Computing

Measuring how AI workloads perform on a network at scale

Measuring how AI workloads perform on a network at scale.

Scala uses calibrated workload traces to simulate training and inference across the hardware, topology, and scale you want to evaluate. Use it to tune a live fleet, compare capacity providers, evaluate a network design, validate a performance claim, or test silicon before tape-out.

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