AI workload performance
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.
How will you use Scala?
Choose the type of decision below. Scala calibrates workload and network simulations in the same way for every use case. The results focus on the cost, performance, or design choices relevant to that decision.
None of these describe you? Read how Scala works.
Discuss your workload or network decision.
A twenty-minute call covers the question you need to answer, the inputs Scala would need, and the work required to produce a result.