Enterprises & cloud tenants

See how it runs before you pay for it.

Test on a small cluster. We show you how it behaves at full scale.

Evaluate workloads before deployment and in production.

Use the same calibrated workload to plan capacity, compare providers, and test changes to an environment you already run.

Run the workload at the target node count and see where time is spent before reserving or buying the capacity.

Simulate the same calibrated workload against each provider’s network and compare the results against the same performance and cost targets.

Change parallelism, placement, or collective settings and measure the effect at scale before the change reaches production.

Use Scala’s API to compare each change with its baseline and stop regressions before deployment.

Simulate changes to a model, parallelism strategy, placement policy, or network configuration at the production scale.

Compare each result with the run it came from and identify what changed before using the production cluster.

Run simulations through Scala’s API as part of an existing development or deployment workflow.

Define the acceptable result for the workload and stop a change when it falls outside that threshold.

The initial conversation does not require a workload trace. Data transfer and retention are agreed before you provide one.

Inputs: A workload trace and the network configuration needed for the simulation.
Transfer: A transfer path approved by your security team before any data moves.
Data received: Timing and topology data, not model weights, training data, or checkpoints.
Retention: A retention and deletion schedule agreed before the analysis begins.

A twenty-minute call covers the question, the simulation inputs, and the review process. You do not need to provide a trace for the initial call.