Run the calculation. Keep the context.

Compute. Run analytical and computational jobs with defined inputs, resources, and outputs. Trace each result to the code, environment, and logs behind it.

Scope a compute workload

Illustrative workflow with synthetic data.

Compute: job to inspectable result. Pascal product walkthrough. — Product walkthrough
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Compute. From a defined job to a durable result.

Define a reproducible job

Package the code, dependencies, configuration, and expected outputs needed to repeat a computational task.

Bring governed inputs

Bind the datasets, documents, and model artifacts the job needs. Keep the input selection connected to its origin and access scope.

Choose the required resources

Declare the environment and capacity needed for the workload, then use an approved execution path that can satisfy them.

Check the run before it starts

Validate the job configuration and available capacity. Inspect applicable limits and cost information before execution.

Follow progress and failure

Inspect the run’s state, logs, and intermediate work. Distinguish queued, running, failed, and completed jobs.

Keep useful results durable

Collect outputs with the run that produced them. Reuse those artifacts in model development, analysis, or the next operational step.

Explore Pascal

Follow the answer back to the job.

The recovery Task links to its optimizer job. Inspect the runtime, resources, and logs behind the result.

The recovery Task retains the optimizer result. Follow its link to the completed job rather than reconstructing the computation elsewhere.

Open the job from the work. Native product view with illustrative data.

In practice

A carrier recovery needs a capacity calculation. The team opens the optimizer job from its Task, inspects the execution details, and reads the retained logs. The calculation supports the recovery decision, and the operator remains responsible for approving any carrier change.

Example operation.Explore the solution

Compute in your operation.

Connect it to the rest of your work.

Use datasets and files as inputs, coordinate jobs with Workflows, and carry outputs into analysis, model development, or Atlas scenarios. Keep the job connected to the decision it supports.

What you work with

Compute

Job definitions, environment versions, and workload profiles
Input files, resource limits, network rules, and checkpoints
Logs, usage, cost information, and saved outputs

Stay in control as the work moves.

A job needs an available environment, capacity, and permission to run. Completion confirms the computation, while its output still needs to be assessed for the intended use. Any resulting business action requires its own authorization.

Where you work