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Choosing the right computational resources for your simulation is crucial for optimal performance and cost efficiency. This section provides comprehensive guidance on matching your simulation requirements with the most suitable machine configurations.
Learn how to select and optimize computational resources for your specific simulation needs, from initial machine selection to post-simulation analysis.
| Pick the Right Cloud Machine → | Benchmarks vs. System Metrics → |
|---|---|
| Navigate hundreds of available machine types to find the perfect balance of performance, cost, and specifications for your workload | Understand when to use benchmarks for upfront planning versus system metrics for post-simulation optimization |
✓ Avoid over-provisioning Choose machines with the right amount of CPU, memory, and storage to avoid paying for unused resources while ensuring your simulations run smoothly.
✓ Maximize performance Match your simulation's computational patterns with machine architectures that excel at those specific workloads, whether compute-intensive, memory-intensive, or GPU-accelerated.
✓ Optimize costs Use data-driven insights to select cost-effective machine configurations, leverage spot pricing when appropriate, and avoid trial-and-error expenses.
✓ Scale intelligently Understand how different machine specifications affect simulation performance to make informed decisions when scaling up your computational demands.
✓ Learn from experience Use post-simulation metrics to continuously improve your machine selection and resource allocation for future runs.