lightning-cost-estimation

To estimate cloud GPU costs for multi-node training, you can calculate total expenses based on instance count, duration, and storage requirements. This skill fetches live hourly rates across multiple providers to project accurate budgets for complex training workloads.

Yes, you can compare real-time cloud infrastructure costs across AWS, GCP, and Lightning Cloud. The skill fetches up-to-the-minute hourly rates for GPU and CPU instances to help you identify the most cost-effective provider for your workloads.

Calculate the monthly budget for persistent model serving by specifying the deployment duration, instance count, and storage needs. The skill computes total costs for serving deployments using live pricing data from various cloud providers.

Yes, you need the jq CLI tool installed to parse price lookup utilities. The skill requires standard CLI-based tools and live access to the Lightning AI accelerator catalog to fetch and calculate real-time cloud compute costs.

Yes, cloud cost estimation supports storage-inclusive billing for GPU workloads. You can include storage requirements, such as 100GB alongside 8 H100 GPUs for 48 hours, to calculate comprehensive total infrastructure costs.