Spillbox HPC Usage Metering Component

Spillbox HPC Usage Metering Component is an EC2 Image Builder component designed for high-performance computing (HPC) environments deployed within a customers AWS account. It is intended for cloud-bursting and hybrid HPC architectures commonly used in semiconductor design, engineering simulation, and large-scale compute workloads.The component installs the Spillbox software during AMI build time and prepares the instance with the required services and dependencies for HPC environments. It is designed to be used as part of a customer-managed AMI build workflow and can be combined with a customers own base AMI and Spillbox software stack using EC2 Image Builder. Compute and worker nodes remain lightweight and optimized purely for workload execution.Spillbox environments are frequently deployed in hybrid cloud scenarios, where on-premises resources are extended into AWS through elastic cloud bursting. In these deployments, workloads may scale up rapidly, run for short durations, and scale back down when jobs complete. The controller-based architecture ensures consistent cluster coordination without requiring agents on dynamically created compute nodes, making it well suited for elastic and short-lived HPC workloads.Spillbox solutions also optimize data movement between on-premises and cloud environments by transferring only the data required for active jobs, leveraging high-performance networking and local storage to minimize latency and cost. While data may move dynamically across environments, the installed controller software focuses on cluster coordination and compute workload management within AWS.Pricing for this product is based on standard AMI hourly pricing configured in AWS Marketplace and is fully calculated and billed by AWS Marketplace. No custom usage metering, pricing logic, or billing calculations are implemented by this component. This design ensures a scalable, cost-efficient, and operationally simple solution for advanced hybrid cloud HPC architectures without impacting application workflows or performance.