To present the power consumption of a proposed datacenter solution to a customer, you can use the following tools:
Product Bulletin: This is a web-based tool that provides technical specifications, features, benefits, and compatibility information for HPE products. You can use it to compare different products and configurations, and to generate customized reports that include power and cooling data for the selected products. You can also access the Product Bulletin from the HPE Sizer tool1.
Power Advisor: This is a web-based tool that helps you estimate the power consumption and cooling requirements of HPE servers, storage, and networking devices. You can use it to create a configuration based on the customer's requirements, and to generate a power summary report that shows the power input, output, heat dissipation, and airflow data for the configuration. You can also export the configuration to the HPE Sizer tool2.
The other options are not suitable for presenting the power consumption of a proposed solution. OCA is an online tool that helps you assess the customer's current environment and identify opportunities for optimization and transformation. NinjaSTARS is a web-based tool that helps you compare the performance and cost of HPE storage solutions with competitors' products. SSET is a web-based tool that helps you design and validate HPE solutions based on customer requirements and industry workloads. References:
HPE Product Bulletin
HPE Power Advisor
HPE Sizer

A cloud solution with a pay-per-use model allows the customer to pay only for the resources they consume, such as compute, storage, network, or software services1.
A cloud solution with a pay-per-use model also enables the customer to scale up or down their resources on-demand, depending on their workload and performance needs1.
A cloud solution with a pay-per-use model can help the customer reduce their operational expenditures (OPEX) by eliminating the need for upfront capital investments, maintenance costs, and overprovisioning of resources1.
A hybrid solution, which combines cloud and on-premises resources, may not always reduce the total cost of ownership, as it depends on the workload characteristics, the cloud pricing model, and the integration and management complexity2.
A hybrid solution may also have a more complicated expenditure model, as it involves both OPEX and CAPEX, and requires careful planning and optimization of the resource allocation and utilization2.
A traditional solution, which relies on on-premises hardware and software, requires a high capital expenditure (CAPEX) to deploy, as well as ongoing maintenance, upgrade, and support costs3.
A traditional solution also limits the customer's flexibility and agility, as they have to deal with fixed and finite resources, and longer provisioning and deployment cycles3.
The references are:
1: Cloud Computing Pricing Models 2: Hybrid Cloud Cost Optimization 3: Cloud vs On-Premise Software Comparison