Incremental cash flow is the difference between the cash flow of a project with the investment and the cash flow of the same project without the investment. It represents the net change in cash flow that results from making the investment. The correct method to calculate incremental cash flow is to substract projected increase in revenue or decrease in costs from the initial investment.
This method captures the additional cash inflows and outflows that are attributable to the investment, and excludes any cash flows that are unrelated to the investment. Incremental cash flow can help you evaluate the profitability and feasibility of an IT investment by comparing it to the required rate of return or the payback period.

HPE GreenLake for Block Storage can handle traditional use cases that require high-performance, reliable, and scalable block storage for mission-critical applications. According to the HPE GreenLake for Block Storage planning overview1, some of the use cases that can be supported by HPE GreenLake for Block Storage are:
Collocated VMFS datastore mounted from an Alletra 9080 and protected by Zerto: This use case involves running virtual machines (VMs) on a VMware vSphere cluster that uses a VMFS datastore hosted on an HPE Alletra 9080 system. The VMFS datastore provides fast and consistent access to the VMs' data, while the HPE Alletra 9080 system delivers extreme performance, availability, and efficiency for the block storage. The VMs' data is also protected by Zerto, a software solution that provides continuous data protection, disaster recovery, and backup for virtualized environments. Zerto replicates the data from the HPE Alletra 9080 system to another site or cloud, ensuring business continuity and data integrity in case of any failure or outage.
On-premises mission critical Oracle database backed by an Alletra 6050: This use case involves running an Oracle database on a physical server that uses an HPE Alletra 6050 system as the block storage. The Oracle database supports mission-critical workloads that require high performance, availability, and security. The HPE Alletra 6050 system provides enterprise-grade block storage that delivers consistent low latency, high throughput, and high IOPS for the database. The HPE Alletra 6050 system also supports data services such as snapshots, clones, encryption, and replication for the database, enhancing its functionality and protection.
The other options are not traditional use cases that can be handled by HPE GreenLake for Block Storage. A containerized AI workload utilizing Microsoft Azure and an Apollo 4000 is a hybrid cloud use case that involves running AI applications on containers that use an HPE Apollo 4000 system as the storage. The HPE Apollo 4000 system is a big data and analytics platform that provides high-density, scalable, and cost-effective storage for large data sets. The containers are deployed on Microsoft Azure, a public cloud service that provides compute, storage, and networking resources for cloud applications. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A highly secure, air-gapped NFS share from an MSA 2062 is a file storage use case that involves creating an NFS share on an HPE MSA 2062 system that is isolated from the internet and other networks. The HPE MSA 2062 system is an entry-level storage system that provides affordable and flexible storage for small and medium businesses. The NFS share provides file access to the data stored on the HPE MSA 2062 system, while the air-gap provides security and protectionfrom external threats. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve block storage or HPE Alletra systems. A mainframe volumes provided by HPE XP8 storage is a mainframe storage use case that involves providing block storage for mainframe systems using an HPE XP8 system. The HPE XP8 system is a high-end storage system that provides extreme performance, availability, and scalability for mainframe and open systems. The HPE XP8 system supports mainframe volumes such as FICON, CKD, and ECKD, as well as open system volumes such as FC, iSCSI, and NVMe. This use case is not supported by HPE GreenLake for Block Storage, as it does not involve HPE Alletra systems. References:
HPE GreenLake for Block Storage
HPE GreenLake for Block Storage planning overview
HPE Alletra 9000 and 6000 systems
Zerto
HPE Apollo 4000 systems
[HPE MSA 2062 storage]
[HPE XP8 storage]

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 services.
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 needs.
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 resources.
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 complexity.
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 utilization.
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 costs.
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 cycles.