HPE0-V27 HPE Edge-to-Cloud Solutions Questions and Answers

HPE Solutions for Scality Artesca is a lightweight, cloud-native object storage platform that supports S3 bucket storage for modern applications. It is designed to run on Kubernetes and bare metal servers, and can be deployed on a single node or scaled out to petabytes. It offers high performance, durability, and federated data management across edge, core, and cloud environments. It also has a low total cost of ownership and a flexible consumption model with HPE GreenLake. Compared to the other options, HPE Solutions for Scality Artesca has the smallest physical footprint and the most portability and scalability for S3 bucket storage requirements. References:

• HPE Object Based Storage for Scality Solutions
• HPE and Scality ARTESCA deliver best edge-to-cloud-to-core data management experience for AI/ML
• HPE Solutions with Scality
• Scality and Hewlett Packard Enterprise unveil ARTESCA: lightweight, true enterprise-grade, cloud-native object storage software for Kubernetes
• Scality and HPE Launch Object Storage Software for Kubernetes

 The solution that addresses all three of the customer’s concerns is D. Rebuild your solution using the HPE GreenLake Quick Quote tool. With HPE GreenLake, the solution can be delivered in as little as 14 days, GreenLake solution deployed by HPE, and the solution is billed monthly. This is because HPE GreenLake is a cloud service that delivers on-premises or edge solutions with a pay-per-use pricing model, flexible capacity, and fully managed services. HPE GreenLake offers the following benefits for the customer:

• It reduces the lead time for the solution delivery, as HPE GreenLake can provide ready-to-ship solutions in 14 days or less, depending on the availability and complexity of the solution12.
• It lowers the IT resources required to deploy and manage the solution, as HPE GreenLake provides end-to-end services, including installation, configuration, monitoring, backup, patching, and tuning of the solution, freeing up the customer’s IT staff to focus on value-added activities13.
• It alleviates the initial cost outlay, as HPE GreenLake charges the customer only for the actual usage of the solution, avoiding upfront capital expenses and overprovisioning or underutilization of resources14.

The other options do not address all three of the customer’s concerns because:

• A. Use the HPE TCO and ROI calculator to develop a compelling business case that highlights the value proposition as well as essential financial metrics that are important to the customers. This option may help the customer understand the long-term benefits and savings of the solution, but it does not address the customer’s immediate concerns of lead time, IT resources, and initial cost outlay. The customer may still face delays, complexity, and upfront expenses with the solution5.
• B. Use the HPE Assessment Foundry to find ways to lower the amount of storage needed. Use the results of the reports to use cheaper drives in the storage array. Also HPE Pointnext services for installation. This option may help the customer optimize the storage capacity and performance of the solution, as well as simplify the installation process, but it does not address the customer’s concerns of lead time and initial cost outlay. The customer may still face long delivery times for some components of the solution, and may have to pay a high upfront price for the solution and the services67.
• C. Rebuild the solution in OCA, and look for opportunities in the tool to replace long lead time components with similar components that have shorter lead times. Also with your sales team to revise the cost of the solution to meet customer needs. This option may help the customer reduce the lead time and the initial cost outlay of the solution, but it does not address the customer’s concern of IT resources. The customer may stillhave to allocate significant IT resources to deploy and manage the solution, and may compromise on the quality or performance of the solution by replacing some components8.

References:

• HPE GreenLake – Cloud Services for Your Entire Estate
• HPE GreenLake Quick Quote
• HPE GreenLake Management Services
• HPE GreenLake Central
• HPE TCO and ROI Calculator
• HPE Assessment Foundry
• HPE Pointnext Services
• HPE One Config Advanced (OCA)

Based on the customer’s requirements, the following strategy would meet their needs:

Server: Synergy 480 Gen10 Plus Storage: Alletra 6000 Data Protection: StoreOnce with Veeam Data Protection backup: full/synthetic full local backup rotation

Server: Synergy 480 Gen10 Plus

The Synergy 480 Gen10 Plus is a composable, scalable, and flexible server that can support VMware clusters with high performance, availability, and efficiency. It offers the following benefits for the customer:

• Composable: The Synergy 480 Gen10 Plus can be dynamically configured and reconfigured using software-defined templates and profiles, allowing the customer to optimize their resources for different workloads and applications. The customer can also leverage HPE OneView and HPE Composer to automate and orchestrate their infrastructure management, reducing the complexity and overhead.
• Scalable: The Synergy 480 Gen10 Plus can support up to two Intel Xeon Scalable processors, up to 3 TB of memory, and up to 24 SFF drives or 12 LFF drives per node. It can also be expanded with up to six mezzanine options, including Fibre Channel, Ethernet, and InfiniBand adapters. The customer can scale their VMware cluster horizontally or vertically as their needs grow, without compromising on performance or efficiency.
• Flexible: The Synergy 480 Gen10 Plus can support various operating systems, hypervisors, and applications, including VMware vSphere, VMware vSAN, and VMware Cloud Foundation. It can also integrate with HPE GreenLake, HPE’s edge-to-cloud platform, to provide the customer with a pay-per-use, as-a-service model that can lower their costs and risks.

Storage: Alletra 6000

The Alletra 6000 is a mid-range storage solution that offers flexible performance, scalability, and resiliency for business-critical workloads. It is suitable for the customer’s VMware cluster because:

• Flexible performance: The Alletra 6000 can deliver up to 900K IOPS with sub-300 microseconds latency, supporting the customer’s business and customer-facing applications with consistent and reliable performance. It can also support NVMe and SAS technologies, and offer three performance tiers: Performance, Business Critical, and Mission Critical, allowing the customer to choose the best option for their workloads and service level objectives.
• Scalability: The Alletra 6000 can support up to 16 PB of raw capacity, and up to 64 hosts per system. It can also scale out with HPE Cloud Volumes, HPE’s cloud-native storage service, to provide the customer with hybrid cloud capabilities and flexibility. The customer can scale their storage capacity and performance as their VMware cluster grows, without compromising on availability or efficiency.
• Resiliency: The Alletra 6000 offers a 100% data availability guarantee, ensuring that the customer’s data is always accessible and protected. It also supports various data protection features, such as snapshots, replication, encryption, and erasure coding, to enhance the customer’s data security and recovery. The customer can also leverage HPE InfoSight, HPE’s AI-driven predictive analytics platform, to monitor and optimize their storage performance, health, and utilization, and to prevent issues before they impact their operations.

Data Protection: StoreOnce with Veeam

The StoreOnce with Veeam is a data protection solution that combines HPE’s deduplication appliance and Veeam’s backup and recovery software to provide the customer with fast, efficient, and reliable backup and recovery for their VMware cluster. It offers the following benefits for the customer:

• Fast backup and recovery: The StoreOnce with Veeam can reduce the backup window and the recovery time objective (RTO) for the customer’s VMware cluster, by leveraging source-side deduplication, synthetic full backups, and instant VM recovery. The customer can back up and restore their data in minutes, minimizing the impact of downtime or data loss on their business and customers.
• Efficient storage utilization: The StoreOnce with Veeam can reduce the storage footprint and the bandwidth consumption for the customer’s backup data, by leveraging target-side deduplication, compression, and encryption. The customer can store up to 20 times more backup data on the same amount of storage, and reduce the network traffic by up to 95%, lowering their costs and risks.
• Reliable data protection: The StoreOnce with Veeam can provide the customer with multiple levels of data protection, by supporting local, remote, and cloud backup and recovery options. The customer can also leverage HPE Cloud Bank Storage, HPE’s cloud storage service, to store their backup data in the cloud, enhancing their data durability and availability. The customer can also leverage Veeam’s features, such as backup verification, ransomware protection, and data governance, to ensure their data integrity and compliance.

Data Protection backup: full/synthetic full local backup rotation

The full/synthetic full local backup rotation is a backup strategy that involves creating a full backup of the customer’s VMware cluster once, and then creating synthetic full backups periodically by combining the previous full backup with the incremental backups. This strategy offers the following benefits for the customer:

• Reduced backup window: The full/synthetic full local backup rotation can reduce the time and resources required to create full backups, by eliminating the need to read the entire data set from the source every time. The customer can create synthetic full backups faster and more efficiently, without impacting their production environment or performance.
• Improved recovery point objective (RPO): The full/synthetic full local backup rotation can improve the frequency and granularity of the customer’s backups, by creating incremental backups daily or more often. The customer can capture the changes in their data more frequently, reducing the amount of data loss in case of a disaster or failure.
• Simplified backup management: The full/synthetic full local backup rotation can simplify the customer’s backup management, by reducing the number of backup files and chains that need to be maintained and monitored. The customer can also leverage Veeam’s features, such as backup copy jobs, backup retentionpolicies, and backup reports, to automate and optimize their backup processes and operations.

HPE Cloud Volumes Backup is a cloud-native backup storage target that enables customers to seamlessly back up data from their on-premises arrays to the cloud, without changing their existing data protection workflows. HPE Cloud Volumes Backup supports various backup applications, including Veeam, and integrates with them through a secure client that runs on the customer’s premises. HPE Cloud Volumes Backup can help customers meet the 3-2-1 data protection architecture, which recommends having at least three copies of data, on two different media, with one copy off-site. By using HPE Cloud Volumes Backup, customers can have an off-site copy of their data in the cloud, which can be easily restored to their on-premises storage or to HPE Cloud Volumes Block, a cloud-native block storage service. HPE Cloud Volumes Backup offers flexible and predictable pay-per-use pricing, as well as security, scalability, and simplicity features. References: https://www.hpe.com/us/en/what-is/cloud-server-backups.html

https://buy.hpe.com/us/en/enterprise-solutions/cloud-solutions/storage-cloud-saas-solutions/storage-cloud-saas-solutions/hpe-cloud-volumes-backup/p/1013033925\

When generating a customer HPE GreenLake proposal, you need to submit the following mandatory items to HPE for quoting:

• Start Bill of Materials: This is a document that lists the initial hardware and software components, quantities, and prices that are required for the HPE GreenLake solution. It also includes the service level, the billing unit, the minimum and maximum capacity, and the buffer size. The Start Bill of Materials helps HPE to calculate the monthly fee and the buffer charge for the customer.
• Completed Order Checklist: This is a document that contains the essential information and documents that are needed to process the HPE GreenLake order. It includes the customer name, address, contact details, legal entity, billing frequency, payment method, contract term, start date, end date, and signature. It also includes the attachments such as the Start Bill of Materials, the End Bill of Materials, the Statement of Work, the Credit Check Form, and the Customer Acceptance Form.

The other items are not mandatory for the initial proposal, but they may be required later in the order process:

• End Bill of Materials: This is a document that lists the final hardware and software components, quantities, and prices that are delivered and installed for the HPE GreenLake solution. It may differ from the Start Bill of Materials due to changes in the customer requirements, availability, or pricing. The End Bill of Materials helps HPE to reconcile the actual usage and billing with the customer.
• Signed Statement of Work: This is a document that defines the scope, deliverables, responsibilities, and terms and conditions of the HPE GreenLake service. It also includes the service level agreement, the service description, the service activation, the service management, the service reporting, and the service termination. The Statement of Work must be signed by both HPE and the customer before the service can start.
• Credit Check Form: This is a document that authorizes HPE to perform a credit check on the customer to assess their financial stability and creditworthiness. The credit check helps HPE to determine the payment terms and conditions for the HPE GreenLake service.

References: HPE GreenLake Central User Guide, HPE GreenLake for Block Storage MP, HPE GreenLake Edge-to-Cloud Platform User Guide

 HPE CloudPhysics is a SaaS-based platform that provides data-driven insights and recommendations for optimizing the performance, availability, and cost of virtualized environments. HPE CloudPhysics collects and analyzes data from various sources, such as hypervisors, VMs, storage, and network devices, and applies machine learning and analytics to identify and resolve issues, such as resource contention, misconfigurations, bottlenecks, and inefficiencies. HPE CloudPhysics can help you monitor and troubleshoot HPE Hyper-V environments, as well as compare and plan migrations to HPE GreenLake or other cloud platforms12. References: HPE CloudPhysics | HPE Store US, HPE CloudPhysics - Data Sheet

HPE GreenLake is a pay-per-use IT model that delivers on-demand capacity and planning, combining the agility and economics of public cloud with the security and performance of on-premises IT. It helps customers improve their liquidity by avoiding large upfront capital expenditures and paying only for what they use. This frees up cash flow and enables them to invest in other strategic initiatives. According to an IDC study, customers using HPE GreenLake Management Services reported a 27% lower three-year cost of operations and a 287% five-year return on investment1. References:

• HPE GreenLake cloud platform
• The Business Value of HPE GreenLake Management Services
• HPE Expands Pay-Per-Use IT to Key Business Workloads
• Three Financial Benefits of Using HPE Greenlake

 A managed private cloud solution is one where the customer has a dedicated cloud environment that is managed by a third-party provider. The customer can benefit from the scalability, flexibility, and security of the cloud, without having to deal with the infrastructure management and maintenance. However, the customer may also have specific requirements for ownership and tax purposes, such as retaining the title of the assets or depreciating them over time. In this case, a traditional purchase or a custom HPE GreenLake solution may not be suitable, as they would either require the customer to pay upfront for the infrastructure or transfer the ownership to HPE. HPE GreenLake for VDI is also not a good option, as it is a specific solution for virtual desktops, not a general-purpose cloud platform.

The best option for the customer is to use HPE Financial Services lease with GreenLake management services. This option allows the customer to lease the infrastructure from HPE Financial Services, while HPE GreenLake provides the management and pay-per-use billing for the cloud services. The customer can retain the ownership of the assets at the end of the lease term, or renew the lease with updated technology. The customer can also take advantage of the tax benefits of leasing, such as deducting the lease payments as operating expenses or claiming depreciation allowances. This option provides the customer with a managed private cloud solution that meets their ownership and tax needs, while also offering the advantages of HPE GreenLake, such as cost savings, agility, and innovation. References: HPE GreenLake Cloud Services, HPE Financial Services, HPE GreenLake for Private Cloud Enterprise

The customer would receive the benefit of offloading monitoring and modifying databases with HPE GreenLake management services by choosing HPE GreenLake for database. This is because HPE GreenLake for database is a cloud service that delivers optimized infrastructure and management services for business-critical databases such as SQL Server, Oracle, and EDB Postgres. HPE GreenLake for database offers the following benefits for the customer:

• It provides a pay-per-use pricing model that aligns costs with usage and avoids overprovisioning or underutilization of resources12.
• It enables a self-service portal that allows the customer to provision, scale, and manage databases on demand, with point-and-click simplicity13.
• It leverages HPE InfoSight, an AI-powered platform that provides predictive analytics, proactive recommendations, and automated actions to prevent issues, optimize performance, and reduce costs for database environments14.
• It includes HPE GreenLake management services, which provide 24x7 monitoring, backup, patching, and tuning of databases, freeing up the customer’s IT staff to focus on value-added activities15.

The other options are not benefits of HPE GreenLake for database because:

• A. Cost savings with a community cloud operating model that supports sharing resources with other tenants. HPE GreenLake for database does not use a community cloud operating model, which is a cloud service that is shared among multiple organizations with common interests or goals. HPE GreenLake for database uses a private cloud operating model, which is a cloud service that is dedicated to a single organization and hosted on-premises or in a colocation facility67.
• B. Time savings with a fully managed VDI solution hosted in their choice of AWS or Azure. HPE GreenLake for database does not provide a VDI solution, which is a virtual desktop infrastructure that delivers desktops and applications to end users from a centralized server. HPE GreenLake for database provides a database solution, which is a data management system that stores, organizes, and manipulates data for variousapplications. HPE GreenLake for database also does not host the solution in AWS or Azure, which are public cloud providers. HPE GreenLake for database hosts the solution on-premises or in a colocation facility89.
• C. Order prioritization with delivery and provisioning of new capacity in 7 days or fewer. HPE GreenLake for database does not guarantee delivery and provisioning of new capacity in 7 days or fewer. HPE GreenLake for database provides a buffer capacity that is reserved for the customer and can be activated instantly when needed. However, if the customer requires additional capacity beyond the buffer, the delivery and provisioning time may vary depending on the availability and complexity of the solution .

References:

• HPE GreenLake for Database | HPE Store US
• HPE GreenLake for Database - PSNow
• HPE GreenLake for Database | HPE Saudi Arabia
• HPE InfoSight – AI-Driven Intelligence for Infrastructure
• Unlock the value of your databases - Nutanix
• What is a community cloud? | IBM
• What is a private cloud? | IBM
• What is VDI (Virtual Desktop Infrastructure)? | VMware
• What is a database? | Oracle
• [HPE GreenLake for Database - PSNow]
• [HPE GreenLake for Database | HPE Store US]

• Customers looking to unlock agility and collapse data management silos. = Alletra
• Customers looking to run apps and collapse infrastructure management silos. = SimpliVity
• Customers looking to run apps and build a resilient enterprise. = Zerto

• Alletra: Alletra is a data services platform that offers cloud-native data management and storage solutions for various workloads and applications. It can help customers unlock agility and collapse data management silos, by enabling them to provision, monitor, and optimize their data services from a single cloud console, and to integrate with various cloud providers and services12.
• SimpliVity: SimpliVity is a hyperconverged infrastructure solution that combines compute, storage, networking, and data protection in a single appliance. It can help customers run apps and collapse infrastructure management silos, by simplifying and streamlining their IT operations, reducing costs and complexity, and improving efficiency and performance34.
• Zerto: Zerto is a data protection and disaster recovery solution that offers continuous data replication, backup, and recovery for various workloads and applications. It can help customers run apps and build a resilient enterprise, by enhancing their data availability, security, and compliance, and by enabling them to recover from any disruption or failure in minutes5 .

• SAF Collector: This tool, judging by its name, seems to be used for collecting data. Therefore, it likely falls under the category ofData Collection.
• SAF Analyse: Given its name, this tool is probably used for analyzing the data collected. This would place it in the category ofData analysis and solution sizing.
• NinjaSTARS: This tool's exact function isn't clear from its name alone. However, tools with "STAR" in their name are often related to analysis or monitoring in IT contexts. Thus, it might fit into theData analysis and solution sizingcategory.
• NinjaCrawler: The term "Crawler" typically refers to a tool that navigates and collects data from different sources, particularly in web and network contexts. Therefore, this tool is likely best suited for theData Collectioncategory.
• DD Analyse: The "Analyse" part of this tool's name suggests that it is used for analyzing data, which would place it in theData analysis and solution sizingcategory.

https://www.hpe.com/us/en/hpe-edge-to-cloud-adoption-framework.html

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

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. References: HPE Edge-to-Cloud Solutions - Self-Directed Lab, HPE Edge-to-Cloud Solutions - Official Certification Study Guide, Incremental Cash Flow Definition, How to Calculate Incremental Cash Flow

• HPE Solutions for Scalitv RING is a software-defined storage solution that provides cloud storage on-premises with data capacity from terabytes to exabytes in a single name space1.
• HPE Solutions for Scalitv RING supports multiple single- and geo-dispersed data configurations, including erasure coding across sites, which enables high availability and durability of data across different locations1.
• HPE Solutions for Scalitv RING offers a native S3 API and file protocols, such as NFS and SMB, that provide connection to most business applications and cloud-native workloads1.
• HPE Solutions for Scalitv RING also provides built-in ransomware protection, federated data management, and flexible deployment options, such as HPE GreenLake edge-to-cloud platform1.
• HPE Solutions for Scalitv ARTESCA is a lightweight solution optimized for S3 access from cloud-native applications, but it does not support geo-dispersed data configurations or file protocols2.
• HPE Solutions for Qumulo is a file data platform that provides real-time visibility, scale, and control of data across on-premises and cloud environments, but it does not support object storage or erasure coding across sites3.
• HPE Solutions for Cohesity is a data management platform that simplifies backup, recovery, and data protection across hybrid cloud environments, but it does not support petabyte-scale or geo-dispersed object storage4.

The references are:

1: HPE Solutions with Scality 2: HPE Solutions for Scality ARTESCA 3: HPE Solutions for Qumulo 4: HPE Solutions for Cohesity

According to the HPE Edge-to-Cloud Adoption Framework, page 5, a traditional solution is a cloud deployment model where the cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or somecombination of them, and it may exist on or off premises. A traditional solution offers the organization more control, security, and customization over their cloud resources, but it also requires more investment, maintenance, and expertise.

A hybrid solution is a cloud deployment model where the cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds). A hybrid solution offers the consumers more choice, agility, and innovation over their cloud resources, but it also requires more integration, management, and complexity.

Based on these definitions, the following use cases are hybrid solutions:

• An on-premises database, emerging applications, storage as a service with VMs, or container environments and cloud back up. = Hybrid solution. This use case involves a combination of on-premises and cloud resources, and requires data and application portability between them.
• A small private cloud for productivity and collaboration with public cloud disaster recovery or testing and development. = Hybrid solution. This use case involves a combination of private and public cloud resources, and requires data and application portability between them.

The following use cases are traditional solutions:

• A small deployment in an office consolidating a small number of applications but limited SLA requirements. = Traditional solution. This use case involves a single organization using a cloud infrastructure for exclusive use, and does not require data and application portability to other clouds.
• Large Object-Store performance database and online transaction processing (OLTP) without external connectivity. = Traditional solution. This use case involves a single organization using a cloud infrastructure for exclusive use, and does not require data and application portability to other clouds

HPE Alletra 9000 is a cloud-native data infrastructure that delivers a cloud experience for mission-critical workloads. It is designed to provide extreme low-latency, reliability, and performance density in a 4U enclosure. Some of the business values of HPE Alletra 9000 are:

• 100% uptime guarantee: HPE Alletra 9000 ensures resiliency with a guaranteed 99.9999% data availability, backed by the HPE Alletra Availability Guarantee program1. It also offers built-in data protection, replication, and disaster recovery capabilities to safeguard data from any eventuality2.
• Enterprise scalability and performance: HPE Alletra 9000 delivers consistent sub-millisecond latency and up to 15M IOPS for the most demanding applications1. It also supports massive scalability, with up to 96 NVMe drives and 6PB of raw capacity per system, and up to 4 systems in a single namespace2. HPE Alletra 9000 can also easily extend to the cloud with consistent data services and native integration with cloud platforms3.

References: HPE Alletra 9000 | HPE Store Australia, Document Display | HPE Support Center, Transform Your Business with the HPE Alletra 9000 Series

 The technology that should be recommended to the customer for machine learning that requires low latencies and high transfer rates is RoCE. RoCE stands for RDMA over Converged Ethernet, which is a protocol that enables Remote Direct Memory Access (RDMA) over Ethernet networks. RDMA is a technology that allows direct memory access from one computer to another without involving the operating system or the CPU, thus reducing the overhead and latency of data transfers. RoCE offers the following benefits for machine learning environments:

• It supports high bandwidth and low latency data transfers, which are essential for machine learning applications that involve large amounts of data and complex computations12.
• It improves the efficiency and scalability of the network, as it reduces the CPU utilization and the network congestion caused by data transfers13.
• It leverages the existing Ethernet infrastructure, which is widely deployed and cost-effective, and does not require any specialized hardware or software14.
• It is compatible with HPE solutions, such as HPE Alletra, HPE Synergy, and HPE Apollo, which support RoCE and provide optimized infrastructure and management services for machine learning workloads567.

The other options are not suitable for machine learning that requires low latencies and high transfer rates because:

• A. SCSI stands for Small Computer System Interface, which is a set of standards for connecting and transferring data between devices, such as hard disks, tape drives, scanners, and printers. SCSI is mainly used for storage devices and does not support RDMA or Ethernet networks8.
• C. SMB stands for Server Message Block, which is a network file sharing protocol that allows access to files, printers, and other resources on a network. SMB is mainly used for file sharing and does not support RDMA or Ethernet networks9.
• D. NFS stands for Network File System, which is a distributed file system protocol that allows access to files over a network. NFS is mainly used for file sharing and does not support RDMA or Ethernet networks10.

References:

• What is RoCE? | Mellanox Technologies
• RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
• RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
• RoCE: The Key to Unlocking the Full Potential of AI - RoCE Initiative
• HPE Alletra 6000 Data Sheet
• HPE Synergy 480 Gen10 Compute Module - Overview
• HPE Apollo 6500 Gen10 Plus System - Overview
• What is SCSI (Small Computer System Interface)? - Definition from WhatIs.com
• What is SMB (Server Message Block)? - Definition from WhatIs.com
• What is NFS (Network File System)? - Definition from WhatIs.com

According to the HPE GreenLake for Block Storage configuration overview, the following options are customizable for HPE GreenLake for Block Storage:

• Choice of RAID Level: Customizable. You can choose the RAID level for each virtual pool of storage based on your performance and availability requirements. The supported RAID levels are RAID 1, RAID 5, RAID 6, and RAID 101.
• Performance Tier: Customizable. You can choose the performance tier for each virtual pool of storage based on your workload characteristics and service level objectives. The available performance tiers are Performance, Business Critical, and Mission Critical1.
• Choice of Disk Size: Customizable. You can choose the disk size for each virtual pool of storage based on your capacity and density needs. The supported disk sizes are 1.92 TB, 3.84 TB, 7.68 TB, and 15.36 TB for SSDs, and 1.6 TB and 3.2 TB for SCM1.
• Availability SLA: NOT customizable. HPE GreenLake for Block Storage offers a built-in 100% data availability guarantee for mission-critical environments. This means that HPE will ensure that your data is always accessible and protected, and will compensate you for any downtime or data loss that may occur2.
• Network Interface/Connectivity: Customizable. You can choose the network interface and connectivity for each storage system based on your host and network requirements. The supported network interfaces are Fibre Channel and iSCSI, and the supported connectivity options are direct attach, switch attach, and SAN1.