A.Aruba ESP is one-size-fits-all, providing a plug-and-play solution that requires no configuration.

B.Aruba ESP is automated, reducing manual input, saving time, and reducing risk.

C.Aruba ESP is specialized, giving each IT team its own optimized tool for managing the network.

D.Aruba ESP is tunable, enabling IT to choose many dierent settings for a broad array of features.

A.They can better protect their workloads by integrating security appliances with InfoSight.

B.They can create simple templates to automate the management of clusters' firmware and configuration settings.

C.They can automate the initial deployment of the cluster, as well as future cluster expansions.

D.They can better plan resources because they get advance warning for when a cluster will run out of capacity.

A.Customers can reduce overprovisioning and consolidate bare metal and virtualized workloads on one platform.

B.Customers can eliminate expensive VMware or Hyper-V licensing because SimpliVity provides its own virtualization layer.

C.Customers can spend less time managing backups and have fewer needs for outside consultants.

D.Customers can optimize costs as they scale SimpliVity clusters by adding extension storage arrays.

A.The customer can use a vCenter plug-in to easily migrate data between the Nimble dHCI solution and an HPE cloud.

B.The Nimble dHCI solution provides simpler management for VMware VMs by hosting VMs directly on Nimble appliances.

C.The Nimble dHCI solution uses VMware vSAN technology and local storage drives attached ProLiant servers to create a low-cost SAN.

D.The customer can use a vCenter plug-in to manage native backups, replication, and snapshots on the Nimble dHCI solution.

A.It provides high-speed Ethernet connectivity between cluster nodes to ensure low latency communications.

B.It performs deduplication and compression so that the node can dedicate compute to supporting VMs.

C.It uses InfiniBand to ensure high-speed, high-throughput communications between cluster nodes.

D.It provides GPU acceleration for graphical applications, modeling applications, and deep learning.