grandeduc - Fotolia
Dell has added three more products to its XC range of hyperconverged storage arrays, the XC630-10 and two XC730, which are aimed at compute/performance-heavy, storage-focused and high-performance use cases.
The XC630-10 is a 1U compute/storage node aimed at virtual desktop infrastructure (VDI), test-dev, private cloud and virtual server use cases. It has 10 drive slots with a maximum of four flash and eight 1TB HDDs in combination allowed.
Meanwhile, the two XC730-designated products are the xd-12 and xd-24, which are both 2U. The xd-12 product is aimed at storage-heavy deployments, such as Microsoft Exchange and Sharepoint, with 12 drive slots for flash and up to 4TB HDDs. The xd-24 product is aimed at performance-intensive database work, with 24 drive slots for flash and 1TB HDDs.
XC products come with Nutanix hyperconverged server/storage software and provide VMware ESXi or Microsoft Hyper-V hypervisor options. Units can be added to scale out, with the Nutanix Distributed File System pooling resources across nodes.
More on hyperconverged systems
- Hyperconverged systems are increasingly popular as a way to combine compute, storage, networking and server virtualisation
- How hyperconverged systems have sidestepped the familiar cycle of startup acquisition
Hyperconverged systems combine processing and storage in one box, with scale-out capability that allows the customer to grow capacity in grid-like fashion.
Pre-configured hyperconverged products that have arisen in their wake allow easy setup and administration, with a virtual machine-friendly architecture for organisations without webscale resources.
Hyperconverged products first came from pioneers such as Nutanix, Simplivity and Scale Computing, and were aimed at fairly limited virtualisation use cases.
More recently, VMware has developed its own EVO:Rail product, which it sells in conjunction with a range of hardware suppliers, including Dell, EMC, NetApp, Hitachi Data Systems, Fujitsu and HP, and are now targeted at a wide range of datacentre workloads.