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InfiniBand, NVMe over InfiniBand or NVMe/IB [57] The standard for NVMe over Fabrics was published by NVM Express, Inc. in 2016. [58] [59] The following software implements the NVMe-oF protocol: Linux NVMe-oF initiator and target. [60] RoCE transport was supported initially, and with Linux kernel 5.x, native support for TCP was added. [61]
ONTAP originally only supported NFS, but later added support for SMB, iSCSI, and Fibre Channel Protocol (including Fibre Channel over Ethernet and FC-NVMe). On June 16, 2006, [3] NetApp released two variants of Data ONTAP, namely Data ONTAP 7G and, with nearly a complete rewrite, [2] Data ONTAP GX. Data ONTAP GX was based on grid technology ...
NetApp FAS3240-R5. Modern NetApp FAS, AFF or ASA system consist of customized computers with Intel processors using PCI.Each FAS, AFF or ASA system has non-volatile random access memory, called NVRAM, in the form of a proprietary PCI NVRAM adapter or NVDIMM-based memory, to log all writes for performance and to play the data log forward in the event of an unplanned shutdown.
Disaggregated storage is a form of scale-out storage, built with some number of storage devices that function as a logical pool of storage that can be allocated to any server on the network over a very high performance network fabric. Disaggregated storage solves the limitations of storage area networks or direct-attached storage.
For example RDMA over Converged Ethernet (RoCE) now is able to run over either lossy or lossless infrastructure. In addition iWARP enables an Ethernet RDMA implementation at the physical layer using TCP / IP as the transport, combining the performance and latency advantages of RDMA with a low-cost, standards-based solution. [ 2 ]
Non-volatile memory (NVM) or non-volatile storage is a type of computer memory that can retain stored information even after power is removed. In contrast, volatile memory needs constant power in order to retain data.
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Computation offloading is the transfer of resource intensive computational tasks to a separate processor, such as a hardware accelerator, or an external platform, such as a cluster, grid, or a cloud. Offloading to a coprocessor can be used to accelerate applications including: image rendering and mathematical calculations.