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  2. Cluster Shared Volumes - Wikipedia

    en.wikipedia.org/wiki/Cluster_Shared_Volumes

    Cluster Shared Volumes (CSV) is a feature of Failover Clustering first introduced in Windows Server 2008 R2 for use with the Hyper-V role. A Cluster Shared Volume is a shared disk containing an NTFS or ReFS (ReFS: Windows Server 2012 R2 or newer) volume that is made accessible for read and write operations by all nodes within a Windows Server Failover Cluster.

  3. Batch file - Wikipedia

    en.wikipedia.org/wiki/Batch_file

    A batch file may contain any command the interpreter accepts interactively and use constructs that enable conditional branching and looping within the batch file, such as IF, FOR, and GOTO labels. The term "batch" is from batch processing, meaning "non-interactive execution", though a batch file might not process a batch of multiple data.

  4. Single-root input/output virtualization - Wikipedia

    en.wikipedia.org/wiki/Single-root_input/output...

    A single physical PCI Express bus can be shared in a virtual environment using the SR-IOV specification. [1] [2] The SR-IOV offers different virtual functions to different virtual components (e.g. network adapter) on a physical server machine.

  5. AUTOEXEC.BAT - Wikipedia

    en.wikipedia.org/wiki/AUTOEXEC.BAT

    AUTOEXEC.BAT is a system file that was originally on DOS-type operating systems.It is a plain-text batch file in the root directory of the boot device.The name of the file is an abbreviation of "automatic execution", which describes its function in automatically executing commands on system startup; the filename was coined in response to the 8.3 filename limitations of the FAT file system family.

  6. Hyperparameter (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_(machine...

    In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters can be classified as either model hyperparameters (such as the topology and size of a neural network) or algorithm hyperparameters (such as the learning rate and the batch size of an optimizer).