However, should you wish to run more performance-demanding applications through Docker containers or virtual machines, a processor with extra clock speed and support for hyper-threading can be very beneficial. CPU usage will be minimal, so even something as low end as a Celeron or Atom processor would be fine to use. In general, if it’s supported by Linux, it’s supported by unRAID. 6.1.2 Removing a Device from a Cache Pool.5.2.2.2.5 Reset Array to an Unconfigured State.5.2.2.2.4 Remove One or More Data Disks.5.2.2.2.2 Replace a Single Disk with a Bigger One.5.2.2.1 Starting and Stopping the Array.4.8.8 Extra: HELP! Stuck at SeaBIOS with "Booting from Hard Disk".4.8.7 Step 6: Remove the secondary vdisk from your VM (Windows Guests Only).4.8.6 Step 5: Install the VirtIO drivers from inside the VM (Windows Guests Only).4.8.5 Step 4: Edit the XML for your virtual machine (Windows Guests Only).4.8.4 Step 3: Connect to your unRAID server via Telnet or SSH.4.8.3 Step 2: Add a new Virtual Machine from the VMs tab.4.8.2 Step 1: Identify the disk to be converted using the unRAID webGui.4.8 Physical to Virtual Machine Conversion Process.4.7.2 Enable MSI for Interrupts to Fix HDMI Audio Support.4.6.1.7 Step 7: Remove the temporary vdisk and start the VM.4.6.1.6 Step 6: Starting your new VM and loading the VirtIO drivers.4.6.1.5 Step 5: Create a new VM with the VM Manager.4.6.1.4 Step 4: Reboot your server into KVM mode.4.6.1.3 Step 3: Download the uninstaller and remove the GPLPV drivers.4.6.1.2 Step 2: Prepare Windows 7 for GPLPV driver removal.4.6.1.1 Step 1: Determine if your VM is using Xen's GPLPV drivers.4.5.4 Loading the VirtIO Drivers During Installation.4.5.2 Obtaining Virtual Hardware Drivers (VirtIO) for Windows.4.5.1 Obtaining Your Installation Media (ISO).4.4.2.1 Edit XML for VM to supply GPU ROM manually.4.4.2 Help! I can start my VM with a GPU assigned by all I get is a black screen on my monitor!.4.4.1 Warning: Passing through a GPU to a SeaBIOS-based VM will disable console VGA access.4.4 Assigning Graphics Devices to Virtual Machines (GPU Pass Through).4.2.3 Create User Shares for Virtualization.3.5 Accessing a Volume Mapping Inside a Container.1.4.1 Determining HVM/IOMMU Hardware Support.
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