Virtualization

RSS for tag

Create hardware-accelerated virtual machines to run macOS and Linux-based operating systems.

Virtualization Documentation

Pinned Posts

Posts under Virtualization tag

59 Posts
Sort by:
Post not yet marked as solved
1 Replies
581 Views
My environment is a router with OpenWRT, a laptop connected to the router via patch cable and an untagged VLAN with VID 5 configured on that port in the router, and a MacBook M1 Pro connected via Wi-Fi to the router. On the macbook, I created a VLAN interface by specifying en0 (AirPort) as the parent interface, then created a VM using QEMU with hvf accelerator or lima/UTM with VZ and I observe a strange situation: using arping, packets from the laptop sometimes reach the VM connected to the VLAN interface on the macbook, but arping running on the VM only sends requests but does not receive replies from the laptop. If I assign an IP address to the VLAN interface in macOS, packets are transmitted over either protocol without any problems. The problem is delivering packets to the virtual machine. With tcpdump on the laptop I can see that it reply to arp requests, I can also see on the router that replies to arp requests passed through the Wi-Fi interface, but I don't see them in tcpdump on en0 on the macbook, which is also strange. But as I wrote before, if I assign an address from the same network on the macbook's VLAN interface, any packets are delivered between the laptop and macbook. Laptop: 192.168.24.50 MacBook: 192.168.24.20 (vlan5 interface). VM: 192.168.24.10 With lima-vm I use socket_vmnet in bridge mode. With QEMU I use vmnet-bridged. ➜ ~ ifconfig vlan5 vlan5: flags=8943<UP,BROADCAST,RUNNING,PROMISC,SIMPLEX,MULTICAST> mtu 1496 options=6063<RXCSUM,TXCSUM,TSO4,TSO6,PARTIAL_CSUM,ZEROINVERT_CSUM> ether f0:2f:4b:xx:xx:xx inet 192.168.24.20 netmask 0xffffff00 broadcast 192.168.24.255 vlan: 5 parent interface: en0 media: autoselect status: active ➜ ~ ping 192.168.24.50 -c2 PING 192.168.24.50 (192.168.24.50): 56 data bytes 64 bytes from 192.168.24.50: icmp_seq=0 ttl=64 time=5.241 ms 64 bytes from 192.168.24.50: icmp_seq=1 ttl=64 time=5.429 ms --- 192.168.24.50 ping statistics --- 2 packets transmitted, 2 packets received, 0.0% packet loss round-trip min/avg/max/stddev = 5.241/5.335/5.429/0.094 ms ➜ ~ sudo arping -c 5 -i vlan5 192.168.24.50 ARPING 192.168.24.50 60 bytes from 10:e7:c6:xx:xx:xx (192.168.24.50): index=0 time=6.061 msec 60 bytes from 10:e7:c6:xx:xx:xx (192.168.24.50): index=1 time=6.084 msec 60 bytes from 10:e7:c6:xx:xx:xx (192.168.24.50): index=2 time=5.945 msec 60 bytes from 10:e7:c6:xx:xx:xx (192.168.24.50): index=3 time=3.092 msec 60 bytes from 10:e7:c6:xx:xx:xx (192.168.24.50): index=4 time=3.848 msec --- 192.168.24.50 statistics --- 5 packets transmitted, 5 packets received, 0% unanswered (0 extra) rtt min/avg/max/std-dev = 3.092/5.006/6.084/1.278 ms ➜ ~ ifconfig bridge100 bridge100: flags=8863<UP,BROADCAST,SMART,RUNNING,SIMPLEX,MULTICAST> mtu 1496 options=3<RXCSUM,TXCSUM> ether f2:2f:4b:xx:xx:xx Configuration: id 0:0:0:0:0:0 priority 0 hellotime 0 fwddelay 0 maxage 0 holdcnt 0 proto stp maxaddr 100 timeout 1200 root id 0:0:0:0:0:0 priority 0 ifcost 0 port 0 ipfilter disabled flags 0x0 member: vlan5 flags=3<LEARNING,DISCOVER> ifmaxaddr 0 port 22 priority 0 path cost 0 member: vmenet0 flags=3<LEARNING,DISCOVER> ifmaxaddr 0 port 23 priority 0 path cost 0 Address cache: 10:e7:c6:xx:xx:xx Vlan1 vlan5 326 flags=0<> 52:55:55:ae:36:b4 Vlan1 vmenet0 1172 flags=0<> nd6 options=201<PERFORMNUD,DAD> media: autoselect status: active [root@VM1 ~]# arping 192.168.24.50 -c5 ARPING 192.168.24.50 from 192.168.24.10 lima0 Sent 5 probes (5 broadcast(s)) Received 0 response(s) [root@VM1 ~]# [root@laptop ~]# arping 192.168.24.10 -c5 ARPING 192.168.24.15 from 192.168.24.10 lima0 Unicast reply from 192.168.24.10 [52:55:55:AE:36:B4] 2.492ms Unicast reply from 192.168.24.10 [52:55:55:AE:36:B4] 1.791ms Unicast reply from 192.168.24.10 [52:55:55:AE:36:B4] 3.059ms Sent 5 probes (1 broadcast(s)) Received 3 response(s) [root@laptop ~]# What could be the reason for this behavior?
Posted
by amkgi.
Last updated
.
Post marked as solved
2 Replies
545 Views
The Running Linux in a Virtual Machine sample code demonstrates starting a Linux Virtual Machine. But the example only boots to the RAM disk, leaving you in an emergency shell. It does not show how to boot to a disk containing the Linux filesystem. With the sample code unaltered, I can use the Ubuntu RAM disk and kernel files from https://cloud-images.ubuntu.com/releases/23.10/release/unpacked/ to boot Linux like this: ./LinuxVirtualMachine /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-vmlinuz-generic /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-initrd-generic But this fails to fully boot Ubuntu because no root is specified in the bootloader: Begin: Mounting root file system ... Begin: Running /scripts/local-top ... done. Begin: Running /scripts/local-premount ... [ 2.013998] Btrfs loaded, zoned=yes, fsverity=yes Scanning for Btrfs filesystems done. No root device specified. Boot arguments must include a root= parameter. And so Ubuntu drops you to the emergency BusyBox shell. If I mount the root disk image from the release page at https://cloud-images.ubuntu.com/releases/23.10/release/ and specify the root in the bootloader, we get a little further, but Linux can not see the mounted disk: diff --git a/LinuxVirtualMachine/main.swift b/LinuxVirtualMachine/main.swift index bf32924..0977b9e 100644 --- a/LinuxVirtualMachine/main.swift +++ b/LinuxVirtualMachine/main.swift @@ -10,7 +10,7 @@ import Virtualization // MARK: Parse the Command Line -guard CommandLine.argc == 3 else { +guard CommandLine.argc == 4 else { printUsageAndExit() } @@ -25,6 +25,11 @@ configuration.memorySize = 2 * 1024 * 1024 * 1024 // 2 GiB configuration.serialPorts = [ createConsoleConfiguration() ] configuration.bootLoader = createBootLoader(kernelURL: kernelURL, initialRamdiskURL: initialRamdiskURL) +let diskImageURL = URL(fileURLWithPath: CommandLine.arguments[3], isDirectory: false) +let diskImageAttachment = try VZDiskImageStorageDeviceAttachment(url: diskImageURL, readOnly: false) +let storageDeviceConfiguration = VZVirtioBlockDeviceConfiguration(attachment: diskImageAttachment) +configuration.storageDevices = [storageDeviceConfiguration] + do { try configuration.validate() } catch { @@ -71,7 +76,11 @@ func createBootLoader(kernelURL: URL, initialRamdiskURL: URL) -> VZBootLoader { // Use the first virtio console device as system console. "console=hvc0", // Stop in the initial ramdisk before attempting to transition to the root file system. - "rd.break=initqueue" + "rd.break=initqueue", + // Give time for the boot image to be available. + "rootdelay=5", + // Specify the boot image. + "root=/dev/vda" ] bootLoader.commandLine = kernelCommandLineArguments.joined(separator: " ") @@ -104,6 +113,6 @@ func createConsoleConfiguration() -> VZSerialPortConfiguration { } func printUsageAndExit() -> Never { - print("Usage: \(CommandLine.arguments[0]) <kernel-path> <initial-ramdisk-path>") + print("Usage: \(CommandLine.arguments[0]) <kernel-path> <initial-ramdisk-path> <bootable-filesystem-image-path>") exit(EX_USAGE) } Output: ./LinuxVirtualMachine /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-vmlinuz-generic /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-initrd-generic /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64.img ...snip... Gave up waiting for root file system device. Common problems: - Boot args (cat /proc/cmdline) - Check rootdelay= (did the system wait long enough?) - Missing modules (cat /proc/modules; ls /dev) ALERT! /dev/vda does not exist. Dropping to a shell! If I instead create a RAW disk image formatted as APFS with the contents of the root drive from the Ubuntu releases page, the mount works but Linux can not read the disk (presumably due to the APFS formatting?): ./LinuxVirtualMachine /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-vmlinuz-generic /Users/username/Downloads/ubuntu-23.10-server-cloudimg-arm64-initrd-generic /Users/username/Desktop/ubuntu-23.10-server.dmg ...snip... Warning: Type of root file system is unknown, so skipping check. mount: mounting /dev/vda on /root failed: Invalid argument done. Begin: Running /scripts/local-bottom ... done. Begin: Running /scripts/init-bottom ... mount: mounting /dev on /root/dev failed: No such file or directory mount: mounting /dev on /root/dev failed: No such file or directory done. mount: mounting /run on /root/run failed: No such file or directory To make that disk image, I did: hdiutil create -size 2g -fs "HFS+" -volname "EmptyImage" ubuntu-23.10-server hdiutil attach ubuntu-23.10-server.dmg diskutil eraseDisk APFS UbuntuFS disk4 // where disk4 is the mounted drive number from the previous step sudo cp -R /path/to/extracted-ubuntu-root-filesystem/* /Volumes/UbuntuFS/ hdiutil detach disk4 What am I missing in order to transition from booting from the RAM disk to booting from the root filesystem?
Posted
by deadsilly.
Last updated
.
Post not yet marked as solved
4 Replies
393 Views
I have an M3 MacBook Pro, running macOS Sonoma 14.1.1. A tester of our app is running Monterrey, and is experiencing something we can't reproduce, so I need to set up a Monterrey environment. I searched for information here about VMs, and found an article about using VM Frameworks and Xcode, but I am not a programmer in any way. I used to use VMware years ago to host Windows and Linux machines on my Mac, but Google searching leads me to a 2 year old post about Parallels https://www.reddit.com/r/MacOS/comments/tuxfzq/how_can_i_run_macos_monterrey_in_a_virtual/ Can I get a suggestion for how to create and use VMs on Apple Silicon to test older OSs? Thank you.
Posted
by wesplate.
Last updated
.
Post not yet marked as solved
2 Replies
616 Views
I created a macOS 14 VM using https://github.com/s-u/macosvm which uses the Virtualization Framework. I want to check if I can use paravirtualized graphics for tensorflow workloads. I followed the steps from https://developer.apple.com/metal/tensorflow-plugin/ but when I run the script from step 4. Verify, I get a segmentation fault (see below). Did anyone try to get this kind of GPU compute in a VM and succeed? /Users/teuf/venv-metal/lib/python3.9/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020 warnings.warn( 2023-11-20 07:41:11.723578: I metal_plugin/src/device/metal_device.cc:1154] Metal device set to: Apple Paravirtual device 2023-11-20 07:41:11.723620: I metal_plugin/src/device/metal_device.cc:296] systemMemory: 10.00 GB 2023-11-20 07:41:11.723626: I metal_plugin/src/device/metal_device.cc:313] maxCacheSize: 0.50 GB 2023-11-20 07:41:11.723700: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:306] Could not identify NUMA node of platform GPU ID 0, defaulting to 0. Your kernel may not have been built with NUMA support. 2023-11-20 07:41:11.723968: I tensorflow/core/common_runtime/pluggable_device/pluggable_device_factory.cc:272] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 0 MB memory) -> physical PluggableDevice (device: 0, name: METAL, pci bus id: <undefined>) zsh: segmentation fault python3 ./tensorflow-test.py Thread 0 Crashed:: Dispatch queue: metal gpu stream 0 MPSCore 0x1999598f8 MPSDevice::GetMPSLibrary_DoNotUse(MPSLibraryInfo const*) + 92 1 MPSCore 0x19995c544 0x199927000 + 218436 2 MPSCore 0x19995c908 0x199927000 + 219400 3 MetalPerformanceShadersGraph 0x1fb696a58 0x1fb583000 + 1129048 4 MetalPerformanceShadersGraph 0x1fb6f0cc8 0x1fb583000 + 1498312 5 MetalPerformanceShadersGraph 0x1fb6ef2dc 0x1fb583000 + 1491676 6 MetalPerformanceShadersGraph 0x1fb717ea0 0x1fb583000 + 1658528 7 MetalPerformanceShadersGraph 0x1fb717ce4 0x1fb583000 + 1658084 8 MetalPerformanceShadersGraph 0x1fb6edaac 0x1fb583000 + 1485484 9 MetalPerformanceShadersGraph 0x1fb7a85e0 0x1fb583000 + 2250208 10 MetalPerformanceShadersGraph 0x1fb7a79f0 0x1fb583000 + 2247152 11 MetalPerformanceShadersGraph 0x1fb6602b4 0x1fb583000 + 905908 12 MetalPerformanceShadersGraph 0x1fb65f7b0 0x1fb583000 + 903088 13 libmetal_plugin.dylib 0x1156dfdcc invocation function for block in metal_plugin::runMPSGraph(MetalStream*, MPSGraph*, NSDictionary*, NSDictionary*) + 164 14 libdispatch.dylib 0x18e79b910 _dispatch_client_callout + 20 15 libdispatch.dylib 0x18e7aacc4 _dispatch_lane_barrier_sync_invoke_and_complete + 56 16 libmetal_plugin.dylib 0x1156dfd14 metal_plugin::runMPSGraph(MetalStream*, MPSGraph*, NSDictionary*, NSDictionary*) + 108 17 libmetal_plugin.dylib 0x115606634 metal_plugin::MPSStatelessRandomUniformOp<float>::ProduceOutput(metal_plugin::OpKernelContext*, metal_plugin::Tensor*) + 876 18 libmetal_plugin.dylib 0x115607620 metal_plugin::MPSStatelessRandomOpBase::Compute(metal_plugin::OpKernelContext*) + 620 19 libmetal_plugin.dylib 0x1156061f8 void metal_plugin::ComputeOpKernel<metal_plugin::MPSStatelessRandomUniformOp<float>>(void*, TF_OpKernelContext*) + 44 20 libtensorflow_framework.2.dylib 0x10b807354 tensorflow::PluggableDevice::Compute(tensorflow::OpKernel*, tensorflow::OpKernelContext*) + 148 21 libtensorflow_framework.2.dylib 0x10b7413e0 tensorflow::(anonymous namespace)::SingleThreadedExecutorImpl::Run(tensorflow::Executor::Args const&) + 2100 22 libtensorflow_framework.2.dylib 0x10b70b820 tensorflow::FunctionLibraryRuntimeImpl::RunSync(tensorflow::FunctionLibraryRuntime::Options, unsigned long long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::__1::vector<tensorflow::Tensor, std::__1::allocator<tensorflow::Tensor>>*) + 420 23 libtensorflow_framework.2.dylib 0x10b715668 tensorflow::ProcessFunctionLibraryRuntime::RunMultiDeviceSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long long, std::__1::vector<std::__1::variant<tensorflow::Tensor, tensorflow::TensorShape>, std::__1::allocator<std::__1::variant<tensorflow::Tensor, tensorflow::TensorShape>>>*, std::__1::function<absl::lts_20230125::Status (tensorflow::ProcessFunctionLibraryRuntime::ComponentFunctionData const&, tensorflow::ProcessFunctionLibraryRuntime::InternalArgs*)>) const + 1336 24 libtensorflow_framework.2.dylib 0x10b71a8a4 tensorflow::ProcessFunctionLibraryRuntime::RunSync(tensorflow::FunctionLibraryRuntime::Options const&, unsigned long long, absl::lts_20230125::Span<tensorflow::Tensor const>, std::__1::vector<tensorflow::Tensor, std::__1::allocator<tensorflow::Tensor>>*) const + 848 25 libtensorflow_cc.2.dylib 0x2801b5008 tensorflow::KernelAndDeviceFunc::Run(tensorflow::ScopedStepContainer*, tensorflow::EagerKernelArgs const&, std::__1::vector<std::__1::variant<tensorflow::Tensor, tensorflow::TensorShape>, std::__1::allocator<std::__1::variant<tensorflow::Tensor, tensorflow::TensorShape>>>*, tsl::CancellationManager*, std::__1::optional<tensorflow::EagerFunctionParams> const&, std::__1::optional<tensorflow::ManagedStackTrace> const&, tsl::CoordinationServiceAgent*) + 572 26 libtensorflow_cc.2.dylib 0x28016613c tensorflow::EagerKernelExecute(tensorflow::EagerContext*, absl::lts_20230125::InlinedVector<tensorflow::TensorHandle*, 4ul, std::__1::allocator<tensorflow::TensorHandle*>> const&, std::__1::optional<tensorflow::EagerFunctionParams> const&, tsl::core::RefCountPtr<tensorflow::KernelAndDevice> const&, tensorflow::GraphCollector*, tsl::CancellationManager*, absl::lts_20230125::Span<tensorflow::TensorHandle*>, std::__1::optional<tensorflow::ManagedStackTrace> const&) + 452 27 libtensorflow_cc.2.dylib 0x2801708ec tensorflow::ExecuteNode::Run() + 396 28 libtensorflow_cc.2.dylib 0x2801b0118 tensorflow::EagerExecutor::SyncExecute(tensorflow::EagerNode*) + 244 29 libtensorflow_cc.2.dylib 0x280165ac8 tensorflow::(anonymous namespace)::EagerLocalExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 2580 30 libtensorflow_cc.2.dylib 0x2801637a8 tensorflow::DoEagerExecute(tensorflow::EagerOperation*, tensorflow::TensorHandle**, int*) + 416 31 libtensorflow_cc.2.dylib 0x2801631e8 tensorflow::EagerOperation::Execute(absl::lts_20230125::Span<tensorflow::AbstractTensorHandle*>, int*) + 132
Posted
by teuf.
Last updated
.
Post not yet marked as solved
1 Replies
399 Views
Hello, I am working with Virtualization framework in an Xcode swift project. I have also installed Parallels Desktop on my mac (Apple Silicon). I would like to convert a Parallels Desktop hard drive (hds file) to an image compatible with my Virtualization framework project. My goal is to run my Parallels Desktop virtual machine in my Xcode project. Is there a way to do that ? Thanks
Posted Last updated
.
Post not yet marked as solved
1 Replies
334 Views
Hello I have looked at Virtualization framework samples source code provided by Apple. There is something strange: For a linux guest OS, i can see a variable store: let variableStore = try VZEFIVariableStore(creatingVariableStoreAt: xxxx) ... let bootloader = VZEFIBootLoader() ... bootloader.variableStore = variableStore It seems this variable store is linked with NVRAM. For a macOS guest OS, there is no variable store. (The bootloader is created with VZMacOSBootLoader) My question is why macOS guest doesn't need variable store ? Thanks
Posted Last updated
.
Post not yet marked as solved
0 Replies
338 Views
Hello, I am downloading macOS restore image with VZMacOSRestoreImage, in order to deploy virtual machines. I have just upgraded my host mac to last Sonoma version. So, macOS restore image has just been downloaded on my computer during upgrade procedure. Is there a way to avoid a second download and ask VZMacOSRestoreImage to fetch my last local macOS image ? I think this image is still stored somewhere on my computer... Thanks
Posted Last updated
.
Post not yet marked as solved
1 Replies
325 Views
For some reason when I try to archive an app, which is using saveMachineStateTo function, it fails with this error: Value of type 'VZVirtualMachine' has no member 'saveMachineStateTo' It works fine when running as debug from Xcode. Also fails if I change run destination to release. I have project set to macOS 14. What can cause this?
Posted
by DDudycz.
Last updated
.
Post not yet marked as solved
3 Replies
526 Views
Hello, I am setting up a Linux virtual machine with Virtualization framework. It works fine. Here is how i am creating a network interface: let network_device = VZVirtioNetworkDeviceConfiguration() network_device.attachment = VZNATNetworkDeviceAttachment() vm_config.networkDevices = [network_device] As you can see, this is a NAT network. I would like to know the IP address assigned to this interface. macOS emulates a DHCP server and i would like to know the IP in my Xcode program. How can i do that ? Thanks
Posted Last updated
.
Post not yet marked as solved
0 Replies
372 Views
Good day , thank you very much for the #virtualization article I have now managed to create a linux(#debian 12/bookworm) virtual machine I now have the following questions. How can i increase the size of the GUI Linus VM.bundle from 68.72G to 150G? Unable to obtain an IP V4 address to a bridge (have intall brige-utils package) - can get IP v6 address without any problem. my #bridge setup is auto br0 iface br0 inet dhcp bridge_ports enp0s1 bridge-stp on bridge-fd 0 Unable to ping the host from the virtual machine , but able to ping vms from the host - no firewalls are running, how can i enable icmp from vm to host and host to other containers. my target is to run lxd/incus containers to test few of my applications in apple silicon I am now able to run lxd/incus without any problem. however i am not able to access the application that are running in the containers, provided I am logged into the linux vm which beats the purpose of publishing the my apps, few of the services are IBM informix REST API / Nginx . My #requirement is 1, increase the size of the vm image.(#GUI Linux vm.bundle) 2. Obtain #ip address V4 for br0 3. Run #lxd / #incus containers 4. #icmp comms between host / vm / containers Please let me know if there are possibilities to achieve my requirement. Thank you
Posted Last updated
.
Post marked as solved
1 Replies
498 Views
I'm aware signing in to an Apple ID on a macOS Virtual Machine is not supported, unfortunately. But is there a way to download Xcode from within the VM? I know the developer website used to have links where you could directly download Xcode outside the Mac App Store but I can't seem to find it?
Posted Last updated
.
Post not yet marked as solved
2 Replies
1.3k Views
I am trying to run an executable on Rosetta 2 that has been compiled to run on amd64. My current setup is: MacbookPro with M2 Pro chip. Docker that is running an Ubuntu 20.04 container with the virtualization features enabled and the setting on for "Use Rosetta for x86/amd64 emulation on Apple Silicon" enabled. When running the application, I was initially warned about missing libs. I have added these to the container in the relevant directories and the application now has no missing deps that I can see. When running the executable, I am getting the error shown below and I'm unsure how I can get past this or if I have done something wrong in the steps I have mentioned. *** stack smashing detected ***: terminated Aborted As a final attempt to get this to work, I made a very simple hello world C program, this also displayed the error shown above. I think based on the error before all libs are present that Rosetta is being called correctly and that this is not an issue with my Rosetta install. If anyone has any suggestions it would be greatly appreciated.
Posted
by tpx_ww.
Last updated
.
Post not yet marked as solved
1 Replies
382 Views
Hi, I am running GUI Linux using Apple provided reference examples.I would like to know if there is api which supports hot plug of devices and visible on my GUI Linux. I see VZDiskBlockDeviceStorageDeviceAttachment in the docs, but here we need to provide the /dev/* to get it visible in the Linux system, Would like to know the dynamic device detection capability api support if any.
Posted Last updated
.
Post not yet marked as solved
2 Replies
366 Views
Can you explain me why it is not possible to work with VZVirtualMachine on iOS ? iPad is working with the same ARM chips than mac. It would be great to create a Linux VM on an iPad pro for example... I am tossing a bottle into the sea... Thanks
Posted Last updated
.
Post not yet marked as solved
2 Replies
1.2k Views
Hello, I am trying to understand how macOS virtualization framework and Virtualization products work on M1 chips. I have tried Parallels Desktop. There are no third party kernel extensions (kext) installed with this product. When i plug an USB device on my mac, i get a popup asking me if i want to plug this device to my host mac or to the current Parallels virtual machine. How can this be possible without kext ? Device management is handled at kernel level... and there are no virtualization framework API for that... I have create a Linux virtual machine with Virtualization framework (similar to GNULinuxVirtualMachineSampleApp project): It works but I don't understand why i can't run Windows Virtual machines. Parallels Desktop seems to work with Virtualization framework too and this product can run ARM Windows Virtual Machine. How can they do that ? Is there a way to simulate key sending with Virtualization framework ? I have create a 64Gb disk (VZDiskImageStorageDeviceAttachment). I have a 64Gb file on my host mac, but i am using only 10Gb on the virtual machine at this moment. Is there a way to optimize the disk image file size ? VZVirtualMachine provides a "pause" method. I don't understand where the virtual machine state (RAM memory, ...) is saved on the host. Thanks a lot
Posted Last updated
.
Post not yet marked as solved
9 Replies
3.3k Views
The new Virtualization framework (and sample code!) are great. It's a lot of fun to run the sample code and quickly fire up multiple VMs of macOS running as a guest. However, the inability to authenticate with any iCloud services is a significant roadblock. Xcode, for example, is not allowing me to authenticate my developer account. Are there any plans to resolve this issue so that iCloud accounts can be authenticated from within a VM?
Posted
by kennyc.
Last updated
.
Post not yet marked as solved
4 Replies
530 Views
Im using VZVirtualMahcine with Linux guest system. Every once in a while, for no apparent reason, VM just freezes completely (screen just freezes at current state), and CPU usage of the process on host is using 100%. I need to force quit the app then. This happens even if guest os is just running doing nothing. Anyone else experienced this kind of behavior? It was like that on Ventura, and now also on Sonoma. Xcode 14 and 15.
Posted
by DDudycz.
Last updated
.
Post not yet marked as solved
7 Replies
4.1k Views
My device is MacBook Pro 13-inch, M1, 2020 Use source code provided by article https://developer.apple.com/documentation/virtualization/running_gui_linux_in_a_virtual_machine_on_a_mac When installing Debian, Fedora or Ubuntu, installation process can stuck at any point and cause the installation failed. Even if it is lucky enough to pass the installation phase, stuck could still happen at any time when the virtual machine is started. It seems that there is some low level error that cause the Linux kernel panic, while during this process error seems to be accumulated--it starts with some user level application in Linux starts to behave weirdly, such as sudo does not authenticate a valid user, apt can not run properly, then Linux kernel panic. Sometimes it behaves like the VM get stuck where it is not sure what happened inside it. I can't provide more detail as it happens randomly and the phenomenon differs each time. While generally it appears to be an accumulated error and eventually the VM get stuck.
Posted
by mark07.
Last updated
.
Post not yet marked as solved
1 Replies
484 Views
I m trying to identify if my launched process is running on a local mac machine(desktop/laptop) or a virtual macOS X instance like AWS EC2, Azure, MacStadium etc. I am using the below check for this: 1 . If running on native Apple hardware, the returned value contains the model name of the hardware: $ sysctl -n hw.model Macmini8,1 On virtualized hardware, the value may contain the hypervisor name: $ sysctl -n hw.model VMware7,0 If the command output doesn't contain the "Mac" substring, the malware considers that it is running in a virtual machine. 2. Checking USB device vendor names The commands used: ioreg -rd1 -c IOUSBHostDevice | grep "USB Vendor Name" Sample output on native Apple hardware: "USB Vendor Name" = "Apple Inc." "USB Vendor Name" = "Apple Inc." "USB Vendor Name" = "Apple, Inc." On virtualized hardware, the value may contain the hypervisor name: "USB Vendor Name" = "VirtualBox" "USB Vendor Name" = "VirtualBox" A virtual machine can be detected by checking if the command output contains a hypervisor name, for example "VirtualBox", "VMware", etc. 3 . Checking the "IOPlatformExpertDevice" registry class The command used: ioreg -rd1 -c IOPlatformExpertDevice The following fields of the IOPlatformExpertDevice class can be checked in order to detect a virtual machine: I wanted to know can a combination of these be used to identify a process running on a Cloud VM with certainity?
Posted Last updated
.
Post not yet marked as solved
1 Replies
626 Views
I installed Gentoo in virtual machine using Apple Virtualization framework. In linux then I installed avahi, configured the network in Bridge mode. Now I want to connect from this virtual machine to other computer in local network. I can see other computers on the local network, and connect with them using local IP address. But for some reason these are not detected using .local domain. I run avahi-browse -at|grep PS3 and it detected 4 entries for this computer: IPV4 _ssh._tcp local IPV6 _ssh._tcp local IPV4 _sftp-ssh._tcp local IPV6 _sftp-ssh._tcp local Also avahi-resolve -n PS3.local correctly detects IPv6 address of this machine. So why cannot I connect with the computer using PS3.local name?
Posted
by DDudycz.
Last updated
.