Vmware workstation 14 the file specified is not a virtual disk free

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I have you want to increase the size of the hard drive. The descriptor file is a case-insensitive text based file that contains the following information:. The Register. Not sure if it can be manually engaged at the base I have a copy of. Sign up or log in Sign up using Google. In any case, I took a look at the vmx file and found: scsi
 
 

Vmware workstation 14 the file specified is not a virtual disk free

 

Super User is a question and answer site for computer enthusiasts and power users. It only takes a minute to sign up. Connect and share knowledge within a single location that is structured and easy to search. All was well until I put my VM into suspended mode and then put my computer to sleep for the night. Once I booted it up it gave me an error saying that it couldn’t find the virtual disk sorry I don’t have the exact error message.

Now I am getting this error. I must’ve given it the wrong vmdk file. But when I go to Settings, it is not letting change the file path to a different vmdk.

Right click on the virtual machine, then go to Open VM directory. If you find any. If you don’t have a snapshot, you can try to inspect the. After you re-install the OS, copy the old files and you should be relatively fine. Sign up to join this community. The best answers are voted up and rise to the top. Stack Overflow for Teams — Start collaborating and sharing organizational knowledge. Create a free Team Why Teams? Learn more about Teams. Vmware Workstation – The file specified is not a virtual disk.

Cannot open the disk xxxx or one of the snapshot disks it depends вот ссылка Ask Question. Asked 1 year ago. Modified 30 days ago. Viewed 3k times. Module ‘Disk’ power on failed. Failed to start the virtual machine. Improve this question. Barley Barley 11 1 1 silver badge 5 5 bronze badges. This is a double-post of superuser. Add a comment. Sorted by: Reset to default. Highest score default Vmware workstation 14 the file specified is not a virtual disk free modified newest first Date created oldest first.

There may be a stale lock on that file. EDIT Failing that, your vmdk may indeed be corrupted for some reason. If this is the case, you may revert to a snapshot if available.

Improve this answer. Darwin A. Всем! windows 10 control panel windows update missing free download продолжения 3 3 bronze badges. I don’t see any more. There is only a cache dir, some log files, a bunch of vmdk files, a nvram, a vmsd, a vmx, a vmxf, a vmem, and a vmss in the directory. No, there aren’t. It seems that the error that I put in my original post says that the vmdk file that I selected as my “Disk file” is incorrect Show 5 more comments.

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VMware Workstation – Wikipedia

 

Hit Next to continue. Virtual Machine Hardware Compatibility. Select the necessary virtual machine hardware version, for example, Workstation Guest Operation System Installation. Select I will install the operating system later.

Guest Operating System. Select Linux , then select Ubuntu bit in the drop-down menu. Virtual Machine Name.

Enter the name and set the location for your virtual machine. Processor configuration. Select the number of processors and the number of processor cores according to configuration used on your physical Linux machine that you are converting to a VMware VM. Memory for the Virtual Machine. Set the amount of memory that is at least equal to the amount of memory on your physical Linux computer.

Network Connection. Select the network type, for example, Bridged networking. Make sure that the source Linux server is now disconnected so as to prevent network conflicts. Select the recommended value. Virtual Disk Type. Select the recommended disk type. Select a Disk. Choose the Use an existing virtual disk option. Select an Existing Disk. In the current example, the sda-vmware. Add other disks manually after VM creation by editing virtual machine settings.

Ready to Create Virtual Machine. Check the configuration summary and if everything is correct, hit Finish. Note: If you have converted multiple physical disks to virtual disks, add remaining virtual disks by doing the following:. Create a VM from a template. Select an OVF Template. Click Local File , then hit Browse. If you select only one OVF template file, a message about missing files and their names will be displayed.

Select a name and folder. Specify a unique VM name and target location a datacenter or VM folder. Select a compute resource. You can get the error on this step: Issues detected with selected template. This error can occur when the hardware version set in the VM template is higher than the hardware version supported by an ESXi host.

Edit the OVF file in the text editor to fix this issue. You can use Vim in Linux. Go to the directory where the OVF template is located and edit the file:. Always back up all of your important data before carrying out any disk operations. We can try to delete unnecessary files on this virtual disk. However, Linux does not automatically zero blocks after deleting files; you will have to do this yourself. You can do this by using the dd data duplicator utility for copying and converting data.

This tool is available on all Linux systems. NOTE : Before running the dd utility, it is necessary to make sure the datastore has enough capacity to use it e.

In our case, 10, MB is the amount of free space that we want to fill with zeroes, so the number of 1-Megabyte blocks is This is where you should indicate the source from which you want to copy data. After executing the above command, the size of our VMDK file grows. This is the output we see after the successfully completed command:. This means that almost the whole root partition i. This is because we have filled most of the previously “available” space with zeroes. Now, our thin-provisioned virtual disk is ready to be shrunk.

Like Linux, Windows does not automatically zero blocks after deleting files. These commands will zero out any free space on your thin-provisioned disk by filling in any unused space on the specified partitions. By default, when View Composer creates linked clones and runs QuikPrep, one of the tasks is to rearm licensing. You can prevent rearm by setting the following registry key:.

Full script is included in the article. Microsoft FSLogix has two major features:. An alternative approach is to install all apps on the base image and use FSLogix App Masking to hide unauthorized apps from unauthorized users. No delays during logon. Notice that per-device licenses are excluded. See Licensing Requirements at Microsoft Docs. Microsoft has compiled a list of links to various optimization guides.

Usually such customizations include the following. With that said the certain practices are quite debatable and vary between actual real-world deployments.

Exact choices whether to disable this or that particular component depend on customer requirements and VDI usage patterns. Some customers rely heavily on particular UI functions and other can relatively easily trade them off for the sake of performance or standardization thus enhance supportability and potentially security.

Though there are a number of such papers and even tools published either by the community or third parties. This Wiki page is aimed to serve as a consolidated and comprehensive list of such resources. Love your work Carl. Just thought i would mention an additional step in case you were interested. Clearing out queued. NET items on the goldmaster prevents your large pools from having to do it later on mass.

Hi Carl, Is there a way to get a list of Horizon client version each user is connecting from in Horizon 7. Or much easier, use this Fling. Hi Carl, We are planning to upgrade from Horizon 7. We have many users using Horizon Clients 5. Yes to both. I assume you are trying to do dedicated machines using Composer Linked Clones. I much prefer full clones for dedicated machines. Do you have any idea? Thank you, do you also have a fix for the new standard photo app?

I cant even download apps from the store, because a gpo from the opt tool disable it. A roll back doesnt help. R5 instances are well suited for memory intensive applications such as high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications. R5a instances are well suited for memory intensive applications such as high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications.

R5b instances increase EBS performance by 3x compared to same-sized R5 instances. High performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics. Amazon EC2 R5 instances are ideal for memory-bound workloads including high performance databases, distributed web scale in-memory caches, mid-sized in-memory database, real time big data analytics, and other enterprise applications. The higher bandwidth, R5n and R5dn, instance variants are ideal for applications that can take advantage of improved network throughput and packet rate performance.

High performance databases, distributed web scale in-memory caches, mid-sized in-memory database, real time big data analytics and other enterprise applications. Amazon EC2 X2idn instances are powered by 3rd generation Intel Xeon Scalable processors with an all core turbo frequency up to 3.

In-memory databases e. SAS, Aerospike. Large scale in-memory databases e. Amazon EC2 X2iezn instances are powered by the fastest Intel Xeon Scalable processors code named Cascade Lake in the cloud, with an all-core turbo frequency up to 4. Electronic design automation EDA workloads like physical verification, static timing analysis, power signoff, and full chip gate-level simulation.

Amazon EC2 X1e instances are optimized for large scale databases, in-memory databases, and other memory-intensive enterprise applications. High performance databases, in-memory databases e. Amazon EC2 X1 instances are optimized optimized for enterprise-class databases and in-memory applications.

Amazon EC2 z1d instances offer both high compute capacity and a high memory footprint. High frequency z1d instances deliver a sustained all core frequency of up to 4.

Ideal for electronic design automation EDA and certain relational database workloads with high per-core licensing costs. Accelerated computing instances use hardware accelerators, or co-processors, to perform functions, such as floating point number calculations, graphics processing, or data pattern matching, more efficiently than is possible in software running on CPUs.

Amazon EC2 P4 instances are the latest generation of GPU-based instances and provide highest performance for machine learning training and high performance computing in the cloud. Machine learning, high performance computing, computational fluid dynamics, computational finance, seismic analysis, speech recognition, autonomous vehicles, and drug discovery. Machine learning, high performance databases, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other server-side GPU compute workloads.

Deep learning training, object detection, image recognition, natural language processing, and recommendation engines. Amazon EC2 Trn1 instances will deliver the best price performance for training deep learning models in the cloud. Trn1 instances are now available in preview. Machine learning training for natural language processing NLP , computer vision, search, recommendation, ranking, and more. Amazon EC2 Inf1 instances are built from the ground up to support machine learning inference applications.

Recommendation engines, forecasting, image and video analysis, advanced text analytics, document analysis, voice, conversational agents, translation, transcription, and fraud detection.

Amazon EC2 G5 instances are designed to accelerate graphics-intensive applications and machine learning inference. They can also be used to train simple to moderately complex machine learning models. Graphics-intensive applications such as remote workstations, video rendering, and cloud gaming to produce high fidelity graphics in real time. Training and inference deep learning models for machine learning use cases such as natural language processing, computer vision, and recommender engine use cases.

They are the first Arm-based instances in a major cloud to feature GPU acceleration. Customers can also use G5g instances for cost-effective ML inference. Android game streaming, machine learning inference, graphics rendering, autonomous vehicle simulations. Amazon EC2 G4dn instances are designed to help accelerate machine learning inference and graphics-intensive workloads.

Machine learning inference for applications like adding metadata to an image, object detection, recommender systems, automated speech recognition, and language translation. G4 instances also provide a very cost-effective platform for building and running graphics-intensive applications, such as remote graphics workstations, video transcoding, photo-realistic design, and game streaming in the cloud.

Amazon EC2 G4ad instances provide the best price performance for graphics intensive applications in the cloud. Graphics-intensive applications, such as remote graphics workstations, video transcoding, photo-realistic design, and game streaming in the cloud. Amazon EC2 G3 instances are optimized for graphics-intensive applications. For f1. Genomics research, financial analytics, real-time video processing, big data search and analysis, and security. Storage optimized instances are designed for workloads that require high, sequential read and write access to very large data sets on local storage.

They are also an ideal fit for workloads that require very fast access to medium size data sets on local storage such as search engines and data analytics workloads. They are also an ideal fit for workloads that require higher storage density and very fast access to large data sets on local storage such as search engines Splunk and Elasticsearch , data streaming, and large distributed file systems.

I4i instances are also an ideal fit for workloads that can benefit from high compute performance per TB of storage such as data analytics and search engines. I3 also offers Bare Metal instances i3. Small to medium-scale NoSQL databases e. Cassandra, MongoDB, Aerospike , in-memory databases e. Redis , scale-out transactional databases, data warehousing, Elasticsearch, analytics workloads. I3en also offers Bare Metal instances i3en. Small to large-scale NoSQL databases e.

Redis , scale-out transactional databases, distributed file systems, data warehousing, Elasticsearch, analytics workloads. Massively Parallel Processing MPP data warehousing, MapReduce and Hadoop distributed computing, distributed file systems, network file systems, log or data-processing applications.

Distributed File Systems e. Redshift, HP Vertica , Log or data processing applications e. D3en instances offer the lowest dense storage costs amongst all cloud offerings.

 
 

Vmware workstation 14 the file specified is not a virtual disk free

 
 
Open your virtual machine’s settings file . · Look for the line that begins with: · There is a file name, in quotes, after the equal sign. · Save. Hi. I am receiving the error “The file specified is not a virtual disk”. This was a working vm, please assist as i do software development.