This section provides information on previous generations of virtual machine sizes. These sizes can still be used, but there are newer generations available. F-series is based on the 2. Workloads such as analytics, gaming servers, web servers, and batch processing will benefit from the value of the F-series. For details, see Design for high performance. Newer size recommendation : NVv3-series. These virtual machines are targeted for GPU accelerated graphics applications and virtual desktops where customers want to visualize their data, simulate results to view, work on CAD, or render and stream content.

Additionally, these virtual machines can run single precision workloads such as encoding and rendering. This license gives you the flexibility to use an NV instance as a virtual workstation for a single user, or 25 concurrent users can connect to the VM for a virtual application scenario. This section provides information on older generations of virtual machine sizes.

These sizes are still supported but will not receive additional capacity. There are newer or alternative sizes that are generally available. Please refer to Sizes virtual machines in Azure to choose the VM sizes that will best fit your need. Newer size recommendation : Av2-series. The basic tier sizes are primarily for development workloads and other applications that don't require load balancing, auto-scaling, or memory-intensive virtual machines. For this specific size only, other customer deployments may impact the performance of your running workload.

The relative performance is outlined below as the expected baseline, subject to an approximate variability of 15 percent. The A8-A11 and H-series sizes are also known as compute-intensive instances. The hardware that runs these sizes is designed and optimized for compute-intensive and network-intensive applications, including high-performance computing HPC cluster applications, modeling, and simulations.

We strongly recommend not creating any new A8 — A11 VMs. Newer size recommendation : Dav4-seriesDv4-series and Ddv4-series. Newer size recommendation : DCsv2-series. The DC-series uses the latest generation of 3. Newer size recommendation : Dasv4-seriesDsv4-series and Ddsv4-series. Newer size recommendation : Lsv2-series. The Ls-series does not support the creation of a local cache to increase the IOPS achievable by durable data disks.

The maximum disk throughput possible with Ls-series VMs may be limited by the number, size, and striping of any attached disks.

Newer size recommendation : Easv4-seriesEsv4-seriesEdsv4-series and M-series.

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Newer size recommendation : Eav4-seriesEv4-series and Edv4-series and M-series. Newer size recommendation : NVv3-series and NVv4-series. Users are able to visualize their graphics intensive workflows on the NV instances to get superior graphics capability and additionally run single precision workloads such as encoding and rendering.

Newer size recommendation : NC T4 v3-series. Users can crunch through data faster by leveraging CUDA for energy exploration applications, crash simulations, ray traced rendering, deep learning, and more. The NC24r configuration provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads. The NC24rs v2 configuration provides a low latency, high-throughput network interface optimized for tightly coupled parallel computing workloads.

Should I create a generation 1 or 2 virtual machine in Hyper-V?

Request a vCPU quota increase for this series in an available region. They offer excellent performance for training and inference. These instances provide excellent performance for single-precision floating point operations, for AI workloads utilizing Microsoft Cognitive Toolkit, TensorFlow, Caffe, and other frameworks.

Skip to main content.There are two generations of Hyper-V virtual machines — Generation 1 and Generation 2. The choice of VM generation is important when a VM is created; this choice is also dependent on the guest operating system, the host operating system, boot methods and other factors. Generation 2 machines are newer than Generation 1 machines, although sometimes Generation 1 machines may be required for use. This blog post explains the differences between Hyper-V generation 1 vs 2 virtual machines, in order to help you make the right choice to meet your requirements.

generation 1 vm

A physical computer needs a set of hardware components in order to work. All required hardware components must be emulated to make the virtual machine work.

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Special software that can imitate the behavior of real hardware is included in Hyper-V; as a result the VM can operate with virtual devices. Emulated hardware that is identical to real hardware includes drivers that are catered to most operating systems in order to provide high compatibility. Among the virtual devices of Gen 1 VM you can find:.

GPT partitioning scheme allows one to overcome the limit of 2-TB disks for which the maximum number of partitions is 4 for a MBR partitioning scheme. Secure Boot is a feature that allows protection against modifying boot loaders and main system files; this is done by comparing the digital signatures that must be trusted by the Original Equipment Manufacturer OEM.

First shut down the VM and then add an emulated legacy network adapter. Gen 2 VMs support a network boot with a synthetic network adapter because they use UEFI, which is able to communicate with this network adapter type. VHDX format has a list of advantages including:.

As you can see, copying files becomes more convenient for Gen 2 VMs. Although during regular use this advantage can be unnoticeable, it may help you save time when you need to install and configure a high number of new VMs or use Virtual Desktop Infrastructure VDI. In the past, operating systems were released without the awareness of running on virtual machines. For this reason, hardware emulation is used. Gen 1 VMs use the approach of hardware emulation for maximum compatibility.

The newest operating systems are aware of running on virtual machines and use VMBus instead of searching legacy controllers or chipsets. Most of the legacy-emulated devices have been removed for Gen 2 VMs, and new faster synthetic hardware is used instead. With tighter hypervisor integration and a lower number of virtual devices, VM performance may increase. The maximum amount of virtual RAM and the maximum number of virtual CPU that can be assigned for a virtual machine has been increased:.

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Thus, you can use Gen 2 VMs for tasks that consume more resources. Before creating the VM, check if the version of the host operating system supports the required maximum amount of memory and maximum number of virtual processors.

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Windows Server has higher limits than Windows Server R2. Try to predict any possible use cases for the VM before creation, because changing a VM generation afterwards is not supported.

A new Gen 2 VM with a new boot disk is created during conversion process.

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You can use this tool at your own responsibility without any warranties. Despite the generation of VMs, they should be backed up to prevent the data loss. Gen 2 VMs are preferred for use, but only bit operating systems can run on them. It is important to try to predict all possible use cases before you create the VM because changing the generation of the VM after creation is not supported.

Boost data protection for your Microsoft Hyper-V environment and optimize resource allocation. Download NOW.If you plan to ever upload Windows virtual machines VMs from on-premises to Microsoft Azure, generation 1 and generation 2 VMs in the VHD file format and have a fixed sized disk are supported.

Your choice to create a generation 1 or generation 2 virtual machine depends on which guest operating system you want to install and the boot method you want to use to deploy the virtual machine.

generation 1 vm

We recommend that you create a generation 2 virtual machine to take advantage of features like Secure Boot unless one of the following statements is true:. For more information about what features are available with generation 2 virtual machines, see Hyper-V feature compatibility by generation and guest. You can't change a virtual machine's generation after you've created it. So, we recommend that you review the considerations here, as well as choose the operating system, boot method, and features you want to use before you choose a generation.

Generation 1 virtual machines support most guest operating systems. Generation 2 virtual machines support most bit versions of Windows and more current versions of Linux and FreeBSD operating systems. Use the following sections to see which generation of virtual machine supports the guest operating system you want to install.

Windows guest operating system support.

generation 1 vm

Debian guest operating system support. FreeBSD guest operating system support. Oracle Linux guest operating system support. SUSE guest operating system support. Ubuntu guest operating system support. The following table shows which bit versions of Windows you can use as a guest operating system for generation 1 and generation 2 virtual machines. The following table shows which versions of Debian you can use as a guest operating system for generation 1 and generation 2 virtual machines.

For more information, see Debian virtual machines on Hyper-V. The following table shows which versions of FreeBSD you can use as a guest operating system for generation 1 and generation 2 virtual machines. The following table shows which versions of Red Hat Compatible Kernel Series you can use as a guest operating system for generation 1 and generation 2 virtual machines. The following table shows which versions of Unbreakable Enterprise Kernel you can use as a guest operating system for generation 1 and generation 2 virtual machines.

For more information, see Oracle Linux virtual machines on Hyper-V. The following table shows which versions of SUSE you can use as a guest operating system for generation 1 and generation 2 virtual machines. The following table shows which versions of Ubuntu you can use as a guest operating system for generation 1 and generation 2 virtual machines. For more information, see Ubuntu virtual machines on Hyper-V.

Previous generations of virtual machine sizes

The following table shows which boot methods are supported by generation 1 and generation 2 virtual machines.If wedges give you a lift, you'll like the Eleanor Wedge from dexflex Comfort.

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In the first fixture of the Super-Playoffs of the Pro Kabaddi League Season 5, it will be an eliminator match between the Puneri Paltan and UP Yoddha to progress onto the next stage and it will be held at the Dome, NSCI in Mumbai. The two teams finished second and third in Zone A and Zone B to seal their spot in the knockouts. Puneri Paltan is coming into this match on the back of a one-point loss against the Gujarat Fortunegiants from Friday evening while UP Yoddha slumped to a big 64-24 defeat against the Bengaluru Bulls in their last fixture, but the team had fielded a second string side in that match having qualified for the playoffs.

The two teams have clashed against each other just once earlier in the league and the match turned out to be an edge-of-the-seat thriller with Puneri Paltan coming out on top by a slender margin of just one point. When it comes to the attack, the UP Yoddha have an upper hand over Puneri Paltan given their duo of frontline raiders, Nitin Tomar and Rishank Devadiga who have picked up over 320 points between themselves.

Moreover, they have a cushion in the presence of Surender Singh, who plays as the third raider and is in prime form with a couple of consecutive Super-10 outings. Their defence is primarily manned by Jeeva Kumar in the cover position with the young Sagar Krishna and Nitesh Kumar in either corner, both of whom have given some stellar performances over the course of the season.

To complete the starting seven, Gurvinder Singh or Pankaj might be included in the scheme of things, to add depth to the defence.

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Puneri Paltan, on the other hand, relies majorly on their skipper, Deepak Hooda to do the bulk of the raiding and if he is to be rendered out of the equation the team will be in deep trouble.

Rajesh Mondal does thrive in pressure situations but has not been able to single-handedly rip apart the rival defence. Sandeep Narwal and Girish Ernak have been stellar as corner defenders and will look to continue in the same fashion.

Young guns Monu and Rinku Narwal, both able all-rounders will also take to the mat alongside the veteran Dharmaraj Cheralathan. UP may have a slight advantage with their attack and if their defence comes to the party as well, they can well be able to keep Puneri Paltan at bay by primarily keeping Deepak Hooda and Monu off the mat for long periods of time.I couldn't be more pleased with Nordic Visitor. On both my tours with you Iceland and Norway the service was absolutely perfect.

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The point differential is chosen to be positive when the home team scores more points than the away team. To represent the difference between the two teams that are playing in the matchup, the ratio or the difference between the same attributes are taken between the two teams. Therefore, when attributes are a positive indicator of performance, a value greater than 1 indicates that the home team performs better for that particular attribute.

Examples of this are win streak, compared to statistics such as points per game that would be compared by taking the ratio.

Web Scraping The data is scraped from several websites according to each sport using Python and the Selenium and BeautifulSoup (only for MLB data) packages for Python. Data sources for each sports are described in the "Link" section. Game stat data, team stat data, and datetime data are merge later into a feature file (. In the same scripts, After having obtained the raw data set, data is cleaned throughout the script. The script checked the completeness and validity of all the data files, and eliminated any CSV parsing errors or erroneous data values.

Here is the main idea: Having validated all our available data, the script then proceeded to load the data from the csv files into an SQL database using the SQLite single-file database engine and a few Python scripts. The flexibility of SQL queries allowed one to easily perform complex joins and merges between multiple tables via the the script.

Thus, the script converts the clean scraped data to data structures that the libraries in scikit-learn can easily use. The ultimate result of the routines included in this file is a numpy array containing all the features and game results for the historical game data.

The features have not been normalized but the next script provide one the ability to easily normalize or standardize the data. Algorithm Tuning and Running This step is located in the "RunModelLeague.

A logistic regression predictive model with the L1 penalty is created. Analysis of results are output to csv files. Then, webscraping (through the ScrapeMatchupDatetimeOddsTwoChoicesLeague. Thus, the final output give additionnal detail such as odds for both home and away teams, the choice of the bookmaker (e. Here's below an example of the final output for the Ligue 1 soccer league.

Results Presentation Model Performance Metrics First of all, webscraping (through the SibylVsBookiesNFL. Below you can see an example of output that help one make a clear performance comparison between Sibyl and the bookies for the 2016 MLB season. Then, algorithm performance measure is performed through the ModelMetricsLeague.

ML one-sport process in a nutshell For a given league, the entire process described above can be run via the ModelLeague. License The Bet on Sibyl is licensed under the terms of the GPL Open Source license and is available for free.

Links Here are all the website sources for data web scraping:Notes All us leagues and soccer leagues models are done. Tennis model is ongoing but partially finished.

Any recommendation, help for the model would be much appreciated. Here is below an example of the output for the 2017 nba season Then, webscraping (through the ScrapeMatchupDatetimeOddsTwoChoicesLeague.