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Monthly Archives: October 2017

Performance of SQL Server 2017 for Linux VMs on vSphere 6.5

Microsoft SQL Server has long been one of the most popular applications for running on vSphere virtual machines.  Last year there was quite a bit of excitement when Microsoft announced they were bringing SQL Server to Linux.  Over the last year Microsoft has had quite a bit of interest in SQL Server for Linux and it was announced at Microsoft Ignite last month that it is now officially launched and generally available.

VMware and Microsoft have collaborated to validate and support the functionality and performance scalability of SQL Server 2017 on vSphere-based Linux VMs.  The results of that work show SQL Server 2017 for Linux installs easily and has great performance within VMware vSphere virtual machines. VMware vSphere is a great environment to be able to try out the new Linux version of SQL Server and be able to also get great performance.

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Skylake Update – Oracle Database Performance on vSphere 6.5 Monster Virtual Machines

We were able to get one of the new four-socket Intel Skylake based servers and run some more tests. Specifically we used the Xeon Platinum 8180 processors with 28 cores each. The new data has been added to the Oracle Monster Virtual Machine Performance on VMware vSphere 6.5 whitepaper. Please check out the paper for the full details and context of these updates.

The generational testing in the paper now includes a fifth generation with a 112 vCPU virtual machine running on the Skylake based server. Performance gain from the initial 40 vCPU VM on Westmere-EX to the Skylake based 112 vCPU VM is almost 4x.

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Episode 3: Performance Comparison of Native GPU to Virtualized GPU and Scalability of Virtualized GPUs for Machine Learning

In our third episode of machine learning performance with vSphere 6.x, we look at the virtual GPU vs. the physical GPU. In addition, we extend the performance results of machine learning workloads using VMware DirectPath I/O (passthrough) vs. NVIDIA GRID vGPU that have been partially addressed in previous episodes:

Machine Learning with Virtualized GPUs

Performance is one of the biggest concerns that keeps high performance computing (HPC) users from choosing virtualization as the solution for deploying HPC applications despite virtualization benefits such as reduced administration costs, resource utilization efficiency, energy saving, and security. However, with the constant evolution of virtualization technologies, the performance gaps between bare metal and virtualization have almost disappeared, and, in some use cases, virtualized applications can achieve better performance than running on bare metal because of the intelligent and highly optimized resource utilization of hypervisors. For example, a prior study [1] shows that vector machine applications running on a virtualized cluster of 10 servers have a better execution time than running on bare metal.

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Updated – SQL Server VM Performance with vSphere 6.5, October 2017

Back in March, I published a performance study of SQL Server performance with vSphere 6.5 across multiple processor generations.  Since then, Intel has released a brand-new processor architecture: the Xeon Scalable platform, formerly known as Skylake.

Our team was fortunate enough to get early access to a server with these new processors inside – just in time for generating data that we presented to customers at VMworld 2017.

Each Xeon Platinum 8180 processor has 28 physical cores (pCores), and with four processors in the server, there was a whopping 112 pCores on one physical host!

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Highlights from: The Extreme Performance Series at VMworld 2017

Thank you to everyone who attended VMworld 2017 and especially those that participated in this year’s Extreme Performance Series.  While the conference is wrapped up, the content created and presented there, is now available to everyone! So grab a chair and advance your performance skill set.

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