Fujitsu Skylake to Cascade Lake Graph

First VMmark 3.1 Publications, Featuring New Cascade Lake Processors

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VMmark is a free tool used by hardware vendors and others to measure the performance, scalability, and power consumption of virtualization platforms.  If you’re unfamiliar with VMmark 3.x, each tile is a grouping of 19 virtual machines (VMs) simultaneously running diverse workloads commonly found in today’s data centers, including a scalable Web simulation, an E-commerce Read more...

vMotion across hybrid cloud: performance and best practices

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VMware Cloud on AWS is a hybrid cloud service that runs the VMware software-defined data center (SDDC) stack in the Amazon Web Services (AWS) public cloud. The service automatically provisions and deploys a vSphere environment on a bare-metal AWS infrastructure, and lets you run your applications in a hybrid IT environment across your on-premises data Read more...

vSAN Performance Diagnostics Now Shows “Specific Issues and Recommendations” for HCIBench

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By Amitabha Banerjee and Abhishek Srivastava The vSAN Performance Diagnostics feature, which helps customers to optimize their benchmarks or their vSAN configurations to achieve the best possible performance, was first introduced in vSphere 6.5 U1. vSAN Performance Diagnostics is a “cloud connected” feature and requires participation in the VMware Customer Experience Improvement Program (CEIP). Performance metrics Read more...

Storage DRS Performance Improvements in vSphere 6.7

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Virtual machine (VM) provisioning operations such as create, clone, and relocate involve the placement of storage resources. Storage DRS (sometimes seen as “SDRS”) is the resource management component in vSphere responsible for optimal storage placement and load balancing recommendations in the datastore cluster. A key contributor to VM provisioning times in Storage DRS-enabled environments is the Read more...

SPBM compliance check just got faster in vSphere 6.7 U1!

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vSphere 6.7 U1 includes several enhancements in Storage Policy-Based Management (SPBM) to significantly reduce CPU use and generate a much faster response time for compliance checking operations. SPBM is a framework that allows vSphere users to translate their workload’s storage requirements into rules called storage policies. Users can apply storage policies to virtual machines (VMs) Read more...

Sharing GPU for Machine Learning/Deep Learning on VMware vSphere with NVIDIA GRID: Why is it needed? And How to share GPU?

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By Lan Vu, Uday Kurkure, and Hari Sivaraman  Data scientists may use GPUs on vSphere that are dedicated to use by one virtual machine only for their modeling work, if they need to. Certain heavier machine learning workloads may well require that dedicated approach. However, there are also many ML workloads and user types that do not use Read more...

VMware’s AI-based Performance Tool Can Improve Itself Automatically

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PerfPsychic  our AI-based performance analyzing tool, enhances its accuracy rate from 21% to 91% with more data and training when debugging vSAN performance issues. What is better, PerfPsychic can continuously improve itself and the tuning procedure is automated. Let’s examine how we achieve this in the following sections. How to Improve AI Model Accuracy Three Read more...
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VMware Speedily Resolves Customer Issues in vSAN Performance Using AI

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We in VMware’s Performance team create and maintain various tools to help troubleshoot customer issues—of these, there is a new one that allows us to more quickly determine storage problems from vast log data using artificial intelligence. What used to take us days, now takes seconds. PerfPsychic analyzes storage system performance and finds performance bottlenecks Read more...

New white paper: Big Data performance on VMware Cloud on AWS: Spark machine learning and IoT analytics performance on-premises and in the cloud

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By Dave Jaffe A new white paper is available comparing Spark machine learning performance on an 8-server on-premises cluster vs. a similarly configured VMware Cloud on AWS cluster. Here is what the VMware Cloud on AWS cluster looked like: Three standard analytic programs from the Spark machine learning library (MLlib), K-means clustering, Logistic Regression classification, Read more...