VSLAB Projects (2017-2019)
- Potheri Mohan (Deactivated)
This is a list of items that are completed or in progress.
Area | Project | Description | Planned Deliverables | Location | Start Quarter | Status | Owner (type "@" to write owner) |
SAP | SAP HANA Application Workload Guidance | Project to create a VMware Validated Design for SAP. | Whitepaper: Blog: https://blogs.vmware.com/apps/2017/06/awg_s4hana_part1.html VMworld: | SC2 | 2017 Q2 | Completed | |
Big Data | New Architectures for Apache SPARK & Big Data
| Used GlusterFS as an alternative to HDFS for Apache SPARK | Blog: https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/vmw-architectures-for- apache-spark-and-big-data.pdf VMworld: https://videos.vmworld.com/global/2017/videoplayer/16273
| SC2 | 2017 Q3 | Completed | |
Big Data & HPC | Big Data & HPC Experts event Palo Alto | Training was conducted for Big Data and HPC Experts in US. VSLAB was used for demo and hands on exercises. | External Blog: {+}http://michaelcorey.com/blog/vmware-experts-program-big-data/+ | SC2 | 2018 Q1 | Completed | |
SQL & Oracle | SQL & Oracle Experts event Sydney | Training was conducted for Oracle & SQL Experts in APAC. VSLAB was used for demo and hands on exercises. | Video: | SC2 | 2018 Q2 | Completed | |
Oracle | Oracle Security | Develop Best Practices guidelines for cloning Production Oracle Databases for test and development environments. Ensuring that security and compliance regulations are part of the process. | Demo: TBD Whitepaper TBD | SC2 | 2018 Q2 | In Progress | Marlin McNeil (Yucca Group) Victoria Whitlock (Boeing) Fred Gomez (Netapp) |
Big Data | Apache Spark with DataBricks on vSphere | Validate DataBricks runtime on vSphere on premises environment. Validate solution with NFS as the storage mechanism for SPARK. | Paper: Internal Document. Awaiting DataBricks sign off | SC2 | 2018 Q2 | Completed | |
Big Data | Apache Spark with DataBricks on VMC and S3 | Validate DataBricks runtime on vSphere on VMC environment. Validate solution with S3 as the storage mechanism for SPARK. | Paper: Internal Document. Awaiting DataBricks sign off | VMC | 2018 Q2 | Completed | |
HPC | Throughput testing in VMware Cloud on AWS | The goal of the proof of concept was to validate that the VMware Cloud on AWS infrastructure is viable and performant for HPC throughput workloads. Testing was done with throughput workloads to ensure that they were functional and ran well in the environment. | Blog: High Performance Computing Scalability Testing with VMware Cloud on AWS | VMC | 2018 Q2 | Completed | |
Machine Learning | Enhanced ML Features in vSphere 6.7 | Deploy a vSphere based Machine Learning environment leveraging 6.7 and NVIDIA GPU cards. Show case pause and resume use cases for ML with GPU. | Demos: Blogs:vSphere 6.7: Suspend and Resume of GPU-attached Virtual Machines VMworld: {+}https://videos.vmworld.com/global/2018/videoplayer/22954+ | SC2 | 2018 Q2 | Completed | |
Big Data | Cloudera on VMware Cloud on AWS with S3 | Deploy and Validate Cloudera with VMC on AWS. Leverage S3 as the data storage platform. | Blogs: How Virtualization helps Data Science and Machine Learning | VMC | 2018 Q3 | Completed | |
HPC /ML | Real World ML Use Cases on vSphere | Identify useful real world machine learning use cases. Deploy use cases in a virtualized environment leveraging NVIDIA Grid and TensorFlow. | Demos:
| SC2 | 2018 Q3 | Completed | UC Berkeley CS Students |
Oracle | Oracle E-Business Suite Virtualization | Oracle E-Business Suite Hybrid Cloud Failover with the VMware Cloud on AWS | Demos: DR for Oracle EBS using VMC | SC2 VMC | 2018 Q3 | Completed | Dean Bolton (VLSS) |
HPC /ML | Machine Learning leveraging NVIDIA GPUs with Bitfusion on VMware vSphere | Virtualization, which has a reputation of facilitating sharing of hardware resources, can also be leveraged for sharing GPUs. In this study we will look at the performance impact of sharing GPUs leveraging BitFusion. | Multi Part Blog: | SC2 | 2018 Q3 | Completed | |
HPC /ML | Machine Learning leveraging NVIDIA GPUs with Bitfusion on VMC and AWS EC2 | Replicated previous project on VMC on AWS with EC2 GPU instances | Project deemed infeasible due to latency issues on the ENI connection to EC2. Lessons learned about VMC that were conveyed to engineering. | SC2 | 2018 Q3 | Completed | |
Machine Learning | Using GPUs with Virtual Machines on vSphere | Studies comparing different mechanism for deploying and using GPUs with vSphere | Multi Part Blog: | SC2 | 2018 Q3 | Completed | |
HPC | Sharing GPUs in Singularity Containers | Virtualization, which is a proven way of facilitating sharing of hardware resources, can also be leveraged for sharing GPUs. Combining containers with vSphere virtual machines can bring together the best of both worlds. | Blogs:Sharing NVIDIA GPUs in Singularity HPC containers leveraging vSphere | SC2 | 2018 Q3 | Completed | |
HPC/GPU Accelerated Databases | Accelerating Database Analytics with GPUs and SQReam DB | Validate vSphere as a platform for GPU accelerated databases. SQReamDB with TPC-H testing | Blogs: Virtualizing SQReamDB GPU accelerated Databases Solution Brief: In Progress | SC2 | 2018 Q4 | Completed | |
Apps | Accelerating Applications with virtualized Persistent Memory | This work covers initial configuration of the PMem in vSphere and the way how different virtualized business critical applications (like SQL Server, Oracle, SAP) can profit from using the PMem. | Blogs: Accelerating applications performance with virtualized Persistent Memory | SC2 | 2018 Q3 | Completed | |
Apps | Labs and Exercises for VMworld Bootcamps | Bootcamps were conducted as part of Pre-conference training for customers for all areas including Microsoft, HPC, Big Data & Oracle. | Blogs: VMworld 2018 US Virtualizing Applications Track – Pre-Conference Customer Boot Camps | SC2 | 2018 Q3 | Completed | |
SQL | Using Persistent Memory with a virtual Microsoft SQL Server | This project covers how an instance of Microsoft SQL Server (further referenced as SQL Server) can consume virtual NVDIMM device in vPMem | Blogs: Using Persistent memory with a virtual Microsoft SQL Server – vPMem mode | SC2 | 2018 Q3 | Completed | |
Oracle | Oracle and vSphere Persistent Memory (PMEM) performance studies | Deploy a solution showcasing integration between VMware PKS, Kubernetes and MongoDB Enterprise Manager. | Demos : Accelerating Oracle Performance using vSphere Persistent Memory PMEM – Demo Blogs: Oracle on vSphere Persistent Memory Instance Recovery | SC2 | 2018 Q4 | Completed | |
SAP | SAP HANA with Persistent Memory in vSphere 6.7 | Investigate the functionality of Persistent Memory (PMEM) in vSphere 6.7 with an SAP HANA system. | SC2 | 2018 Q4 | Completed | ||
NSX | Networking for VMC configuration testing | Different network configurations and testing for hybrid cloud between VSLAB and VMC for Experts & Partners | New shared Environment for partners and Alumni from Expert events | SC2 & VMC | 2018 Q4 | Completed | |
MongoDB | MongoDB Manager integration with Kubernetes with PKS | Deploy a solution showcasing integration between VMware PKS, Kubernetes and MongoDB Enterprise Manager. | Demos: Blogs: | SC2 | 2019 Q1 | Completed | Mohan Potheri |
Machine Learning | H20.ai platform on vSphere | Deploy and validate H20.ai ML platform on vSphere | Demos : Blogs: | SC2 | 2019 Q1 | Completed | |
Machine Learning | H20.ai platform on vSphere | Machine Learning with Apache Spark, H2O.ai & NVIDIA GPUs | Blogs: Deploying a Machine Learning Model into Production on VMware with H20, Apache Spark and GPUs | SC2 | 2019 Q1 | Completed | |
Machine Learning | Leveraging VMC for Machine Learning | University students leveraging VMC infrastructure for ML | Exposure to VMware for Academia. | SC2 | 2019 Q1 | Completed | Enrique Corro |
Machine Learning | Caffe2 & PyTorch on VMware PKS | Deploy a solution showcasing integration between VMware PKS, Caffe2 and PyTorch for Deep Learning workloads | Demos: Blogs:https://blogs.vmware.com/apps/2019/05/k8_ml_caffe2_pytorch_1-of-2.html | SC2 | 2019 Q1 | Completed | Mohan Potheri |
HPC | VMware Platform features can greatly benefit HPC environments. | Show case VMware Platform Benefits such as Multi-tenancy, HA, DRS, Snapshots, etc. in HPC. | Demos: Blogs: https://blogs.vmware.com/apps/2019/07/vmware-hpc-benefits.html | SC2 | 2019 Q2 | Completed | Charu Chaubal |
Machine Learning | Leveraging GPU sharing with data scientists for H2O.ai | Build a solution leveraging vSphere and Bitfusion for GPU sharing in virtualized H2O.ai platform. | Blogs: https://blogs.vmware.com/apps/2019/02/machine-learning-with-h2o-the-benefits-of-vmware.html | SC2 | 2019 Q2 | Completed | |
Machine Learning | Deploying a Machine Learning Model into Production on VMware with H2O, Apache Spark and GPUs | his article describes the various options for production deployment of ML pipelines using H2O’s tools, the JVM and the Apache Spark platform. | Blogs: hhttps://blogs.vmware.com/apps/2019/03/deploying-a-machine-learning-model-into-production-on-vmware-with-h20-apache-spark-and-gpus.html | SC2 | 2019 Q2 | Completed | |
Machine Learning | Machine Learning on VMware: Training a Model with H2O.ai Tools, Inference using a REST Server and Kubernetes | In this article, we explore the tools and process for (1) Training a machine learning model on a given dataset using the H2O Driverless AI (DAI) tool, and (2) Deploying a trained model, as part of a scoring pipeline, to a REST server for use by business applications. | SC2 | 2019 Q2 | Completed | ||
SAP | Live Migration of SAP HANA 2.0 SP3 Deployed on Persistent Memory on vSphere 6.7 | In this article we show an experimental deployment of a test S/4HANA system running SAP HANA 2.0 SP3 on vSphere 6.7 with persistent memory (PMEM) – this is the first version of HANA that supports PMEM and is PMEM aware. | SC2 | 2019 Q2 | Completed | ||
SAP BCA Workshops | Experts event Palo Alto | Training to be conducted for SAP Experts. VSLAB will be used for demo and hands on exercises. |
| SC2 | 2019 Q2 | Completed | BCA Team |
Data Science | Machine Learning with H20.ai | Machine Learning with H2O on VMware Cloud on AWS: Moving a Live Training Experiment Between Servers | Blogs: https://blogs.vmware.com/apps/2019/09/machine-learning-with-h2o-on-vmware-cloud-on-aws-moving-a-live-training-experiment-between-servers.html https://blogs.vmware.com/apps/2020/01/virtualized_drl_bitfusion.html
| SC2 | 2019 Q3 | Completed | |
HPC | Virtualized HPC Cloud Platform with UberCloud & HPE | Deploy and validate the UberCloud Container platform solution for HPC on vSphere and the HPE Apollo HW platform | Blogs: https://blogs.vmware.com/apps/2019/10/on-demand-hpc-on-vsphere-with-ubercloud.html | SC2 | 2019 Q3 | Completed | UberCloud (Baris Inaloz)
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Apps | Labs and Exercises for VMworld Bootcamps | Bootcamps will be conducted as part of Pre-conference training for customers for all areas including Microsoft, HPC, Big Data & Oracle. | Application Bootcamps at VMworld 2019 | SC2 | 2019 Q3 | Completed | Oleg Ulyanov Vas Mitra Sudhir Balasubramanian |
VMware Cloud Foundation | Deploy VSLAB Hybrid Cloud leveraging VMware Cloud Foundation | Rebuild VMware Solutions lab from scratch by leveraging VCF. Deploy hybrid cloud with VCF on premises and VMC public cloud infrastructure. | VMworld session | SC2 | 2019 Q3 |
| Heath Johnson |
Machine Learning | Distributed Machine Learning with Horovod | Deploy Horovod on vGPU and PVRDMA and create demo for VMworld! | Paper: https://blogs.vmware.com/apps/files/2019/08/Horovod_vGPU_PVRDMA_NVIDIA.pdf Video: | SC2 | 2019 Q3 | Completed | Mellanox NVIDIA |
Machine Learning | End to End Machine Learning for Natural Language Processing | Showcase ML for Natural Language processing on Kubernetes training with GPU. Deploy and demonstrate inference with CPU in remote location. (Edge) | Video: | SC2 | 2019 Q3 | Completed | InterraIT |
SAP | Management of SAP Data Flows in the Software Defined Datacenter with vRealize Network Insight | VRNI and its use with SAP for security and network analysis | SC2 | 2019 Q3 | Completed | ||
Kubernetes | Jupyter Notebook as a service | Leverage PKS Enterprise with Pure Storage Orchestrator to leverage persistent volumes and build Jupyter notebook as a service | Blogs: https://blog.purestorage.com/jupyter-flash-kubernetes/ | SC2 | 2019 Q3 |
| Pure Storage |
Kubernetes | Extend Kubernetes capabilities to support Bitfusion | Extend capabilities of PKS enterprise with Bitfusion driver at the Bosch node level | VMworld Session: https://videos.vmworld.com/global/2019/videoplayer/28505 | SC2 | 2019 Q3 | Completed | |
Kubernetes | Leveraging Singularity as Runtime for Kubernetes with PKS | Proof of concept with Singularity runtime on PKS Essentials | SC2 | 2019 Q4 | Completed | ||
Kubernetes | Distributed Machine Learning on VMware vSphere with GPUs and Kubernetes | Leveraging Horovod and vGPU for distributed ML | Webinar: | SC2 | 2019 Q4 | Completed |
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Kubernetes | Deploying and running Kubernetes on VMC on AWS | Provide guidance for running PKS Essentials on VMC on AWS | Blog: https://blogs.vmware.com/apps/2019/11/deploying-and-running-kubernetes-on-vmware-cloud-on-aws.html | VMC Oregon | 2019 Q4 | Completed | |
Machine Learning | VMware Bitfusion POC images | Development of POC templates for VMware Bitfusion |
| SC2 | 2019 Q4 | Completed | Jim Brogan |
Cloud Native | Pivotal apps on VCF and NSX-T | Validate Pivotal solution on NSX-T and VCF | ISV Validation
| SC2 | 2019 Q4 | Completed | Pivotal |
Cloud Native | CockroachDB on VMware SDDC | Validate CockroachDB solution on VMware SDDC | ISV Validation
| SC2 | 2019 Q4 | Completed | CockroachDB |
Data Science | Anaconda Enterprise on vSphere & PKS Essentials | Show case Anaconda Enterprise and its cloud native data science applications on vSphere. | Blogs: https://blogs.vmware.com/apps/2020/01/virtualized_drl_bitfusion.html Videos:
| SC2 | 2019 Q4 | Completed | InterraIT |
Oracle | Oracle Experts event DOAG Germany | Training was conducted for Oracle Experts in DOAG. VSLAB was used for demo and hands on exercises. | Labs and Workshops | SC2 | 2020 Q1 | Completed | |
Machine Learning | PCIE Device placement and NUMA | Device locality and NUMA placement on vSphere | Blogs: https://frankdenneman.nl/2020/01/10/pcie-device-numa-node-locality/ | SC2 | 2020 Q1 | Completed | Frank Denneman |
Kubernetes | Pure Storage Orchestrator with PKS | Leverage PSO for seamless kubernetes storage provisioning and management | Blogs: https://blog.purestorage.com/jupyter-flash-kubernetes/ | SC2 | 2020 Q1 | In Progress | Pure Storage |
Machine Learning | Distributed Machine Learning with VMware Bitfusion | Showcase Distributed ML with VMware Bitfusion | Video: https://youtu.be/ET2j_zP1_iM Paper: TBD | SC2 | 2020 Q1 | Completed | InterraIT |
Machine Learning | Confluent with VMware vSphere | Validate Confluent solution with Apache Kafka on vSphere | Blogs: TBD Video: TBD | SC2 | 2020 Q1 | In Progress | |
Machine Learning | Dotscience with VMware vSphere | Validate Dotscience solution for ML/AI end to end workloads | Blogs: Kafka on vSphere with Kubernetes leveraging Confluent Operator | SC2 | 2020 Q1 | Completed | |
Machine Learning | Research with VMware Research Group | VMware Research is working on a research project on multi-application scheduling for ML and looking for a GPU cluster | Blogs: None | SC2 | 2020 Q1 | Completed | Sangeetha Jyothi |
Database Acceleration | Reniac with FPGA Acceleration | Collaborative project with Reniac, Intel and VMware for FPGA based acceleration | Blog: Accelerating Virtualized & Distributed Cassandra databases with FPGAs | SC2 | 2020 Q3 | Completed | |
Machine Learning | ML/AI Reference Architecture in collaboration with Dell | This Reference Architecture describes a VMware Cloud Foundation based solution for Machine Learning environments with GPUs. The solution combines VMware virtualization and container orchestration with the latest hardware innovations to provide robust infrastructure for machine learning applications. | Paper: Sharing GPUs in ML/AI environments. (A Reference Architecture with DTC) | SC2 | 2020 Q2 | Completed | Janet Morss (Dell) |
HPC | Dynamic infrastructure for HPC on demand | Project Multiverse originates from the OCTO HPC team and implements a virtualized HPC framework for dynamic VM creation/destruction based on user jobs. In other words, it is a VM per job model which spawns individual VMs on demand for every incoming job in an HPC Cluster. | Blog: Project Multiverse Paper: IEEE Proceedings Paper | SC2 | 2020 Q2 | Completed |
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HPC | HPC Reference Architecture update for Dell | High Performance Computing (HPC) workloads have been traditionally run on bare-metal, non-virtualized clusters. Virtualization was often seen as an additional layer that leads to performance degradation. Performance studieshave shown that virtualization often has minimal impact on HPC application performance. | SC2 | 2020 Q2 | Completed | Janet Morss (Dell) | |
HPC | TKG with UberCloud HPC Containers | Deploy and validate the UberCloud Container platform solution on VMware TKG Plus and TKGI. | Blog: TBD Paper: TBD | SC2 | 2020 Q3 | In Progress | Daniel Gruber (UberCloud) |
ML with Kubernetes | Integration between Bitfusion, TKG and PKS Enterprise | There is a need for modern application developers and data scientists to leverage Kubernetes and be able to access GPUs for their training and other needs. It can be very cost prohibitive to provide these developers individually with GPUs. vSphere Bitfusion provides access over the network to GPUs that are aggregated into a dedicated vSphere cluster or resource pool. The solution shows the integration between three different types of Tanzu Kubernetes with Bitfusion that includes TKG Guest, TKG Supervisor & TKGI clusters. | SC2 | 2020 Q3 | Completed | ||
ML/AI with Kubernetes | VMware Tanzu Kubernetes on FlashBlade® for ML/HPC Applications | There is a need for modern application developers and data scientists to leverage Kubernetes and be able to access GPUs for their training and other needs. It can be very cost prohibitive to provide these developers individually with GPUs. vSphere Bitfusion provides access over the network to GPUs that are aggregated into a dedicated vSphere cluster or resource pool. The solution shows the integration between three different types of Tanzu Kubernetes with Bitfusion that includes TKG Guest, TKG Supervisor & TKGI clusters. | Blog: https://blog.purestorage.com/purely-technical/vmware-tanzu-kubernetes-on-flashblade/ = | SC2 | 2020 Q3 | Completed | Bikash Choudhury |
HPC | NSX Micro-segmentation and its effect on HPC workloads | NSX Micro-segmentation can be leveraged for multi-tenancy for HPC workloads. This study measures any impact it would have on Network Latency | Paper: TBD | SC2 | 2020 Q3 | Completed | Michael Cui Na Zhang |
Machine Learning | NVIDIA & VMware Keynote A100 compute | Collaborative project to showcase Covid related computing and imaging for use in VMworld Keynote | Keynote video: https://www.vmworld.com/en/video-library/video-landing.html?sessionid=1598654132634001BSxt | SC2 | 2020 Q3 | Completed | |
Machine Learning | Multi Instance GPU with vSphere 7 | Collaborative project to showcase MIG capabilities with NVIDIA A100 GPU | SC2 | 2020 Q3 | Completed | ||
Machine Learning | NVIDIA & VMware Keynote Smart NICs | Collaborative project to showcase smart NICs from Mellanox with GPUs on vSphere | SC2 | 2020 Q3 | Completed | Niels Hagoort | |
Machine Learning | Bitfusion Use Cases | Multiple use cases and feature showcase | https://blogs.vmware.com/vsphere/2020/09/bitfusion-client-service-lightweight-gpuaas.html https://blogs.vmware.com/vsphere/2020/08/bitfusion-jupyter-integration-its-full-of-stars.html | SC2 | 2020 Q2, Q3 & Q4 | Completed | James Brogan |
HPC | Virtualizing ParallelWorks | Parallel Works POC on vSphere to prove out capabilities | No Publications | SC2 | 2020 | Completed | Parallel Works |
Machine Learning | Virtualizing Algorithmia | Validation of Algorithmia ML platform on vSphere | VMLive Video: https://www.youtube.com/watch?v=PKvkWe8pzPo | SC2 | 2020 Q3 | Completed | Algorithmia |
Data Analytics | Greenplum integration with vSphere | VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform, based on the open-source Greenplum Database project, designed to run the full gamut of analytical workloads from business intelligence (BI) to artificial intelligence (AI). Enterprise data lives and grows throughout an organization, and it is suboptimal to copy large data sets between different systems because they aren’t able to perform fast enough, scale high enough or offer the right features. Tanzu Greenplum brings compute to where the data lives. | VMworld 2020 Sessions https://www.vmworld.com/en/video-library/video-landing.html?sessionid=1586467547979001ehEa https://www.vmworld.com/en/video-library/video-landing.html?sessionid=1589580297282001SUMh Blogs: https://tanzu.vmware.com/content/blog/analytic-workloads-bi-ai-vmware-tanzu-greenplum | SC2 | 2020 Q3 | Completed | Domino Valdano Frank McQuillan |
Machine Learning | Data for Good (Part of the VMware Tech for Good Initiative.) | Nonprofits and NGOs have accumulated tremendous amount of data over the past decades. Their data has great potential to solve many of the world’s most pressing problems. These organizations lack the compute & storage capacity along the technology to analyze the data that they have accumulated many of the world’s pressing problems. vSphere is a great hybrid platform for data analytics with its support for high performance networking and accelerators like GPU. VMware Solutions Lab has a robust hybrid cloud infrastructure for high performance data analytics, which it will make available and free to use for nonprofits. Common data analytics problems (Kaggle Competitions) will be validated to run well in the lab infrastructure. VMware vMLP platform would be leveraged for this project. | Video: In Progress | SC2 | 2020 Q4 | Completed | |
Machine Learning | Apache Spark 3 with NVIDIA GPU based analytics | Apache Spark is an open source project that has achieved wide popularity in the analytical space. It is used by well-known big data and machine learning workloads such as streaming, processing wide array of datasets, and ETL, to name a few. Kubernetes is now a native option for Spark resource manager. By packaging Spark application as a container, you can reap the benefits of containers because you package your dependencies along with your application as a single entity. Given the “embarrassingly parallel” nature of many data processing tasks, GPUs can be of tremendous benefit. This project will combine VMware Tanzu, Apache Spark and NVIDIA GPU capabilities to showcase accelerated Apache Spark 3.0. | Video: https://youtu.be/EK2YqcjKkgc | SC2 | 2020 Q4 | Completed | |
HPC | Nimbix on VMware Cloud | Running HPC apps on Nimbix with multi-cloud capabilities | Video Demo: https://youtu.be/Yam83dK3ypg | SC2 | 2020 Q4 | Completed | |
Microsoft | SQL Server memory sizing | Monitoring and Rightsizing Memory Resource for virtualized SQL Server Workloads | SC2 | 2020 Q4 | Completed | Oleg Ulyanov | |
DBaaS | DBaas with Scalegrid | Showcase partner capabilities of Scalegrid for end to end Database as a service capabilities. | Blogs: In progress Video: https://youtu.be/LxR6RPWWxpE | SC2 | 2021 Q1 | Completed | |
Multi-Cloud Tanzu | Deploy a multi-tiered Tanzu based solution across clouds and manage with Tanzu Mission control and Tanzu Service Mesh. | Funded project for Tanzu Multi-Cloud with a distributed modern application | Paper: In progress Blogs: In progress Video Demo: In progress | SC2 | 2021 Q1 | In Progress | |
AI/ML | Bitfusion 3.0 Solution and use cases | Use cases for Bitfusion 3.0 lunch | Blogs: https://core.vmware.com/blog/bitfusion-300-unleashed https://core.vmware.com/resource/bitfusion-compatibility-and-interoperability https://core.vmware.com/resource/running-multiple-applications-one-gpu-vsphere-bitfusion | SC2 | 2021 Q1 | Completed | Jim Brogan |
AI/ML | Assignable HW in vSphere 7 | Demonstration of assignable HW with vSphere 7 | SC2 | 2021 Q1 | Completed | Niels Hagoort | |
Multi-Cloud | Workloads in VMware Cloud | Consistent Workload Performance for Enterprise Apps in VMware Multi-Cloud | Blogs: https://blogs.vmware.com/apps/2021/03/workload-vmware-multi-cloud.html | SC2 | 2021 Q1 | Completed | Oleg Ulyanov |
AI/ML | NVIDIA GPU features in vSphere 7 Update 2 | Multiple Machine Learning Workloads Using NVIDIA GPUs: New Features in vSphere 7 Update 2 | SC2 | 2021 Q1 | Completed | Justin Murray | |
Multi-Cloud Modern Application | Workloads in VMware Cloud | This solution show cases a multi-cloud deployment of a distributed application leveraging Tanzu Kubernetes Grid. The multi cloud TKG solution is deployed in a distributed fashion across two different cloud environments that includes a VMC on AWS SDDC in Oregon and VMC on Dell EMC SDDC in Santa Clara. Tanzu Mission Control and Tanzu service mesh described below are used to operationalize, secure and manage the environment. | In part 1 of the blog series we look at the challenges faced by organization leveraging Kubernetes across multi-cloud environments and looked at some of the components of the VMware Tanzu portfolio. In part 2 of the blog series, we look at the components of the Multi-Cloud solution and their deployment.In this part of the blog series, we will look at deployment of the application and the workings of the solution. I In this part 3 of the blog series, we look at deployment of the application and the workings of the solution. Video of Solution is here: | SC2 | 2021 Q2 | Completed | Mohan Potheri |
Distributed AI/ML | Accelerated Distributed AI/ML training with PVRDMA | Deploy Horovod with PVRDMA for distributed machine learning training | Paper: In progress VMworld Session: TBD | SC2 | 2021 Q2 | In Progress | PVRDMA Team |
Multi-Cloud AI/ML | Training on-prem and inference in AWS | Collaborative project with AWS team on AI/ML. Infrastructure across multi-cloud | Blogs: TBD VMworld Session: TBD | SC2 | 2021 Q2 | In Progress | Sahil Thapar (AWS) |
Oracle | Virtualizing Oracle Workloads with VMware vSphere Virtual Volumes on VMware Hybrid Cloud | Oracle on VMware vVols using Pure Storage | Paper Completed | SC2 | 2021 Q1 | Completed | Sudhir Balasubramanian,Jason Massae |
Oracle | Oracle VMware Hybrid Cloud Business Continuity and Disaster Recovery Guide | Oracle BC & DR using Pure Storage | Paper in progress | SC2 | 2021 Q2 | In Progress | Sudhir Balasubramanian, Cato Grace,Jason Massae |
Oracle | Deploying Oracle Workloads on vSAN HCI Mesh Compute Cluster – Disaggregating Compute and Storage | Oracle on vSAN HCI Mesh | Blog completed | SC2 | 2021 Q2 | Completed | Sudhir Balasubramanian |
Oracle | On Demand hot extend clustered vmdk's online without downtime – Hot Extend RAC clustered disks | Oracle RAC blog | Blog completed | SC2 | 2021 Q2 | Completed | Sudhir Balasubramanian |
Oracle | Reclaiming dead space from Oracle databases on VMware Hybrid Platform | Oracle Blog | Blog completed | SC2 | 2021 Q2 | Completed | Sudhir Balasubramanian |
Oracle | No downtime Storage vMotion of Oracle RAC Cluster using shared vmdk’s with multi-writer attribute from one vSAN to another vSAN Cluster using VMware HCI Mesh | Oracle Blog | Blog completed | SC2 | 2021 Q1 | Completed | Sudhir Balasubramanian |
Oracle | Backing up Oracle Workloads (RAC & Non-RAC) with VMware Snapshot Technology | Oracle Blog | Blog completed | SC2 | 2021 Q1 | Completed | Sudhir Balasubramanian |
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