At Virtual SC20, VMware’s Mohan Potheri, the company’s principal systems and virtualization architect, talked with us about the broadening array of approaches used by VMware’s HPC customers and the emerging technologies that facilitate those approaches. VMware’s reach, range and the company’s means of delivering solutions are core themes of its activities this week at SC20. […]
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At Virtual SC20: VMware Talks Trends and Transformational Technology for Virtualized HPC Workloads
November 16, 2020 by
VMware and Nvidia Partner on Hybrid Cloud Architecture
September 29, 2020 by
VMware and Nvidia announced today what the companies called “a broad partnership” in support of an enterprise platform for AI and a new architecture for data center, cloud and edge using Nvidia DPUs (data processing units). The collaboration will enable AI software on the Nvidia NGC hub to be integrated into VMware vSphere, VMware Cloud […]
Video: VMware Talks GPU Virtualization, Sharing for AI/ML
July 21, 2020 by
In this video, Mike Adams, VMware’s Senior Director CPBU, AI/ML Market Development, talks with us about a new, integrated VMware vSphere 7 feature enabling “elastic infrastructure” on-demand for AI and machine learning. VMware vSphere Bitfusion is a result of VMware’s 2019 acquisition of Bitfusion, developer of virtualized hardware accelerators, including GPUs, used to improve performance of AI/ML workloads.
Agile HPC with VMware Cloud Foundation & UberCloud
April 26, 2020 by
Thomas Francis from the UberCloud and Mohan Potheri from VMware gave this talk at the Stanford HPC Conference. “In this solution we combine the capabilities of the VMware platform, with the solution provided by UberCloud which leverages the automation capabilities of Terraform with the unique packaging and distributing capabilities of docker-based HPC containers to dynamically deploy HPC applications on the vSphere platform.”
VMware to add BitFusion GPU Virtualization to HPC Capabilities
November 27, 2019 by
In this video from SC19, Mohan Potheri from VMware describes how virtualization makes HPC users more productive. “High Performance Computing workloads are forecasted to be one of the fastest-growing workload types through 2020. With VMware, you can capture the benefits of virtualization for HPC workloads while delivering performance that is comparable to bare-metal. Our approach to virtualizing HPC adds a level of flexibility, operational efficiency, agility and security that cannot be achieved in bare-metal environments—enabling faster time to insights and discovery.”
NVIDIA to Accelerate Machine Learning on VMware Cloud
August 27, 2019 by
Today NVIDIA and VMware announced plans to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications.
Mellanox Powers Virtualized Machine Learning with VMware and NVIDIA
August 26, 2019 by
Today Mellanox announced that its RDMA (Remote Direct Memory Access) networking solutions for VMware vSphere enable virtualized Machine Learning solutions that achieve higher GPU utilization and efficiency. “As Moore’s Law has slowed, traditional CPU and networking technologies are no longer sufficient to support the emerging machine learning workloads,” said Kevin Deierling, vice president marketing, Mellanox Technologies. “Using hardware compute accelerators such as NVIDIA T4 GPUs and Mellanox’s RDMA networking solutions has proven to boost application performance in virtualized deployments.”
Accelerating Machine Learning on VMware vSphere with NVIDIA GPUs
March 7, 2019 by
Mohan Potheri from VMware gave this talk at Stanford HPC Conference. “This session introduces machine learning on vSphere to the attendee and explains when and why GPUs are important for them. Basic machine learning with Apache Spark is demonstrated. GPUs can be effectively shared in vSphere environments and the various methods of sharing are addressed here.”
VMware Powers Machine Learning & HPC Workloads
December 10, 2018 by
In this video from SC18 in Dallas, Ziv Kalminovich from VMware describes how the company’s powerful virtualization capabilities bring flexibility and performance to HPC workloads. “With VMware, you can capture the benefits of virtualization for HPC workloads while delivering performance that is comparable to bare-metal. Our approach to virtualizing HPC adds a level of flexibility, operational efficiency, agility and security that cannot be achieved in bare-metal environments—enabling faster time to insights and discovery.”
Video: VMware powers HPC Virtualization at NVIDIA GPU Technology Conference
March 28, 2018 by
In this video from from 2018 GPU Technology Conference, Ziv Kalmanovich from VMware and Fred Devoir from NVIDIA describe how they are working together to bring the benefits of virtualization to GPU workloads. “For cloud environments based on vSphere, you can deploy a machine learning workload yourself using GPUs via the VMware DirectPath I/O or vGPU technology.”
