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Mellanox Powers Virtualized Machine Learning with VMware and NVIDIA

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

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

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.”

Virtualization Adds Value, Benefits to HPC Environments

VMware explores the concepts of virtual throughput clusters and CPU overcommitment with VMware vSphere to create multitenant and agile virtual HPC computing environments.

Virtualizing AI & HPC Workloads with vSphere

In this video from the Dell EMC HPC Community Meeting, Josh Simons from VMware describes why more customers are moving their HPC & AI workloads to virtualized environments using vSphere. “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

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.”