In this sponsored post, our friends over at Dell Technologies highlight a compelling case study: the University of Pisa gains greater flexibility and value from its IT infrastructure with widespread virtualization of resources, including high performance computing systems.
VMware and Nvidia Partner on Hybrid Cloud Architecture
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
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
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.”
Registration Opens for Stanford HPC Conference Virtual Event
Registration is now open for the Stanford HPC Conference. The two day ‘condensed’ agenda combines thought leadership and practical insights on HPC, AI, Data Science and much more. The virtual event takes place April 21-22. “The Stanford High Performance Computing Center in collaboration with the HPC-AI Advisory Council invite you to join the annual Stanford Conference as an entirely virtual experience.”
Full Roundup: SC19 Booth Tour Videos from insideHPC
Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.
VMware to add BitFusion GPU Virtualization to HPC Capabilities
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.”
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.”
Now Shipping: Leadership Performance with new 2nd Generation AMD EPYC Processors
Today AMD rolled out the 2nd Generation AMD EPYC family of processors that deliver performance leadership across a broad number of enterprise, cloud and HPC workloads. 2nd Gen AMD EPYC processors feature up to 64 “Zen 2” cores in leading-edge 7nm process technology to deliver record-setting performance while helping reduce total cost of ownership (TCO) by up to 50% across numerous workloads.
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.”