Sign up for our newsletter and get the latest big data news and analysis.
Daily
Weekly

Nvidia Unveils AI Enterprise Software Suite with VMware vSphere 7

SANTA CLARA, Calif., March 09, 2021 – Nvidia today announced AI Enterprise, a software suite of enterprise-grade AI development tools and frameworks supported by Nvidia with VMware vSphere 7 Update 2. Nvidia said the software suite enables vSphere compute virtualization users to build AI applications with the same tools they use to manage data centers […]

Reading the Intel Tea Leaves: Pat Gelsinger’s HPC Paradox

As he takes charge of Intel, CEO Pat Gelsinger faces a paradox: his new company is both troubled and a revenue geyser; if Intel is to continue its historical growth rates, he’ll need the skills of a corporate turnaround artist. These contradictions surely apply to Intel’s position in HPC/AI/data center server processors, where the company […]

Taking Virtualization to a Higher Level at the University of Pisa

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.”