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Google Unveils 1st Public Cloud VMs using Nvidia Ampere A100 Tensor GPUs

Google today introduced the Accelerator-Optimized VM (A2) instance family on Google Compute Engine based on the NVIDIA Ampere A100 Tensor Core GPU, launched in mid-May. Available in alpha and with up to 16 GPUs, A2 VMs are the first A100-based offering in a public cloud, according to Google. At its launch, Nvidia said the A100, built on the company’s new Ampere architecture, delivers “the greatest generational leap ever,” according to Nvidia, enhancing training and inference computing performance by 20x over its predecessors.

HPE (Cray) SVP, HPC Luminary Steve Scott Leaving for Microsoft

In news disclosed via tweet, Microsoft Azure Principal Program Manager for HPC & Big Compute Evan Burness disclosed that Steve Scott, long-time industry luminary and senior manager at Cray, is leaving HPE for Microsoft to become technical fellow and corporate vice president of hardware architecture. Mostly at Cray off and on for nearly 30 years […]

Cloud Adoption for HPC: Trends and Opportunities

This whitepaper is an insideHPC Special Research Report sponsored by Univa® Corporation: Cloud Adoption for HPC:
Trends and Opportunities. Recently, InsideHPC ran a survey, sponsored by Univa, to identify the trends and opportunities for adoption of HPC workflows in the cloud. There were 143 respondents: 39% academic/non-profit, 17%  manufacturing or engineering, 11% government research; 59% North America, 24% Europe, 8% Asia; 59% with less than 20,000 employees. This whitepaper is a summary of what was learned from this survey.

Getting Smart About Slurm in the Cloud

This timely article from our friends over at Univa takes a look at how often the popular HPC workload manager Slurm (Simple Linux Utility for Resource Management) is used in the cloud. In a recent InsideHPC survey sponsored by Univa, all Slurm users surveyed reported using public cloud services to at least some degree.

Cloud Automation: Five Ways to Contain HPC Cloud Spending

This timely article from our friends over at Univa examines how the cloud is attractive for organizations that need fast access to specialized resources, and that want to avoid the cost and complexity of on-premise infrastructure. The article then offer five important ways that Cloud Automation can reduce cost.

Taming the Cost of HPC in the Cloud

This timely article from our friends over at Univa examines methods for reigning in costs for managing HPC in the cloud, specifically moving beyond cloud automation to cloud expense management. Three proactive approaches for managing costs in the cloud are provided. Special focus is given to Univa’s Navops Launch which is among the first of a new generation of HPC cloud automation tools that combines multi-cloud provisioning, cloud-service expense management, and tight integrations with Univa Grid Engine, and open-source SLURM workload managers both widely used in HPC centers.

Building the business case for Hybrid HPC Cloud

Over the past two years, we’ve seen a dramatic acceleration in cloud adoption for HPC. Intuitively cloud computing makes sense — it enables organizations to rent rather than buy expensive HPC hardware, deploy solutions faster, reduce capital investments, and focus on core competencies. Software company Univa highlights the reason behind the recent cloud adoption boom among the HPC community, and the benefits of the hybrid HPC cloud.

Democratizing High Performance Computing: HPC Clusters — When you Need Them, How You Need Them and Where You Need Them

This sponsored post from Amazon Web Services’ Bala Thekkedath unpacks how deploying HPC clusters in the cloud gives you the freedom to get started when you want, and with the resources you want.  

Imagine HPC with the Power of the Cloud

Running HPC in the cloud enables organizations to select and deploy an optimal set of services for their unique applications, and to pay only for what they use. This sponsored post from AWS explores how the cloud HPC market is growing at a significant rate and accelerating HPC innovation. “With HPC in the cloud, computational scientists and commercial HPC users can gain rapid access to resources they need without a burdensome procurement process.”

HPC Cloud Drives Innovation & Accelerates Time to Results

HPC applications and workloads have been constrained by limited on-premises infrastructure capacity, high capital expenditures and the constant need for technology refreshes. But there may be an answer: running your HPC workloads in the cloud. “According to the report, hundreds of companies in life sciences, financial services, manufacturing, energy and geo sciences, media and entertainment are solving complex challenges and speeding up time to results using HPC on AWS.”