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Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters

The QCT Platform on Demand (QCT POD) combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. “With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.”

Arm HPC User Group Returns to Denver Nov. 18

The Arm HPC team invites you to our 5th Annual Arm HPC User Group (AHUG) session at SC19. The all-day event takes place on Monday, Nov. 18 at the Curtis Hotel in Denver. “We have a full day agenda of strategic partners and end-users from all regions of the world sharing their experiences, best practices, plans, ecosystem advances, and results on Arm-based platforms for HPC applications. The goal of this event is, as always, to candidly share and network among the growing number of users and sites that are deploying Arm for HPC and to highlight the work of the many leaders in this area.”

A Liquid Cooling Petascale Supercomputing Site and GROMACS Workload Optimization Benchmark

Accelerated computing have been viewed as revolutionary breakthrough technologies for AI and HPC workloads. Significant accelerated computing power from GPUs paired with CPUs is the major contributor. Our friends over at Quanta Cloud Technology (QCT) provide QuantaGrid D52G-4U 8 NVLink GPUs servers with a liquid cooling platform successfully adopted by the National Center of High-performance Computing (NCHC) in Taiwan) for their Taiwania-II project. Rank 23rd on the Top500 as of June 2019.

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.

Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

HPE Hybrid HPC Early Access Program for your Hybrid HPC Journey

This timely article from our friends over at HPE provides the following key takeaways: HPE Hybrid HPC provides you choice to meet demanding workload needs; HPE is committed to your success by offering their Early Access Program (EAP); Take advantage of HPE’s strategically assembled partner ecosystem to maximize success.

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.

Heterogeneous Computing: Long Live the CPU

In this guest article, our friends at Intel discuss how the company is investing in heterogeneous computing. Intel recently spoke about supporting heterogeneous computing with the catch phrase “One Size Does Not Fit All” in talking about software and Intel’s commitment to help programmers with oneAPI.

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.

HPC in the Cloud Offers Flexible, Scalable Solutions for Enterprises and Research Institutions

In this guest article, our friends at Intel discuss how HPC as a Service (HPCaaS) reduces barriers to HPC and offers a cost-effective extension to on-premise solutions. High performance data analytics (HPDA), simulation and modeling, and artificial intelligence (AI) enable significant benefits like quicker business insights, the ability to design and bring products to market faster, or real-time monitoring of financial transactions for fraud.