The HPC User Forum meeting taking place virtually this week (May 11-13) kicked off with Hyperion Research’s market update, covering the 2020 period. Although the HPC server market had been faci …
In conjunction with its virtual Think event, IBM today introduced an enhanced Qiskit Runtime Software for quantum computing, which it says demonstrated 120x speedup in simulating molecules. Qiski …
TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base clock of 2.0GHz – implemented in HP …
In a rather remarkable way, and despite the frequent hype, the behind-the-scenes work of developing quantum computing has dramatically accelerated in the past few years. DOE, NSF, academia and in …
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In this age of AI and DL, medical researchers are focusing on real time health data capture, precise data analysis, as well as machine assisted analysis. Due to the trend of increasing data volumes, a scalable storage and data management system is more important than ever. Time and cost efficiency of resources are also critical issues when addressing complex tasks. Modernizing the infrastructure of servers, racks, storage, and networking is key to realizing medical innovation. The QPM (QCT POD for Medical), a Platform on Demand (POD) solution, provides the infrastructure and data management needed to meet the processing and storage requirements of Next Generation Sequencing (NGS) and DNA sequencing.
The recently introduced HPE Apollo 80 from Hewlett Packard Enterprise is a new addition to the arsenal of high-performance computing (HPC) systems tools that an organization can opt for when there are memory-bound and bandwidth-sensitive workloads. The adoption of the Apollo 80 is driven by the fact that many such applications can run dramatically faster on the system and this performance boost is accessible with lightweight porting and minimal tuning. Download this white paper to learn how organizations that are running memory bandwidth-bound applications can use the system to accelerate those workloads with a purpose-built CPU that is accessible to existing applications.
In this webinar, Martijn de Vries, CTO at Bright Computing and Robert Stober, Director of Product Management at Bright Computing, discuss the convergence of HPC and AI in the context of current industry trends and practices being used by organizations. They will discuss and demonstrate the convergence of HPC and AI on a shared infrastructure using Bright auto-scaler to enable efficient use of compute resources based on workload demand and policies, and also cover how to extend HPC/A.I. infrastructure to edge locations. Don’t miss out on this opportunity to gain valuable insight into innovative ways HPC and AI are being used together today.
In this SpotlightON we take a look at the fast-expanding world of AI use cases. In some sense it’s harder to identify what won’t be a potential use case for AI. Today, finance, internet commerce, healthcare, energy discovery and management, and IoT applications are all hot beds of AI development and deployment. Many more will follow. Learn how your work day and business may benefit from these experiences.
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