Today at Nvidia’s annual spring GPU technology conference, held virtually once more due to the ongoing pandemic, the company announced its first ever Arm-based CPU, called Grace in honor of the …
Nvidia today announced its next generation data processing unit (DPU) – BlueField-3 – adding more substance to its evolving concept of the DPU as a full-fledged partner to CPUs and GPUs in de …
At GTC 2021, Nvidia has announced an upgraded iteration of its DGX SuperPods, calling the new offering “the first cloud-native, multi-tenant supercomputer.” The newly announced SuperPods come …
Join HPCwire right here on Monday, April 12, at 8:30 am PT to see the Nvidia GTC21 keynote from Nvidia’s CEO, Jensen Huang, livestreamed in its entirety. Hosted by HPCwire, you can click to joi …
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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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