We all love HPC, right? We love college students too; particularly undergraduates that are striving to learn the ins and outs of HPC systems and applications – like in the SC17 Student Cluster …
As we draw nearer to SC17, tensions are rising with each passing day. Sixteen teams of university undergrads are putting the final touches on their clusters and preparing for the grueling test th …
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Next-generation imaging technologies are producing a wealth of rich data to advance Life Sciences research. Artificial intelligence and machine learning can help researchers quickly derive insights from such data. However, many organizations do not have the infrastructures to handle the combination of enormous imaging data volumes and demanding analysis compute requirements.
What’s needed is an infrastructure that supports mixed genomic analysis and image analysis workloads. This paper discusses the new compute and storage demands for Cryogenic Electron Microscopy (CryoEM) and Lattice Light Sheet Microscopy (LLS) image analysis pipelines and the need for an easy to manage data storage foundation that delivers high performance in a reliable, scalable, and adaptable way.
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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