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HPC on Wall Street
How FPGAs Accelerate Financial Services Workloads
While FSI companies are unlikely, for competitive reasons, to disclose their FPGA strategies, James Reinders offers insights into the case for FPGAs as accelerators for FSI by discussing performa …
Update from Gregory Kurtzer on Singularity’s Push into FS and the Enterprise
Container technology is hardly new but it has undergone rapid evolution in the HPC space in recent years to accommodate traditional science workloads and HPC systems requirements. While Docker co …
At HPC on Wall Street: AI-as-a-Service Accelerates AI Journeys
AIaaS – artificial intelligence-as-a-service – is the technology discipline that eases enterprise entry into the mysteries of the AI journey while lowering the financial risk. It’s already …
HPC on Wall Street: A Conference on Advanced Technology Strategies in the Financial Services Industry
September 6, 2018
Few industries are more avid for low latency, compute power and high performance data analytics (HPDA) than the financial services sector. The investment banks, Read more…
Weathering the Next ‘Great’ Storm in the Market
September 1, 2018
This is not an article about the joys and wonders of machine learning or big data. Instead, this article is about a pernicious, unsolved problem in investment f Read more…
Report: Financial Services Sector in $14B Analytics Binge
September 1, 2018
The phrase “big data” has come to mean different things to different people, morphing from the huge data volumes too big for traditional databases to handle Read more…
Leading Solution Providers
Whitepaper
A Picture is Worth a Thousand Terabytes: Image Generators in Life Sciences
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.
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Sponsored by Panasas
Webinar
The Convergence of HPC and AI
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.
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Sponsored by Bright Computing
SpotlightON
Popular AI Use Cases
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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Sponsored by NetApp
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