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Storage as a Service in AWS

In this sponsored post, Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO, explores “storage as a service” in using AWS, and how this is made possible with Weka’s Limitless Data Platform. And you can plan your cluster on Amazon EC2 with Weka’s self-service tools that help you configure the most cost-efficient Amazon EC2 instance based on the storage and performance requirements of your application.

Workload Portability Enabled by a Modern Storage Platform

In this sponsored post, Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO, explores what is meant by “data portability,” and why it’s important. Looking at a customer pipeline, the customer context could be a software defined car, any IoT edge point, a drone, a smart home, a 5G tower, etc. In essence, we’re describing an AI pipeline which runs over an edge, runs over a core, and runs over a cloud. Therefore we have three high-level components for this pipeline.

10 Questions to Ask When Starting With AI

In this insideHPC Guide, our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the  […]

Things to Know When Assessing, Piloting, and Deploying GPUs

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new  environment’s required components, implementing a pilot program to learn about the system’s future  performance, and considering eventual scaling to production levels.

HPC-Scale Data Management for the Enterprise That’s Easier and More Cost-Efficient than NAS

In this sponsored post, Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO, discusses how WekaFS is designed to enable organizations to maximize the full value of their high-powered IT investments – compute, networking and storage. The latest evolution of Weka technology includes new features designed to deliver ease-of-management and performance, at any scale, with a unified global namespace from flash to object storage to the cloud.

WekaIO picks up steam in the HPC Market

Today WekaIO announced it closed its 2019 fiscal year with record velocity in revenues. The company grew revenue by 600% compared to 2018 with growth fueled by increasing adoption of NVMe-native storage systems to enable I/O-intensive applications in Artificial Intelligence (AI), life sciences, and financial analysis. “We are the only tier-1, enterprise-grade storage solution capable of delivering epic performance at any scale on premises and on the public cloud, and we will continue to fuel our momentum by hiring for key positions and identifying strategic partnerships.”

Stanford HPC Conference Posts Preliminary Agenda

The Stanford HPC Conference has posted it Preliminary Agenda. The two-day event takes place Feb. 20-21 at Stanford University in California. “Join the Stanford High Performance Computing Center, HPC Advisory Council, its members and experts from all over the world for two days of invited and contributed talks and immersive tutorials on topics of great societal impact and responsibility! February’s open forum brings industry luminaries and leading subject matter experts together to examine emerging and major domains and share in-depth insights on AI, Data Sciences, HPC, Machine Learning and more.”

WekaIO Partners with HPE to Develop All-Flash Storage for HPC and AI

Today WekaIO announced a partnership with HPE to deliver integrated flash-based parallel file system capabilities that can significantly accelerate compute-intensive workloads. The WekaIO Matrix software-defined storage solution is validated for deployment within HPE environments – including the HPE Apollo Gen10 System platform that delivers rich capabilities for high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML) use cases.