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10 Questions to Ask When Starting With AI – Part 2

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” 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 proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

10 Questions to Ask When Starting With AI

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” 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  proper team to execute the project. Chasing the hot technology trend without having a proper strategy often  leads companies down the path of failure.

Webinar: Transform Your Data Center with Our IPU-POD Scale-out Technology

Don’t miss Graphcore’s upcoming webinar “Transform Your Data Center with Our IPU-POD Scale-out Technology” on January 27, 2021 at 16:00 GMT, 8:00 PT, 11:00 ET. IPU-POD is Graphcore’s unique scale-out solution for high-performance machine intelligence compute, ideal for experimentation to prototype to production systems from IPU-M2000 with 4 IPUs up to supercomputing scale.

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.

The Graphcore Second Generation IPU

Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper explores the new platform and assesses its strengths and weaknesses compared to the growing cadre of potential competitors.

Modern HPC and Big Data Design Strategies for Data Centers – Part 3

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions available for organizations and enterprise customers.

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.

Modern HPC and Big Data Design Strategies for Data Centers – Part 2

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions available for organizations and enterprise customers.

Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

QPM Address Medical Life Sciences Challenges

In this sponsored post from our friends over at Quanta Cloud Technology (QCT), review how QCT brings out the concept called QCT Platform on Demand (QCT POD), which is a converged framework with a flexible infrastructure for customers running different workloads. Under this concept, QCT develops the QCT POD for Medical (QPM) that is an on-premise rack-level system with common building blocks designed to provide greater flexibility and scalability, aimed to meet different medical workload demands using HPC and DL technologies, including Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Medical Image Recognition.