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Considerations for Applications to Transition to a Cloud

This is the third entry in an insideHPC series that explores the HPC transition to the cloud, and what your business needs to know about this evolution. This series, compiled in a complete Guide, covers cloud computing for HPC, considerations for applications to transition to the cloud, IaaS components, OpenStack fundamentals and more.

Riding the Wave of Machine Learning and Deep Learning

Artificial intelligence (AI) and machine learning — decades-old technologies that are now electrifying the computing industry — for all intents and purposes, seem to be in the process of transforming corporate America. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

The HPC Transition to the Cloud

This is the first entry in an insideHPC series that explores the HPC transition to the cloud, and what your business needs to know about this evolution. Compiled in a complete Guide, we cover cloud computing, industry examples, IaaS components, OpenStack fundamentals, and more.

What Does it Take to Get Started with AI?

We’ll start by providing a handy five-step enterprise AI strategy designed to ensure your early AI deployment projects are a success. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Moving Toward the Cloud & Seamless HPC

This is the fifth and final entry in an insideHPC series that explores the HPC transition to the cloud and how this move can help create seamless HPC. This series, compiled in a complete Guide, covers cloud computing for HPC, why the OS is important, OpenStack fundamentals and more.

Drilling Down into Machine Learning and Deep Learning

Artificial intelligence and machine learning are rising in popularity as the needs of big data call for systems that exceed human capabilities. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Why the OS is So Important when Running HPC Applications

This is the fourth entry in an insideHPC series that explores the HPC transition to the cloud, and what your business needs to know about this evolution. This series, compiled in a complete Guide available, covers cloud computing for HPC, why the OS is important when running HPC applications, OpenStack fundamentals and more.

Why IMC is Right for Today’s Fast-Data and Big-Data Applications

Many more companies are turning to in-memory computing (IMC) as they struggle to analyze and process increasingly large amounts of data. That said, it’s often hard to make sense of the growing world of IMC products and solutions. A recent white paper from GridGain aims to help businesses decide which solution best matches their specific needs.

Cloud Computing Continues to Influence HPC

Cloud technologies are influencing HPC just as it is the rest of enterprise IT. This is the second entry in an insideHPC series that explores the HPC transition to the cloud, and what your business needs to know about this evolution. This series, compiled in a complete Guide available, covers cloud computing for HPC, industry examples, IaaS components, OpenStack fundamentals and more.

In Memory Computing Speeds Results

In-Memory Computing can accelerate traditional applications by using a memory first design. Applicable to a wide range of domains, In-Memory Computing and In-Memory Data Grids take advantage of the latest trends in computer systems technology. “In-memory computing is designed to address some of the most critical and real-time task requirements today. This include real-time fraud detection, biometrics and border security and financial risk analytics. All of these use cases require very low latency access to data from very large amounts of data, which results in faster and more accurate decisions.”