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GigaSpaces Simplifies Artificial Intelligence Development with Intel BigDL

“BigDL’s efficient large-scale distributed deep learning framework, built on Apache Spark, expands the accessibility of deep learning to a broader range of big data users and data scientists,” said Michael Greene, Vice President, Software and Services Group, General Manager, System Technologies and Optimization, Intel Corporation. “The integration with GigaSpaces’ in-memory insight platform, InsightEdge, unifies fast-data analytics, artificial intelligence, and real-time applications in one simplified, affordable, and efficient analytics stack.”

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.

Choosing the Right In-Memory Computing Solution

This white paper reviews why IMC makes sense for today’s fast-data and big-data applications, dispels common myths about IMC, and clarifies the distinctions among IMC product categories to make the process of choosing the right IMC solution for a specific use case much easier. Download now to learn more.

insideHPC Research Report on In-Memory Computing

To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. A scale-up design that allows multiple cores to share a large global pool of memory and a scale-out design design that distributes data sets across the memory on separate host systems in a computing cluster. To learn more about In-Memory computing download this guide from IHPC and SGI.