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insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning

AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.

Intel Processors for Machine Learning

Machine Learning is a hot topic for many industries and is showing tremendous promise to change how we use systems. From design and manufacturing to searching for cures for diseases, machine learning can be a great disrupter, when implemented to take advantage of the latest processors.

OpenPOWER Developer Congress Event to Focus on Machine Learning

Today IBM announced that the first annual OpenPOWER Foundation Developer Congress will take place May 22-25 in San Francisco. With a focus on Machine Learning, the conference will focus on continuing to foster the collaboration within the foundation to satisfy the performance demands of today’s computing market.

Slidecast: ARM Steps Up to Machine Learning

In this slidecast, Jem Davies (VP Engineering and ARM Fellow) gives a brief introduction to Machine Learning and explains how it is used in devices such as smartphones, autos, and drones. “I do think that machine learning altogether is probably going to be one of the biggest shifts in computing that we’ll see in quite a few years. I’m reluctant to put a number on it like — the biggest thing in 25 years or whatever,” said Jem Davies in a recent investor call. “But this is going to be big. It is going to affect all of us. It affects quite a lot of ARM, in fact.”

Intel DAAL Accelerates Data Analytics and Machine Learning

Intel DAAL is a high-performance library specifically optimized for big data analysis on the latest Intel platforms, including Intel Xeon®, and Intel Xeon Phi™. It provides the algorithmic building blocks for all stages in data analysis in offline, batch, streaming, and distributed processing environments. It was designed for efficient use over all the popular data platforms and APIs in use today, including MPI, Hadoop, Spark, R, MATLAB, Python, C++, and Java.

IBM Machine Learning Platform Comes to the Private Cloud

“Machine Learning and deep learning represent new frontiers in analytics. These technologies will be foundational to automating insight at the scale of the world’s critical systems and cloud services,” said Rob Thomas, General Manager, IBM Analytics. “IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides. As clients see business returns on private cloud, they will expand for hybrid and public cloud implementations.”

Defining AI, Machine Learning, and Deep Learning

“In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We also present the results of a recent insideBIGDATA survey to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains.”

In-Memory Data Grids

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Download this guide to learn more.

Mellanox Ethernet Accelerates Baidu Machine Learning

Today Mellanox announced that Spectrum Ethernet switches and ConnectX-4 100Gb/s Ethernet adapters have been selected by Baidu, the leading Chinese language Internet search provider, for Baidu’s Machine Learning platforms. The need for higher data speed and most efficient data movement placed Spectrum and RDMA-enabled ConnectX-4 adapters as key components to enable world leading machine learning […]

HDR InfiniBand Technology Reshapes the World of High-Performance and Machine Learning Platforms

“The recent announcement of HDR InfiniBand included the three required network elements to achieve full end-to-end implementation of the new technology: ConnectX-6 host channel adapters, Quantum switches and the LinkX family of 200Gb/s cables. The newest generations of InfiniBand bring the game changing capabilities of In-Network Computing and In-Network Memory to further enhance the new paradigm of Data-Centric data centers – for High-Performance Computing, Machine Learning, Cloud, Web2.0, Big Data, Financial Services and more – dramatically increasing network scalability and introducing new accelerations for storage platforms and data center security.”