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Video: How Persistent Memory Will Bring an Entirely New Structure to Large Data Computing

“As data proliferation continues to explode, computing architectures are struggling to get the right data to the processor efficiently, both in terms of time and power. But what if the best solution to the problem is not faster data movement, but new architectures that can essentially move the processing instructions into the data? Persistent memory arrays present just such an opportunity. Like any significant change, however, there are challenges and obstacles that must be overcome. Industry veteran Steve Pawlowski will outline a vision for the future of computing and why persistent memory systems have the potential to be more revolutionary than perhaps anyone imagines.”

Speeding Workloads at the Dell EMC HPC Innovation Lab

The Dell EMC HPC Innovation Lab, substantially powered by Intel, has been established to provide customers best practices for configuring and tuning systems and their applications for optimal performance and efficiency through blogs, whitepapers and other resources. “Dell is utilizing the lab’s world-class Infrastructure to characterize performance behavior and to test and validate upcoming technologies.”

Nimbix Expands Cloud Offerings to Enterprises and Developers

“Delivering optimized technology capabilities to different communities is key to a successful public cloud offering”, said Nimbix Chief Technology Officer Leo Reiter. “With this unified approach, Nimbix delivers discrete product capabilities to different audiences while maximizing value to all parties with the underlying power of the JARVICE platform.”

Video: AI – The Next HPC Workload

“From new cloud offerings on AWS and Azure, to Summit and Sierra, the 150+ PF supercomputers being built by the US in 2017, new AI workloads are driving the rapid growth of GPU accelerated HPC systems. For years, HPC simulations have generated ever increasing amounts of big data, a trend further accelerated by GPU computing. With GPU Deep Learning and other AI approaches, a larger amount of big data than ever can now be used to advance scientific discovery.”

DDN and Inspur Sign Agreement for Joint Sales & Marketing

Today DataDirect Networks announced a joint sales and marketing agreement with Inspur, a leading China-based, cloud-computing and total-solution-and-services provider, in which the companies will leverage their core strengths and powerful computing technologies to offer industry-leading high-performance computing solutions to HPC customers worldwide. “DDN is delighted to expand our work with Inspur globally and to build upon the joint success we have achieved in China,” said Larry Jones, DDN’s partner manager for the Inspur relationship. “DDN’s leadership in massively scalable, high-performance storage solutions, combined with Inspur’s global data center and cloud computing solutions, offer customers extremely efficient, world-class infrastructure options.”

IBM Rolls Out All-flash Storage for Cognitive Workloads

“The DS8880 All-Flash family is targeted at users that have experienced poor storage performance due to latency, low server utilization, high energy consumption, low system availability and high operating costs. These same users have been listening, learning and understand the data value proposition of being a cognitive business,” said Ed Walsh, general manager, IBM Storage and Software Defined Infrastructure. “In the coming year we expect an awakening by companies to the opportunity that cognitive applications, and hybrid cloud enablement, bring them in a data driven marketplace.”

Exascale Computing: A Race to the Future of HPC

In this week’s Sponsored Post, Nicolas Dube of Hewlett Packard Enterprise outlines the future of HPC and the role and challenges of exascale computing in this evolution. The HPE approach to exascale is geared to breaking the dependencies that come with outdated protocols. Exascale computing will allow users to process data, run systems, and solve problems at a totally new scale, which will become increasingly important as the world’s problems grow ever larger and more complex.

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.”

Podcast: Engineering Practical Machine Learning Systems

In This Week in Machine Learning podcast, Xavier Amatriain from Quora discusses the process of engineering practical machine learning systems. Amatriainis a former machine learning researcher who went on to lead the recommender systems team at Netflix, and is now the vice president of engineering at Quora, the Q&A site. “What the heck is a multi-arm bandit and how can it help us.”