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BOXX rolls out AMD EPYC Deep Learning Server at SC17

This week at SC17, BOXX Technologies debuted the new GX8-M server, featuring dual AMD EPYC 7000-series processors, eight full-size AMD or NVIDIA graphics cards, and other innovative features designed to accelerate high performance computing applications. “BOXX is taking the lead with deep learning solutions like the GX8-M which enables users to boost high performance computing application performance and accelerate their workflows like never before.”

Advancing the Financial Services Industry Through Machine Learning

As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use. 

An Overview of AI in the HPC Landscape

The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. “It is very important to understand that time-to-model and the accuracy of the resulting model are really the only performance metrics that matter when training because the goal is to quickly develop a model that represents the training data with high accuracy.”

WekaIO Partners with HPE to Develop All-Flash Storage for HPC and AI

Today WekaIO announced a partnership with HPE to deliver integrated flash-based parallel file system capabilities that can significantly accelerate compute-intensive workloads. The WekaIO Matrix software-defined storage solution is validated for deployment within HPE environments – including the HPE Apollo Gen10 System platform that delivers rich capabilities for high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML) use cases.

Revolutionizing Healthcare With Artificial Intelligence

Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.

Supermicro Showcases Volta GPU Systems at GTC Washington DC

This week at GTC DC, Supermicro is showcasing GPU server platforms that support NVIDIA Tesla V100 PCI-E and V100 SXM2 GPUs. “Our high performance computing solutions enable deep learning, engineering and scientific fields to scale out their compute clusters to accelerate their most demanding workloads and achieve fastest time-to-results with maximum performance per watt, per square foot and per dollar.”

NVIDIA Expands Deep Learning Institute

Today NVIDIA announced a broad expansion of its Deep Learning Institute (DLI), which is training tens of thousands of students, developers and data scientists with critical skills needed to apply artificial intelligence. “The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As part of the company’s effort to democratize AI, the Deep Learning Institute is enabling more developers, researchers and data scientists to apply this powerful technology to solve difficult problems.”

Designing HPC, Big Data, & Deep Learning Middleware for Exascale

DK Panda from Ohio State University presented this talk at the HPC Advisory Council Spain Conference. “This talk will focus on challenges in designing HPC, Big Data, and Deep Learning middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models. Features and sample performance numbers from MVAPICH2 libraries will be presented.”

NVIDIA GPUs Power Fujitsu AI Supercomputer at RIKEN in Japan

Fujitsu has posted news that their new AI supercomputer at RIKEN in Japan is already being used for AI research. Called RAIDEN (Riken AIp Deep learning ENvironment), the GPU-accelerated Fujitsu system sports 4 Petaflops of processing power. “The RAIDEN supercomputer is built around Fujitsu PRIMERGY RX 2530 M2 servers with and 24 NVIDIA DGX-1 systems. With 8 NVIDIA Tesla GPUs per chassis, the DGX-1 includes access to today’s most popular deep learning frameworks.”

The Inflection Point of Wattage in HPC, Deep Learning and AI

Magnified in 2017 by machine learning and AI, there is a heightened concern in the HPC community over wattage trends in CPUs, GPUs and emerging neural chips required to meet accelerating computational demands in HPC clusters. In this sponsored post from Asetek, the company examines how high wattage trends in HPC, deep learning and AI might be reaching an inflection point.