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Red Hat Teams with NVIDIA to Accelerate Machine Learning in the Cloud

Today Red Hat announced it has deepened its alliance with NVIDIA to accelerate the enterprise adoption of AI, machine learning and data analytics workloads in production environments. To move thins along, Red Hat is launching an early access program for prospective customers. “High-performance technologies are moving at a brisk rate into enterprise data centers to accelerate product development and business operations – including financial services, ERP and sales analysis, fraud detection and cybersecurity, and machine learning-AI,” said Steve Conway, senior vice president of research, Hyperion Research. “The hybrid cloud solutions from Red Hat and NVIDIA are designed to make accelerated computing use easier for enterprises on-premise and in the cloud.”

Video: DDN Accelerates Ai, Analytics, and Deep Learning at GTC

In this video from the 2019 GPU Technology Conference, James Coomer from DDN describes the company’s high-speed storage solutions for Ai, Machine Learning, and HPC. “This week at GTC, DDN is showcasing its high speed storage solutions, including its A³I architecture and new customer use cases in autonomous driving, life sciences, healthcare, retail, and financial services. DDN next generation of A³I reference architectures include NVIDIA’s DGX POD, DGX-2, and the DDN’s AI400 parallel storage appliance.”

Lenovo HPC Clusters come to the Nimbix Cloud

Today HPC cloud provider Nimbix announced a new strategic partnership with Lenovo Data Center Group (DCG). “Lenovo DCG and Nimbix have teamed up to deliver flexible, powerful solutions based on Lenovo HPC clusters and the Nimbix Cloud. By bringing together Lenovo’s supercomputing expertise with JARVICE, the purpose-built, container-based, bare metal HPC Cloud platform from Nimbix, customers can tailor their hardware and software resources to meet their business requirements, no matter how demanding.”

Red Hat Powers NVIDIA DGX-1 for Ai Workloads

Today Red Hat announced it is collaborating with NVIDIA to bring a new wave of open innovation around emerging workloads like artificial intelligence, deep learning and data science to enterprise datacenters around the world. “Red Hat Enterprise Linux’s enablement of NVIDIA GPUs on our Sierra supercomputer provides commonality across our systems, greatly facilitating our users’ ability to exploit the world’s third fastest computer,” said Bronis Supinski, CTO of Livermore Computing.

Using Ai to detect Gravitational Waves with the Blue Waters Supercomputer

NASA researchers are using AI technologies to detect gravitational waves. The work is described in a new article in Physics Review D this month. “This article shows that we can automatically detect and group together noise anomalies in data from the LIGO detectors by using artificial intelligence algorithms based on neural networks that were already pre-trained to classify images of real-world objects,” said research scientist, Eliu Huerta.

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.”

Exxact Corporation offers NVIDIA DGX Station and DGX-1 for Deep Learning

Today Exxact Corporation announced that it will offer the new NVIDIA DGX Station and DGX-1 systems featuring the NVIDIA Tesla V100 data center GPUs based on the NVIDIA Volta architecture. “NVIDIA’s DGX portfolio is paving the way for a new era of computing,” said Jason Chen, Vice President of Exxact Corporation. “The performance of the new DGX Station and DGX-1 systems for AI and advanced analytics is unmatched, providing data scientists a complete hardware and software package for compute-intensive AI exploration.”

Deep Learning on the SaturnV Cluster

“The basic idea of deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets. NVIDIA has invested in SaturnV, a large GPU-accelerated cluster, (#28 on the November 2016 Top500 list) to support internal machine learning projects. After an introduction to deep learning on GPUs, we will address a selection of open questions programmers and users may face when using deep learning for their work on these clusters.”

Nvidia to Power Fujitsu’s New Deep Learning System at RIKEN

Today Fujitsu announced that it has received RIKEN’s order for the “Deep learning system,” one of the largest supercomputers in Japan specializing in AI research. “NVIDIA DGX-1, the world’s first all-in-one AI supercomputer, is designed to meet the enormous computational needs of AI researchers,” said Jim McHugh, VP & GM at Nvidia. “Powered by 24 DGX-1s, the RIKEN Center for Advanced Intelligence Project’s system will be the most powerful DGX-1 customer installation in the world. Its breakthrough performance will dramatically speed up deep learning research in Japan, and become a platform for solving complex problems in healthcare, manufacturing and public safety.”

NYU Advances Robotics with Nvidia DGX-1 Deep Learning Supercomputer

In this video, NYU researchers describe their plans to advance deep learning with their new Nvidia DGX-1 AI supercomputer. “The DGX-1 is going to be used in just about every research project we have here,” said Yann LeCun, founding director of the NYU Center for Data Science and a pioneer in the field of AI. “The students here can’t wait to get their hands on it.”