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NVLink Speeds Deep Learning on New OpenPOWER Servers

Over at the IBM System Blog, Sumit Gupta writes that the company’s new IBM Power System 822LC with Nvidia Tesla P100 GPUs is already demonstrating impressive performance on Deep Learning training applications. “A single S822LC for HPC with four NVIDIA Tesla P100 GPUs is 2.2 times faster reaching 50 percent accuracy in AlexNet than a server with four NVIDIA Tesla M40 GPUs!”

Power8 Systems with NVLink Come to Nimbix HPC Cloud

Today’s emerging workloads like machine and deep learning, artificial intelligence, accelerated databases, and high performance data analytics require incredible speed through accelerated computing,” said Sumit Gupta, Vice President, High Performance Computing and Data Analytics, IBM. “Delivering the capabilities of the new IBM POWER8 with NVIDIA NVLink-based system through the Nimbix cloud expands the horizons of HPC and brings a highly differentiated accelerated computing platform to a whole new set of users.”

E4 Computer Engineering Rolls Out GPU-accelerated OpenPOWER server

“The POWER8 with NVIDIA NVLink processor enables incredible speed of data transfer between CPUs and GPUs ideal for emerging workloads like AI, machine learning and advanced analytics”, said Rick Newman, Director of OpenPOWER Strategy & Market Development Europe. “The open and collaborative spirit of innovation within the OpenPOWER Foundation enables companies like E4 to leverage new technology and build cutting edge solutions to help clients grappling with the massive amounts of data in today’s technology environment.”

New OpenPOWER Servers Accelerate Deep Learning with NVLink

Today IBM unveiled a series of new servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community that deliver higher levels of performance and greater computing efficiency than available on any x86-based server. “Collaboratively developed with some of the world’s leading technology companies, the new Power Systems are uniquely designed to propel artificial intelligence, deep learning, high performance data analytics and other compute-heavy workloads, which can help businesses and cloud service providers save money on data center costs.”

Video: The Nvidia Tesla Accelerated Computing Platform

Axel Koehler from Nvidia presented this talk at the HPC Advisory Council Switzerland Conference. “Accelerated computing is transforming the data center that delivers unprecedented throughput, enabling new discoveries and services for end users. This talk will give an overview about the NVIDIA Tesla accelerated computing platform including the latest developments in hardware and software. In addition it will be shown how deep learning on GPUs is changing how we use computers to understand data.”

Advancing HPC with Collaboration & Co-design

In this special guest feature from Scientific Computing World, Tom Wilkie reports on two US initiatives for future supercomputers, announced at the ISC in Frankfurt in July.

Steve Oberlin on How NVLink will Power Coral Supercomputers

NVlink will be the backbone of 150 Petaflop Coral supercomputers coming to ORNL and LLNL. As the world’s first high-speed GPU interconnect, NVLink will let data move between GPUs and CPUs 5-12 times faster than possible today.

Test Bed Systems Pave the Way for 150 Petaflop Summit Supercomputer

Oak Ridges is preparing for their upcoming Summit supercomputer with two modest test bed systems using Power8 processors. “Summit will deliver more than five times the computational performance of Titan’s 18,688 nodes, using only approximately 3,400 nodes when it arrives in 2017.”

Slidecast: Nvidia/IBM to Build Two Coral 100+ Petaflop Supercomputers in 2017

In this slidecast, Sumit Gupta from Nvidia describes the company’s big win with IBM for two DOE supercomputers for deployment in 2017. The two machines will feature IBM POWER9 processors coupled with Nvidia’s future Volta GPU technology. NVLink will be a critical piece of the architecture as well, along with a system interconnect powered by Mellanox.

Nvidia to Offer Full CUDA Support for OpenPOWER in 4Q2014

“Nvidia is adding CUDA software support for GPUs with IBM POWER CPUs. IBM and Nvidia are demonstrating the first GPU accelerator framework for Java, showing an order of magnitude performance improvement on Hadoop Analytics applications compared to a CPU-only implementation.”