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Nvidia’s Bill Dally to Keynote HiPINEB 2017 Exascale Workshop

Nvidia’s Bill Dally will keynote HiPINEB 2017 – the 3rd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era. The event takes place Feb. 5, 2017 in Austin, Texas and will be held in conjunction with the IEEE HPCA Conference.

One Stop Systems Introduces a New Line of GPU Accelerated Servers for Deep Learning at SC16

Today One Stop Systems announced two new deep learning appliances that leverage the NVIDIA NVLink. One Stop Systems’ deep learning appliances are designed for augmented performance in machine learning and deep learning applications. These appliances provide the ultimate power for performing deep learning training and exploring neural networks,” said Steve Cooper, OSS CEO. “The OSS-PASCAL4 and OSS-PASCAL8 […]

Ace Computers Adds NVIDIA Tesla P100 to HPC Clusters

Today Ace Computers from Illinois announced that the company is integrating the new Nvidia Tesla P100 accelerators into select HPC clusters. “Nvidia has been a trusted partner for many years,” said Ace Computers CEO John Samborski. “We are especially enthusiastic about this P100 accelerator and the transformative effect it promises to have on the clusters we are building for enterprises, academic institutions and research facilities.”

Penguin Computing Adds Pascal GPUs to Open Compute Tundra Systems

“Pairing Tundra Relion X1904GT with our Tundra Relion 1930g, we now have a complete deep learning solution in Open Compute form factor that covers both training and inference requirements,” said William Wu, Director of Product Management at Penguin Computing. “With the ever evolving deep learning market, the X1904GT with its flexible PCI-E topologies eclipses the cookie cutter approach, providing a solution optimized for customers’ respective applications. Our collaboration with NVIDIA is combating the perennial need to overcome scaling challenges for deep learning and HPC.”

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.