Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:

Reader Survey: Is Machine Learning in Your Future?

Will this be the year of artificial intelligence, when the technology comes into its own for mainstream business? There are big pushes for AI in manufacturing, agriculture, healthcare and many other industry sectors. But why now? Please share your insights in our Reader Survey.

AI & Robotics Front and Center at GTC Japan

Robotics and Deep Learning applications were front and center at GTC Japan this week, where 2600 attendees lined up to hear the latest on GPU technologies. The age of AI is here,” said Jen-Hsun Huang, founder and CEO of NVIDIA. “‎GPU deep learning ignited this new wave of computing where software learns and machines reason. […]

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.”

CSIRO Deploys NVIDIA DGX-1 Deep Learning Supercomputers Down Under

Today NVIDIA announced APAC’s first deployment of NVIDIA DGX-1 deep learning supercomputers CSIRO in Australia. “There is a growing interest from research groups to adopt machine learning techniques to support their projects,” said Angus Macoustra, executive manager for Scientific Computing at CSIRO. “CSIRO research projects are already using the DGX-1 systems, and in time, it is expected that machine learning will have applicability across all our areas of research and be used by hundreds of researchers.”

insideHPC Readers: Weigh in on Why AI is Taking Off Now

This may indeed be the year of artificial intelligence, when the technology came into its own for mainstream businesses. “But will other companies understand if AI has value for them? Perhaps a better question is “Why now?” This question centers on both the opportunity and why many companies are scared about missing out.”

Winning Posters on GPU Programming Send UW Students to SC16

Two University of Wyoming graduate students earned a trip to the SC16 conference in November by virtue of winning the poster contest at the recent Rocky Mountain Advanced Computing Consortium (RMACC) High Performance Computing Symposium. “I hope to receive good exposure to the most recent advancements in the field of high-performance computing,” Kommera says.

Supermicro Rolls Out New Servers with Tesla P100 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,” said Charles Liang, President and CEO of Supermicro. “With our latest innovations incorporating the new NVIDIA P100 processors in a performance and density optimized 1U and 4U architectures with NVLink, our customers can accelerate their applications and innovations to address the most complex real world problems.”

GPUs Power New AWS P2 Instances for Science & Engineering in the Cloud

Today Amazon Web Services announced the availability of P2 instances, a new GPU instance type for Amazon Elastic Compute Cloud designed for compute-intensive applications that require massive parallel floating point performance, including artificial intelligence, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and rendering. With up to 16 NVIDIA Tesla K80 GPUs, P2 instances are the most powerful GPU instances available in the cloud.

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.”

Nvidia Releases Cuda 8

Today Nvidia announced the general availability of CUDA 8 toolkit for GPU developers. “A crucial goal for CUDA 8 is to provide support for the powerful new Pascal architecture, the first incarnation of which was launched at GTC 2016: Tesla P100,” said Nvidia’s Mark Harris in a blog post. “One of NVIDIA’s goals is to support CUDA across the entire NVIDIA platform, so CUDA 8 supports all new Pascal GPUs, including Tesla P100, P40, and P4, as well as NVIDIA Titan X, and Pascal-based GeForce, Quadro, and DrivePX GPUs.”