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Asetek Lands Nine Installations on the Green500

“As seen at installations included on both the Green500 and Top500 lists, Asetek’s distributed liquid cooling architecture enables cluster energy efficiency in addition to sustained and un-throttled cluster performance,” said John Hamill, Vice President of WW Sales and Marketing. “Around the world, data centers are increasingly using Asetek technology for High Performance Computing while reducing energy costs.”

Omni Path Comes to Penguin Computing On-Demand

Today Penguin Computing announced several important achievements of its Penguin Computing On-Demand (POD) HPC cloud service, including a recent 50 percent increase in capacity and plans to double POD’s total capacity in Q1 2017. The upgrade will include new Intel Xeon processors and Intel Omni-Path architecture. “Rapid demand for and growth in our POD business reflects the significant benefits customers are experiencing, particularly since we announced availability of the OCP-compliant Tundra platform on POD late last year,” said Tom Coull, President and CEO, Penguin Computing. “With the Tundra platform, our customers have greater capacity due to faster scaling combined with increased performance and streamlined costs. Tundra on POD also highlights the growth and maturing market role of open computing, with thousands of high-speed, cost-efficient cores available to meet customers’ needs for faster, easier deployment of capacity at a low cost.”

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.”

Penguin Computing Adds Remote Desktop Collaboration to Scyld Cloud Workstation

Today Penguin Computing announced Scyld Cloud Workstation 3.0, a 3D-accelerated remote desktop solution which provides true multi-user remote desktop collaboration for cloud-based Linux and Windows desktops. “Unlike other remote desktop solutions, collaboration via Scyld Cloud Workstation is more like sitting in-person with other engineers because a user can hand off control of their desktop to simplify collaboration on a project,” said Victor Gregorio, Vice President and General Manager, Cloud Services, Penguin Computing. “Scyld Cloud Workstation brings collaboration to life, providing a much more thorough and proficient interaction among researchers and engineers working together on a remote desktop. Ultimately, this allows customers a more efficient means to leverage cloud-based desktop solutions.”

Penguin Computing Rolls Out Magna 1015 OpenPOWER Servers

Based on the “Barreleye” platform design pioneered by Rackspace and promoted by the OpenPOWER Foundation and the Open Compute Project (OCP) Foundation, Penguin Magna 1015 targets memory and I/O intensive workloads, including high density virtualization and data analytics. The Magna 1015 system uses the Open Rack physical infrastructure defined by the OCP Foundation and adopted by the largest hyperscale data centers, providing operational cost savings from the shared power infrastructure and improved serviceability.

Cloud Computing Guide

IT organizations are facing increasing pressure to deliver critical services to their users while their budgets are either reduced or maintained at current levels. New technologies have the potential to deliver industry-changing information to users who need data in real time, but only if the IT infrastructure is designed and implemented to do so. While computing power continues to decline in cost, the management of large data centers, together with the associated costs of running these data centers, increases. The server administration over the life of the computer asset will consume about 75 percent of the total cost.

Penguin Computing Powers Chinook Cluster at University of Alaska Fairbanks

Today Penguin Computing announced that it is delivering an energy-efficient, HPC cluster to the University of Alaska Fairbanks. The new cluster, based on Penguin Computing’s Relion server family was first delivered in April 2016 and has been incrementally expanding throughout the year. The cluster was named Chinook in honor of deceased UAF employee Kevin Engle, who was known for his passion for salmon and Alaska. Engle was a research programmer and ground station manager at UAF’s Geographic Information Network of Alaska.

Penguin Computing adds Intel Xeon Phi Processors to Tundra Supercomputers

Penguin Computing, a provider of high performance, enterprise data center and cloud solutions, announced its transition from pre-production deployments last year of systems based on the Intel Xeon Phi processor to full production for Penguin’s Tundra product family. “We received early access to the Intel Xeon Phi processor through Penguin Computing and its OCP-based Tundra Extreme Scale (ES) Series,” said James Laros, Principal Member of Technical Staff, Sandia National Laboratories. “We are seeing very promising results to date.”

Lustre Powers FrostByte HPC Storage from Penguin Computing

FrostByte is a complete solution that integrates Penguin Computing’s new Scyld FrostByte software with an optimized high-performance storage platform. FrostByte will support multiple open software storage technologies including Lustre, Ceph, GlusterFS and Swift, and will first be available with Intel Enterprise Edition for Lustre. The entry-level FrostByte is a single rack with 500TB of highly available storage that can deliver up to 18GB/s and 500K/s metadata ops/s over Intel Omni-Path, Mellanox EDR InfiniBand or Penguin Arctica 100GbE network solutions. A single FrostByte “Scalable Unit” can deliver up to 15PB and greater than 500GB/s in 5 racks. Multiple Scalable Units can be combined to scale up to 100s of petabytes and 10s of terabytes/sec of aggregate storage bandwidth.

Interview: Cavium to Move ARM Forward for HPC at ISC 2016

“Cavium ThunderX has significant differentiation in the 64-bit ARM market as Cavium is the first ARMv8 vendor to deliver dual socket support with full ARMv8.1 implementation and significant advantage in CPU cores with 48 cores per socket. In addition, ThunderX supports large memory capacity (512GB per socket, 1TB in a 2S system) with excellent memory bandwidth and low memory latency. In addition, ThunderX includes multiple 10 GbE / 40GbE network interfaces delivering excellent IO throughput. These features enable ThunderX to deliver the core performance & scale out capability that the HPC market requires.”