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.”
In this podcast, Jason Stowe from Cycle Computing provides an update on the world of HPC in the Cloud. After that, he describes how the company is augmenting its software capabilities so that more users can take advantage of HPC for their toughest computing challenges. “Our CycleCloud V6 further optimizes what is already unique about its predecessor, bringing unmatched scalability, provisioning, and data management in a secure process. We are extremely pleased to bring V6 to market.”
“Real-time-analytics and Big Data environments are extremely demanding and the network is critical in linking together the extra high performance IBM POWER based servers and Tencent Cloud’s massive amounts of data,”said Amir Prescher, Sr. Vice President, Business Development, at Mellanox Technologies. “Tencent Cloud developed an optimized hardware/software platform to achieve new computing records, showing that Mellanox’s 100Gb/s Ethernet technology can deliver total infrastructure efficiency and improves application performance, making them ideal for Big Data applications.”
This version of COMPSs, available from today, updates the result of the team’s work in the last years on the provision of a set of tools that helps developers to program and execute their applications efficiently on distributed computational infrastructures such as clusters, grids and clouds. COMPSs is a task based programming model known for notably improving the performance of large scale applications by automatically parallelizing their execution.
Today FlyElephant announced a collaboration with HPC HUB, a developer of complex software and hardware solutions in high performance computing. Now entering its second year, FlyElephant is a platform for data scientists, engineers and researchers that accelerates their work and improves their business by automating data science and engineering simulation tasks.
Today BIOS IT announced plans for their exhibit at SC16 in Salt Lake City. BIOS IT is will be showcasing the latest HPC solutions and services, including their converged cloud platform in partnership with vScaler Ltd. “vScaler gives our clients the ability to deploy and manage HPC environments with on demand parallel file system creation within their own datacenters and when demand dictates, off-premise as well,” Ian Mellett, General Manager at BIOS IT comments.
“CycleCloud has made an impact on a host of use cases – from our recently announced NASA Sub-Saharan carbon-emissions project to needs in the financial sector, manufacturing and life sciences. CycleCloud has saved countless hours overcoming the challenges typically associated with Cloud HPC and brought in real ROI,” said Jason Stowe, CEO, Cycle Computing. “Our CycleCloud V6 further optimizes what is already unique about its predecessor, bringing unmatched scalability, provisioning, and data management in a secure process. We are extremely pleased to bring V6 to market.”
Attendees of SC16 who are interested in open source data management will have plenty of opportunities to learn about the integrated Rule-Oriented Data System (iRODS) and the new iRODS 4.2, which will be released just in time for the conference.
“The results of DDN’s annual HPC Trends Survey reflect very accurately what HPC end users tell us and what we are seeing in their data center infrastructures. The use of private and hybrid clouds continues to grow although most HPC organizations are not storing as large a percentage of their data in public clouds as they anticipated even a year ago. Performance remains the top challenge, especially when handling mixed I/O workloads and resolving I/O bottlenecks.”
“When we started the marketplace 3 years ago the service we offered was all manual,” explained Wolfgang Gentzsch who founded UberCloud together with Burak Yenier in 2012. “But already then we were developing our HPC software container technology based on Docker which today provides a fully automated software packaging and porting environment and allows users to access their engineering workflow within seconds, at their fingertips, in any cloud. They don’t have to learn how to handle a new cloud user platform, because handling a software container provides the same look and feel identical to the engineer’s desktop.”