Over at the Google Blog, Alex Barrett writes that an MIT math professor recently broke the record for the largest-ever Compute Engine cluster, with 220,000 cores on Preemptible VMs. According to Google, this is the largest known HPC cluster to ever run in the public cloud.
“Since the NICE acquisition by Amazon Web Services (AWS), many customers asked us how to make the HPC experience in the Cloud as simple as the one they have on premises, while still leveraging the elasticity and flexibility that it provides. While we stay committed to delivering new and improved capabilities for on-premises deployments, like the new support for Citrix XenDesktop and the new HTML5 file transfer widgets, EnginFrame 2017 is our first step into making HPC easier to deploy and use in AWS, even without an in-depth knowledge of its APIs and rich service offering.”
Tokyo-based Startup XTREME DESIGN recently announced it has raised $700K of funding in its pre-series A round. Launched in early 2015, the Startup’s XTREME DNA software automates the process of configuring, deploying, and monitoring virtual supercomputers on public clouds. To learn more, we caught up with the company’s founder, Naoki Shibata.
“The Amazon Web Services High Performance Computing (HPC) team is looking for Software Development Engineers (SDEs) to help drive the development of new features, functionality, and capabilities for AWS Batch. AWS Batch is developed by a newly formed team building a core set of offerings that allow our customers to plan, schedule, and execute batch computing workloads across the full range of AWS compute services and capabilities.”
In this fascinating talk, Cockcroft describes how hardware networking has reshaped how services like Machine Learning are being developed rapidly in the cloud with AWS Lamda. “We’ve seen the same service oriented architecture principles track advancements in technology from the coarse grain services of SOA a decade ago, through microservices that are usually scoped to a more fine grain single area of responsibility, and now functions as a service, serverless architectures where each function is a separately deployed and invoked unit.”
“Our collaboration with Cycle Computing enables the ANSYS Enterprise Cloud to meet the elastic capacity and security requirements of enterprise customers,” said Ray Milhem, vice president, Enterprise Solutions and Cloud, ANSYS. “CycleCloud has run some of the largest Cloud Big Compute and Cloud HPC projects in the world, and we are excited to bring their associated, proven software capability to our global customers with the ANSYS Enterprise Cloud.”
“CUDA C++ is just one of the ways you can create massively parallel applications with CUDA. It lets you use the powerful C++ programming language to develop high performance algorithms accelerated by thousands of parallel threads running on GPUs. Many developers have accelerated their computation- and bandwidth-hungry applications this way, including the libraries and frameworks that underpin the ongoing revolution in artificial intelligence known as Deep Learning.”
Are you shopping for Public Cloud services? A new Public Cloud Services Comparison site gives a service & feature level mapping between the 3 major public clouds: Amazon Web Service, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Public Cloud Services Comparison is a handy reference manual to help anyone to quickly learn the alternate features & services between clouds.
“As financial institutions acknowledge the importance of data as an asset and as they continue to deploy sophisticated analytics to realize the benefit of that asset, we will begin to see some achieve competitive advantages in this fast-paced marketplace. Of course, these organizations also face continued regulatory scrutiny and disruptive changes to technology that can pose challenges,” said Michael Hay, Vice President and Chief Engineer at Hitachi Data Systems. “Together with our partner Maxeler Technologies, Hitachi Data Systems can help our customers address business demands, stay compliant and transform data into information, insight and opportunities to win.”
Amazon Web Services chief evangelist Jeff Barr announced in a recent blog post that the company was adding Xilinx FPGAs to its Amazon Elastic Compute Cloud (Amazon EC2). The addition of this new hardware will allow users to create accelerated FPGA applications, but AWS will also let users sell these applications on the AWS Marketplace. “We are giving you the ability to design your own logic, simulate and verify it using cloud-based tools, and then get it to market in a matter of days,” said Barr.