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Take our AI & HPC Survey to Win an Amazon Echo Show Device

AI and Machine Learning have been called the Next Big Thing in High Performance Computing, but what kinds of results are your peers already getting right now? There is one way to find out–by taking our HPC & AI Survey. “We invite you to take our insideHPC Survey on the intersection HPC & AI. In return, we’ll send you a free report with the results and enter your name in a drawing to win one of two Echo Show devices with Alexa technology. The Echo Show is a voice-activated smart screen device that Amazon unveiled back in 2017.”

Google Cloud TPU Machine Learning Accelerators now in Beta

John Barrus writes that Cloud TPUs are available in beta on Google Cloud Platform to help machine learning experts train and run their ML models more quickly. “Cloud TPUs are a family of Google-designed hardware accelerators that are optimized to speed up and scale up specific ML workloads programmed with TensorFlow. Built with four custom ASICs, each Cloud TPU packs up to 180 teraflops of floating-point performance and 64 GB of high-bandwidth memory onto a single board.

Inside SATURNV – Insights from NVIDIA’s Deep Learning Supercomputer

Phil Rogers from NVIDIA gave this talk at SC17. “Like its namesake, In this talk, we describe the architecture of SATURNV, and how we use it every day at NVIDIA to run our deep learning workloads for both production and research use cases. We explore how the NVIDIA GPU Cloud software is used to manage and schedule work on SATURNV, and how it gives us the agility to rapidly respond to business-critical projects. We also present some of the results of our research in operating this unique GPU-accelerated data center.”

Bright Computing Release 8.1 adds new features for Deep Learning, Kubernetes, and Ceph

Today Bright Computing released version 8.1 of the Bright product portfolio with new capabilities for cluster workload accounting, cloud bursting, OpenStack private clouds, deep learning, AMD accelerators, Kubernetes, Ceph, and a new lightweight daemon for monitoring VMs and non-Bright clustered nodes. “The response to our last major release, 8.0, has been tremendous,” said Martijn de Vries, Chief Technology Officer of Bright Computing. “Version 8.1 adds many new features that our customers have asked for, such as better insight into cluster utilization and performance, cloud bursting, and more flexibility with machine learning package deployment.”

Video: Inside Volta GPUs

Stephen Jones from NVIDIA gave this talk at SC17. “The NVIDIA Volta architecture powers the world’s most advanced data center GPU for AI, HPC, and Graphics. Features like Independent Thread Scheduling and game-changing Tensor Cores enable Volta to simultaneously deliver the fastest and most accessible performance of any comparable processor. Join us for a tour of the features that will make Volta the platform for your next innovation in AI and HPC supercomputing.”

ThinkParQ Welcomes New CEO as BeeGFS Continues Record Growth

Today ThinkParQ announced the appointment of Frank Herold as CEO. While the company enjoyed a record-setting year in 2017, the move sets the stage for further growth of the BeeGFS file system for high performance computing. “Frank has a long history in the field of large scale enterprise file systems and is well experienced in expansion into new markets, which is exactly our strategic focus for the years ahead. With his strong technical and management background, I trust that he is the ideal person to manage the company based on a deep understanding of customer and market demands.” says Sven Breuner, former CEO of ThinkParQ.

Research Report Reveals Divided Vision of Future Human-Machine Partnership

Today Dell Technologies released a research report that examines the future of human machine partnerships and reveals that business leaders are divided regarding the future. “Half of the 3,800 global business leaders surveyed forecast that automated systems will free up their time, while the other 50% believe otherwise.”

Analytic Engineering Moves AI GPU Infrastructure to Verne Global in Iceland

Today HPC Cloud provider Verne Global announced that Analytic Engineering of Germany is moving their GPU infrastructure to Iceland. “At Verne Global’s campus, we can grow our business faster and apply more compute resources to our programs than at any other data center that we evaluated,” said Tobias Seifert, Co-CEO at Analytic Engineering. “This is a critical competitive advantage to us, as we look to deliver highly complex software solutions that enable our customers to iterate faster through applications driven by AI and Machine Learning.”

One Stop Systems Plans for IPO

HPC vendor One Stop Systems has announced plans to raise $20 million in an initial public offering (IPO) on Wednesday, January 31. Founded in 1998, the company plans to issue 2,900,000 shares at a price of $6.00-$8.00 per share. “OSS designs, manufactures and markets high-end systems for high performance computing applications. We combine state-of-the art components from major technology providers to design and manufacture purpose-built systems that allow our customers to exploit Big Data opportunities faster and more efficiently.”

Video: Enterprise Ready Deep Learning from IBM

Adel El-Hallack from IBM gave this talk at SC17 in Denver. “The era of AI is here, but realizing business value with deep learning can have its challenges. See how IBM is making it easy to have enterprise-ready deep learning through a combination of high performance hardware and software.”