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Asperitas Startup Brings Immersive Cooling to Datacenters

Today Dutch startup Asperitas rolled out Immersed Computing cooling technology for datacenters. “The company’s first market ready solution, the AIC24, ‘the first water-cooled oil-immersion system which relies on natural convection for circulation of the dielectric liquid.’ This results in a fully self-contained and Plug and Play modular system. The AIC24 needs far less infrastructure than any other liquid installation, saving energy and costs on all levels of datacentre operations. The AIC24 is the most sustainable solution available for IT environments today. Ensuring the highest possible efficiency in availability, energy reduction and reuse, while increasing capacity. Greatly improving density, while saving energy at the same time.”

Pascal GPUs to Accelerate TSUBAME 3.0 Supercomputer at Tokyo Tech

“TSUBAME3.0 is expected to deliver more than two times the performance of its predecessor, TSUBAME2.5,” writes Marc Hamilton from Nvidia. “It will use Pascal-based Tesla P100 GPUs, which are nearly three times as efficient as their predecessors, to reach an expected 12.2 petaflops of double precision performance. That would rank it among the world’s 10 fastest systems according to the latest TOP500 list, released in November. TSUBAME3.0 will excel in AI computation, expected to deliver more than 47 PFLOPS of AI horsepower. When operated concurrently with TSUBAME2.5, it is expected to deliver 64.3 PFLOPS, making it Japan’s highest performing AI supercomputer.”

Video: The Era of Self-Tuning Servers

“Servers today have hundreds of knobs that can be tuned for performance and energy efficiency. While some of these knobs can have a dramatic effect on these metrics, manually tuning them is a tedious task. It is very labor intensive, it requires a lot of expertise, and the tuned settings are only relevant for the hardware and software that were used in the tuning process. In addition to that, manual tuning can’t take advantage of application phases that may each require different settings. In this presentation, we will talk about the concept of dynamic tuning and its advantages. We will also demo how to improve performance using manual tuning as well as dynamic tuning using DatArcs Optimizer.”

Deep Learning & HPC: New Challenges for Large Scale Computing

“In recent years, major breakthroughs were achieved in different fields using deep learning. From image segmentation, speech recognition or self-driving cars, deep learning is everywhere. Performance of image classification, segmentation, localization have reached levels not seen before thanks to GPUs and large scale GPU-based deployments, leading deep learning to be a first class HPC workload.”

IBM Machine Learning Platform Comes to the Private Cloud

“Machine Learning and deep learning represent new frontiers in analytics. These technologies will be foundational to automating insight at the scale of the world’s critical systems and cloud services,” said Rob Thomas, General Manager, IBM Analytics. “IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides. As clients see business returns on private cloud, they will expand for hybrid and public cloud implementations.”

Defining AI, Machine Learning, and Deep Learning

“In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We also present the results of a recent insideBIGDATA survey to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains.”

Podcast: Democratizing Education for the Next Wave of AI

“Coursera has named Intel as one of its first corporate content partners. Together, Coursera and Intel will develop and distribute courses to democratize access to artificial intelligence and machine learning. In this interview, Ibrahim talks about her and Coursera’s history, reports on Coursera’s progress delivering education at massive scale, and discusses Coursera and Intel’s unique partnership for AI.”

Video: Computing of the Future

Jeffrey Welser from IBM Research Almaden presented this talk at the Stanford HPC Conference. “Whether exploring new technical capabilities, collaborating on ethical practices or applying Watson technology to cancer research, financial decision-making, oil exploration or educational toys, IBM Research is shaping the future of AI.”

Job of the Week: Senior HPC Systems Administrator at Purdue

Purdue University is seeking a Senior HPC Systems Administrator in our Job of the Week. “In this role, you will assist world renowned researchers in advancing science. Additionally, as Senior HPC Systems Administrator, you will be responsible for large sections of Purdue’s innovative computational research environment and help set direction of future research systems. This role requires an individual to work closely with researchers, systems administrators, and developers throughout the University and partner institutions to develop large-impact projects and computational systems.”

Huawei: A Fresh Look at High Performance Computing

Francis Lam from Huawei presented this talk at the Stanford HPC Conference. “High performance computing is rapidly finding new uses in many applications and businesses, enabling the creation of disruptive products and services. Huawei, a global leader in information and communication technologies, brings a broad spectrum of innovative solutions to HPC. This talk examines Huawei’s world class HPC solutions and explores creative new ways to solve HPC problems.