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Video: Bill Dally Keynote on Accelerated Machine Learning from GTC Israel

In this video from GTC Israel, Bill Dally from NVIDIA gives a keynote talk on accelerated computing for Machine Learning and HPC. “GTC is the largest and most important event of the year for GPU developers. GTC and the global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, virtual reality, and self-driving cars.”

IBM Unveils AI OpenScale to Accelerate Ai Adoption

Today IBM introduced AI OpenScale, a new technology platform that addresses key challenges of Artificial Intelligence adoption, such as concerns over how AI applications make decisions, the global shortage of AI skills, and the complexities of working with disparate AI tools from multiple vendors.

To accelerate AI adoption, businesses need one place to run all their AI,” said David Kenny, SVP of IBM Cognitive Solutions. “We are committed to enabling our clients to use the AI of their choice, regardless of vendor – and use IBM AI OpenScale to make it transparent and easy to manage. Only through enabling businesses to trust and scale their AI will we enable the AI economy.”

Great Lakes Supercomputer from Dell EMC Coming to University of Michigan

Today the University of Michigan announced their new $4.8 million Great Lakes computing cluster. A Dell EMC system, the new supercomputer will serve researchers across campus. “Great Lakes will also be the first cluster in the world to use the Mellanox HDR 200 gigabit per second InfiniBand networking solution, enabling faster data transfer speeds and increased application performance.”

Video: MIT Makes Billion-Dollar Bet on Ai and Machine Learning

Today MIT announced a new $1 billion commitment to address the global opportunities and challenges presented by the prevalence of computing and the rise of artificial intelligence. The initiative marks the single largest investment in computing and AI by an American academic institution, and will help position the United States to lead the world in preparing for the rapid evolution of computing and AI. ” As we look to the future, we must utilize these important technologies to shape our world for the better and harness their power as a force for social good.”

Call for Papers: Special Issue on Advanced Parallel HPC for AI Applications

Elsevier publishers have launched their Call for Papers on their Special Issue on Advances on Parallel and High Performance Computing for AI Applications. “Clusters of computers and accelerators (e.g. GPUs) are routinely used to train and run models, both in research and production. On the other hand, ML and AI have also become a “killer application” for HPC and, consequently, have driven much of research in this area. For example, tailored computer architecture has been devised and new parallel programming frameworks developed to accelerate AI/ML models. The objective of this special issue is to bring together the HPC and AI/ML communities to present their applications and solutions to performance issues, and also to present how AI/ML can be used to solve HPC problems.”

Intel Powers New AI Research Center at Technion in Israel

Today the Technion technological institute in Israel announced that Intel is collaborating with the institute on its new artificial intelligence (AI) research center. “AI is not a one-size-fits-all approach, and Intel has been working closely with a range of industry leaders to deploy AI capabilities and create new experiences. Our collaboration with Technion not only reinforces Intel Israel’s AI operations, but we are also seeing advancements to the field of AI from the joint research that is under way and in the pipeline.”

NVIDIA HGX-2 Ai Supercomputer Comes to Oracle Cloud Infrastructure

Today Oracle announced support for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, machine learning, and AI, Oracle is offering GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud container registry. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.

Open Source RAPIDS GPU Platform to Accelerate Predictive Data Analytics

Today NVIDIA announced a GPU-acceleration platform for data science and machine learning, with broad adoption from industry leaders, that enables even the largest companies to analyze massive amounts of data and make accurate business predictions at unprecedented speed. “It integrates seamlessly into the world’s most popular data science libraries and workflows to speed up machine learning. We are turbocharging machine learning like we have done with deep learning,” he said.

Nyriad to Power Blockchain-Enabled, AI-Ready Storage at Datacom

Today Hyperscale Storage Processing vendor Nyriad announced an exclusive agreement with Datacom to develop and deploy a next-generation computational storage solution for secure, collaborative processing of data in the Australian market. “Our next-generation data fabric harnesses the power of the GPU to deliver breakthrough storage performance. And that’s where things start to get interesting. The massive processing capacity of the GPU allows us to run artificial intelligence and machine learning models directly on the storage, as well as advanced cryptographic encryption with a blockchain audit ledger in real-time,” said Todd Papaioannou of Nyriad.

Learn What to Do Next with Intel VTune Amplifier Application Performance Snapshot

Tuning code has, for a long time, been an art. Knowing what to look for and how to correct inefficiencies in serious numerical computations has not been easy for most programmers. It’s often hard to even know which tool to start with. Which is why the Intel® VTune™ Amplifier Application Performance Snapshot could prove to be a great way to get an instant summary of an application’s performance characteristics and issues.