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NVIDIA DGX-Ready Program Goes Global

Deploying AI at scale can be an extreme challenge for data centers. To ease the process, NVIDIA has expanded its DGX-Ready Data Center Program to 19 validated partners around the world. “DGX-Ready Data Center partners help companies access modern data center facilities for their AI infrastructure. They offer world-class facilities to host DGX AI compute infrastructure, giving more organizations access to AI-ready data center facilities while saving on capital expenditures and keeping operational costs low.”

John Shalf from LBNL on Computing Challenges Beyond Moore’s Law

In this special guest feature from Scientific Computing World, Robert Roe interviews John Shalf from LBNL on the development of digital computing in the post Moore’s law era. “In his keynote speech at the ISC conference in Frankfurt, Shalf described the lab-wide project at Berkeley and the DOE’s efforts to overcome these challenges through the development acceleration of the design of new computing technologies.”

Podcast: Tackling Massive Scientific Challenges with AI/HPC Convergence

In this Chip Chat podcast, Brandon Draeger from Cray describes the unique needs of HPC customers and how new Intel technologies in Cray systems are helping to deliver improved performance and scalability. “More and more, we are seeing the convergence of AI and HPC – users investigating how they can use AI to complement what they are already doing with their HPC workloads. This includes using machine and deep learning to analyze results from a simulation, or using AI techniques to steer where to take a simulation on the fly.”

Time to Value: Storage Performance in the Epoch of AI

Sven Oehme gave this talk at the DDN User Group meeting at ISC 2019. “New AI and ML frameworks, advances in computational power (primarily driven by GPU’s), and sophisticated, maturing use-cases are demanding more from the storage platform. Sven will share some of DDN’s recent innovations around performance and talks about how they translate into real-world customer value.”

HPC4Energy Innovation Program Funds Manufacturing Research

Today the High Performance Computing for Energy Innovation program (HPC4EI) announced the nine public/private projects awarded more than $2 million from the DOE, with aims of improving energy production, enhancing or developing new material properties and reducing energy usage in manufacturing. “We see increasing interest by both industry and the DOE Applied Energy Offices to leverage the world-class computational capabilities of leading national laboratories to address the significant challenges in improving the efficiency of our national energy footprint,” said HPC4EI Director Robin Miles.”

NERSC Computer Scientist wins First Corones Award

Today the Krell Institute announced that Rebecca Hartman-Baker, a computer scientist at the Department of Energy’s (DOE’s) National Energy Research Scientific Computing Center (NERSC), is the inaugural recipient of the James Corones Award in Leadership, Community Building and Communication. “Hartman-Baker leads the User Engagement Group at NERSC, a DOE Office of Science user facility based at Lawrence Berkeley National Laboratory. A selection committee representing the DOE national laboratories, academia and Krell cited Hartman-Baker’s “broad impact on HPC training; her hands-on approach to building a diverse and inclusive HPC user community, particularly among students and early-career computational scientists; and her mastery in communicating the excitement and potential of computational science.”

Podcast: ExaScale is a 4-way Competition

In this podcast, the RadioFree team discusses the 4-way competition for Exascale computing between the US, China, Japan, and Europe. “The European effort is targeting 2 pre-exa installation in the coming months, and 2 actual ExaScale installations in the 2022-2023 timeframe at least one of which will be based on European technology.”

Video: Verne Global joins NVIDIA DGX-Ready Program as HPC & AI Colocation Partner

In this video, Bob Fletcher from Verne Global describes advantages the HPC cloud provider offers through the NVIDIA DGX Ready Data Center program. “Enterprises and research organizations seeking to leverage the NVIDIA DGX-2 System – the world’s most powerful AI system – now have the option to deploy their AI infrastructure using a cost-effective Op-Ex solution in Verne Global’s HPC-optimized campus in Iceland, which utilizes 100 percent renewable energy and relies on one of the world’s most reliable and affordable power grids.”

Rigetti Computing acquires QxBranch for Quantum-powered Analytics

Today Rigetti Computing announced it has acquired QxBranch, a quantum computing and data analytics software startup. “Our mission is to deliver the power of quantum computing to our customers and help them solve difficult and valuable problems,” said Chad Rigetti, founder and C.E.O. of Rigetti Computing. “We believe we have the leading hardware platform, and QxBranch is the leader at the application layer. Together we can shorten the timeline to quantum advantage and open up new opportunities for our customers.”

Google Cloud and NVIDIA Set New Training Records on MLPerf v0.6 Benchmark

Today the MLPerf effort released results for MLPerf Training v0.6, the second round of results from their machine learning training performance benchmark suite. MLPerf is a consortium of over 40 companies and researchers from leading universities, and the MLPerf benchmark suites are rapidly becoming the industry standard for measuring machine learning performance. “We are creating a common yardstick for training and inference performance,” said Peter Mattson, MLPerf General Chair.