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NVIDIA Tensor Core GPUs Accelerate World’s Fastest Supercomputers

Today NVIDIA is highlighting news that the world’s top AI supercomputers on the TOP500 are all powered by the company’s Tensor Core GPUs. The new “AI supercomputers” on the list include Summit and Sierra in the USA and the ABCI machine in Japan. “The new TOP500 list clearly shows that GPUs are the path forward for supercomputing in an era when Moore’s Law has ended,” said Ian Buck, vice president and general manager of accelerated computing at NVIDIA.

Video: IBM Brings NVIDIA Volta to Supercharge Discoveries

In this video from GTC 2018, Adel El-Hallak from IBM describes how IBM and NVIDIA are partnering to build the largest supercomputers in the world to enable data scientists and application developers to not be limited to any device memory. Between IBM and NVIDIA, you can capitalize on the Volta 32GB memory and the entire system as a whole.

IBM Readies Power9 Coral Supercomputers at SC17

In this video from SC17, Ken King describes how new Power9 compute nodes will power the next generation of the world’s most powerful Coral supercomputers at ORNL and LLNL. “We’re pleased to announce that we are delivering on our project, with our next-generation IBM Power Systems with NVIDIA Volta GPUs being deployed at Oak Ridge and Lawrence Livermore National Labs.”

Video: Introducing the 125 Petaflop Sierra Supercomputer

In this video, researchers from Lawrence Livermore National Laboratory describe Sierra, LLNL’s next-generation supercomputer. “The IBM-built advanced technology high-performance system is projected to provide four to six times the sustained performance and be at least seven times more powerful than LLNL’s current most advanced system, Sequoia, with a 125 petaFLOP/s peak. At approximately 11 megawatts, Sierra will also be about five times more power efficient than Sequoia.”

No speed limit on NVIDIA Volta with rise of AI

In this special guest feature, Brad McCredie from IBM writes that launch of Volta GPUs from NVIDIA heralds a new era of AI. “We’re excited about the launch of NVIDIA’s Volta GPU accelerators. Together with the NVIDIA NVLINK “information superhighway” at the core of our IBM Power Systems, it provides what we believe to be the closest thing to an unbounded platform for those working in machine learning and deep learning and those dealing with very large data sets.”

LLNL Dedicates New Supercomputer Facility

Today officials from the Department of Energy’s National Nuclear Security Administration and government representatives today dedicated a new supercomputing facility at Lawrence Livermore National Laboratory (LLNL). The $9.8 million modular and sustainable facility provides the Laboratory flexibility to accommodate future advances in computer technology and meet a rapidly growing demand for unclassified high-performance computing.

Video: The Road to the Sierra/Coral Supercomputer

“As it readies for Sierra, a new IBM-based platform, LLNL is not only defining the metrics as it paves the road to Coral, it is taking the first giant steps on the path toward Exascale. This talk will provide an overview of Coral and reveal the plans and progress to evolve applications for Sierra and future large-scale systems.”

Experts Focus on Code Efficiency at ISC 2015

In this special guest feature, Robert Roe from Scientific Computing World explores the efforts made by top HPC centers to scale software codes to the extreme levels necessary for exascale computing. “The speed with which supercomputers process useful applications is more important than rankings on the TOP500, experts told the ISC High Performance Conference in Frankfurt last month.”

IBM and NVIDIA Launch Centers of Excellence at ORNL and LLNL

Today IBM along with Nvidia and two U.S. Department of Energy National Laboratories today announced a pair of Centers of Excellence for supercomputing – one at the Lawrence Livermore National Laboratory and the other at the Oak Ridge National Laboratory. The collaborations are in support of IBM’s supercomputing contract with the U.S. Department of Energy. They will enable advanced, large-scale scientific and engineering applications both for supporting DOE missions, and for the Summit and Sierra supercomputer systems to be delivered respectively to Oak Ridge and Lawrence Livermore in 2017 and to be operational in 2018.