Cray announced the launch of its new series of production hybrid supercomputers (the Cray XK7 system) in conjunction with the debut of the Cray XK7 supercomputer, nicknamed Titan, at the Department of Energy's Oak Ridge National Laboratory (ORNL). Titan is capable of more than 20 petaflops of high performance computing (HPC) power and is the world's most powerful supercomputer for open science. The Titan system is a 200-cabinet Cray XK7 supercomputer with18,688 compute nodes, each consisting of a16-Core AMD Opteron 6200 Series processor and an NVIDIA Tesla K20 GPU Accelerator. Titan was upgraded from a Cray XT5 supercomputer nicknamed Jaguar. "[The] unveiling of the Titan supercomputer is an exciting moment for Oak Ridge and the Department of Energy's Office of Science, and while the system is currently going through the acceptance process, all of us at Cray share in the enthusiasm that surrounds this amazing tool for open science," said Peter Ungaro, president and CEO of Cray. "The Titan supercomputer is an incredibly powerful Cray XK7 system combining innovative technologies from companies such as AMD and NVIDIA, surrounded by a tightly-integrated Cray hardware and software infrastructure. With today's launch of the Cray XK7, we can now offer our customers the same technologies found in one of the most powerful supercomputers in the world." By combining the features of the high performance Gemini interconnect, the new NVIDIA Tesla K20 GPUs and the 16-core AMD Opteron processors, the Cray XK7 system is capable of scaling to more than 50 petaflops of performance, the company says. The Cray XK7 supercomputer also features a unified CPU/GPU programming environment that provides users with validated tools, libraries, compilers and third-party software, fully integrated with the system's hardware. Upgradeable from Cray XT4, Cray XT5, Cray XT6, Cray XE6 or Cray XK6 systems, the Cray XK7 supercomputer is available now. The system can be configured in a single cabinet with tens of compute nodes, to a multi-cabinet system with tens of thousands of compute nodes. For more information, visit Cray. Sources: Press materials received from the company and additional information gleaned from the company's website.
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