19 Jun 2016 Frankfurt - To meet the unprecedented computational demands placed on modern data centres, NVIDIA has introduced the NVIDIA Tesla P100 GPU accelerator for PCIe servers, which delivers massive leaps in performance and value compared with CPU-based systems. Demand for supercomputing cycles is higher than ever. The majority of scientists are unable to secure adequate time on supercomputing systems to conduct their research, based on National Science Foundation data. In addition, high performance computing (HPC) technologies are increasingly required to power computationally intensive deep learning applications, while researchers are applying AI techniques to drive advances in traditional scientific fields.
The Tesla P100 GPU accelerator for PCIe meets these computational demands through the unmatched performance and efficiency of the NVIDIA Pascal GPU architecture. It enables the creation of "super nodes" that provide the throughput of more than 32 commodity CPU-based nodes and deliver up to 70 percent lower capital and operational costs.
"Accelerated computing is the only path forward to keep up with researchers' insatiable demand for HPC and AI supercomputing", stated Ian Buck, vice president of accelerated computing at NVIDIA. "Deploying CPU-only systems to meet this demand would require large numbers of commodity compute nodes, leading to substantially increased costs without proportional performance gains. Dramatically scaling performance with fewer, more powerful Tesla P100-powered nodes puts more dollars into computing instead of vast infrastructure overhead."
The Tesla P100 for PCIe is available in a standard PCIe form factor and is compatible with today's GPU-accelerated servers. It is optimized to power the most computationally intensive AI and HPC data centre applications. A single Tesla P100-powered server delivers higher performance than 50 CPU-only server nodes when running the AMBER molecular dynamics code, and is faster than 32 CPU-only nodes when running the VASP material science application.
Later this year, Tesla P100 accelerators for PCIe will power an upgraded version of Europe's fastest supercomputer, the Piz Daint system at the Swiss National Supercomputing Center in Lugano, Switzerland.
"Tesla P100 accelerators deliver new levels of performance and efficiency to address some of the most important computational challenges of our time", stated Thomas Schulthess, professor of computational physics at ETH Zurich and director of the Swiss National Supercomputing Center. "The upgrade of 4,500 GPU-accelerated nodes on Piz Daint to Tesla P100 GPUs will more than double the system's performance, enabling researchers to achieve breakthroughs in a range of fields, including cosmology, materials science, seismology and climatology."
The Tesla P100 for PCIe is the latest addition to the NVIDIA Tesla Accelerated Computing Platform. Key features include:
Tesla P100 for PCIe specifications include:
1. 16GB of CoWoS HBM2 stacked memory, delivering 720GB/sec of memory bandwidth
2. 12GB of CoWoS HBM2 stacked memory, delivering 540GB/sec of memory bandwidth
NVIDIA Tesla P100 GPU accelerator for PCIe-based systems is expected to be available beginning in Q4 2016 from NVIDIA reseller partners and server manufacturers, including Cray, Dell, Hewlett Packard Enterprise, IBM and SGI.