NVIDIA Tesla P100 Supercharges HPC Applications By More Than 30X

Posted by News Room On Monday, June 20, 2016 0 comments
NVIDIA 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 data1. 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. 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 center 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 application4.

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