NVIDIA has unveiled the Tesla K80 dual-GPU accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications.
The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing.
It combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing model, and a comprehensive ecosystem of software developers, software vendors, and datacentre system OEMs.
The Tesla K80 dual-GPU accelerator delivers nearly two times higher performance and double the memory bandwidth of its predecessor, the Tesla K40 GPU accelerator.
With 10 times higher performance than today’s fastest CPU, it outperforms CPUs and competing accelerators on hundreds of complex analytics and large, computationally intensive scientific computing applications.
Users can unlock the untapped performance of a broad range of applications with the accelerator’s enhanced version of NVIDIA GPU Boost technology, which dynamically converts power headroom into the optimal performance boost for each individual application.
The Tesla K80 dual-GPU accelerator was designed with the most difficult computational challenges in mind, ranging from astrophysics, genomics and quantum chemistry to data analytics. It is also optimised for advanced deep learning tasks, one of the fastest growing segments of the machine learning field.
“NVIDIA GPUs have become the de facto computing platform for the deep learning community,” said Yann LeCun, Director, AI Research at Facebook, and Silver Professor of Computer Science & Neural Science at New York University.
“Because the accuracy of deep learning systems improves as the models and datasets get larger, we always look for the fastest hardware we can find. The Tesla K80 accelerator, with its dual-GPU architecture and large memory, gives us more teraflops and more GB than ever before from a single server, allowing us to make faster progress in deep learning,” he added.
The Tesla K80 delivers up to 8.74 teraflops single-precision and up to 2.91 teraflops double-precision peak floating point performance, and 10 times higher performance than today’s fastest CPUs on leading science and engineering applications, such as AMBER, GROMACS, Quantum Espresso, and LSMS.
“The Tesla K80 dual-GPU accelerators are up to 10 times faster than CPUs when enabling scientific breakthroughs in some of our key applications, and provide a low energy footprint,” said Wolfgang Nagel, Director, Center for Information Services and HPC, Technische Universität Dresden in Germany. “Our researchers use the available GPU resources on the Taurus supercomputer extensively to enable a more refined cancer therapy, understand cells by watching them live, and study asteroids as part of ESA’s Rosetta mission.”
The Tesla K80 accelerates the broadest range of scientific, engineering, commercial and enterprise HPC and data centre applications — more than 280 in all. The complete catalog of GPU-accelerated applications is available as a free download.
Users can try the Tesla K80 dual-GPU accelerator for free on remotely hosted clusters. Visit the GPU Test Drive website for more information.
Shipping today, the NVIDIA Tesla K80 dual-GPU accelerator will be available from a variety of server manufacturers, including ASUS, Bull, Cirrascale, Cray, Dell, Gigabyte, HP, Inspur, Penguin, Quanta, Sugon, Supermicro, and Tyan, as well as from NVIDIA reseller partners.