NVIDIA rolls out world's highest performance accelerator, the Tesla K80

Source: NVIDIA. The NVIDIA
Tesla K80 dual-GPU
accelerator

NVIDIA has unveiled the Tesla K80 dual-GPU accelerator, the world's highest performance accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications. 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.

The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform for accelerating data analytics and scientific computing. It combines GPU accelerators, the CUDA parallel computing model, and an ecosystem of software developers, software vendors, and data centre 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. It outperforms CPUs and competing accelerators on hundreds of complex analytics and large, computationally intensive scientific computing applications. The complete catalog of GPU-accelerated applications is available as a free PDF download.

Users can unlock the untapped performance of a broad range of applications with the accelerator's enhanced version of NVIDIA GPU Boost technology, which provides the optimal performance boost for each application.

The Tesla K80 delivers up to 8.74 teraflops single-precision and up to 2.91 teraflops double-precision peak floating point performance, and10 times higher performance than today's fastest CPUs on leading science and engineering applications, such as AMBER, GROMACS, Quantum Espresso and LSMS.

Key features of the Tesla K80 dual-GPU accelerator include:

• Two GPUs per board - doubles throughput of applications designed to take advantage of multiple GPUs. 
• 24GB of ultra-fast GDDR5 memory - 12GB of memory per GPU, 2x more memory than Tesla K40 GPU, allows users to process 2x larger datasets. 
• 480GB/s memory bandwidth - increased data throughput allows data scientists to crunch though petabytes of information in half the time compared to the Tesla K10 accelerator. Optimised for energy exploration, video and image processing, and data analytics applications. 
• 4,992 CUDA parallel processing cores - accelerates applications by up to 10x compared to using a CPU alone. 
• Dynamic NVIDIA GPU boost technology - scales GPU clocks based on the characteristics of individual applications for maximum performance. 
• Dynamic parallelism - Enables GPU threads to dynamically spawn new threads, enabling users to quickly and easily crunch through adaptive and dynamic data structures. 

Users can also try the Tesla K80 dual-GPU accelerator for free on remotely hosted clusters. Visit the GPU Test Drive website for more information.