The need for computational power is increasing as data is growing rapidly in breadth and depth. Companies are storing years of enterprise and external data for complex modeling.  GPU technology is the answer for complex modeling due to the parallel processing capability of the units which can process hundreds of thousands (to millions) of calculations concurrently.

NVIDIA invented the GPU in 1999 and has grown from visual computing into super, mobile and cloud computing. NVIDIA’s mobile processors are used in smartphones, tablets and auto infotainment systems. PC gamers rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create visual effects in movies and design everything from golf clubs to jumbo jets. And researchers utilize GPUs to advance the frontiers of science with high-performance computers.

Introducing the world’s fastest accelerators.

NVIDIA Tesla K-series GPU Accelerators are based on the NVIDIA Kepler™ compute architecture and powered by CUDA®, the world’s most pervasive parallel computing model. They include innovative technologies like Dynamic Parallelism and Hyper-Q to boost performance as well as power efficiency and deliver record application speeds for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data analytics.

The innovative Kepler compute architecture design includes:

SMX (streaming multiprocessor) design that delivers up to 3x more performance per watt compared to the SM in Fermi.  It also delivers one petaflop of computing in just ten server racks.

Dynamic Parallelism capability that enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, it greatly simplifies parallel programming.  Plus it enables GPU acceleration of a broader set of popular algorithms, like adaptive mesh refinement (AMR), fast multipole method (FMM), and multigrid methods.

Hyper-Q feature that enables multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization, slashes CPU idle times, and advances programmability—ideal for cluster applications that use MPI.

The NVIDIA® Tesla™ 20-series is designed from the ground up for high performance computing (HPC). Based on the next generation CUDA GPU architecture codenamed “Fermi”, it supports many “must have” features for technical and enterprise computing. These include ECC protection for uncompromised accuracy and data reliability, support for C++, and double precision floating-point performance. When compared to the latest quad-core CPU, Tesla 20-series GPU computing processors deliver equivalent performance at 1/20th the power consumption and 1/10th the cost.

Fuzzy Logix offers libraries of GPU analytics to help you leverage and access the power of NVIDIA GPUs.  More information can be found here.