infoTECH Feature

April 12, 2011

Fuzzy Logix Debuts NVIDIA GPU-Based Analytics Appliance

Fuzzy Logix has introduced Tanay ZXnW Series, the company’s state of art analytical appliance. Pre-loaded with a quantitative library, this appliance is built with multiple NVIDIA (News - Alert) Tesla C2070 GPUs.

The Tanay ZXnW Series will allow users to solve their complex analytical problems at breathtaking speed by combining the computational power of GPUs with a built-in library of models. The Tanay solution from Fuzzy Logix helps users find useful insights in real-time from their data by using GPUs to accelerate advanced analytics, the company stated in a press release.

The Fuzzy Logix algorithms use sophisticated quantitative methods to predict the performance of advertising such as banner ads and key words so customers can optimize their staffing levels and timing of new advertisements.

“The driving force behind the introduction of Tanay ZXnW Series is to provide a platform where people can instantly take advantage of algorithms accelerated on the GPU,” stated Partha Sen, CEO of Fuzzy Logix, in a company press release. “We are very excited to launch this product, and we expect that this appliance will bring tremendous value to our customers.”

Based on the CUDA parallel processing architecture, NVIDIA Tesla GPUs offer high performance computing. With the help of Tesla GPUs, people can now achieve computational speed that was unthinkable a few years ago. Running a very large number of Monte Carlo simulations, Principal Component Analysis of large matrices and the calculation of Variance Inflation Factors for a large number of variables are some examples of the types of models that leverage the massive parallelism available.

Recently, the company announced the availability of in-database analytics working with IBM (News - Alert) Informix database software to serve the large base of customers who are seeking to use easily accessible analytics to gain competitive advantage. The product, DB Lytix(TM), is a rich, in-database analytics library built during more than eleven years of extensive research on advanced analytical methods. It contains functions for mathematical and statistical analysis, data mining, and Monte Carlo simulations.


Raju Shanbhag is a contributing editor for TMCnet. To read more of Raju’s articles, please visit his columnist page.

Edited by Rich Steeves
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