Enhanced GPU-Accelerated In-Database Analytics

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Enhanced GPU-Accelerated In-Database Analytics

Fuzzy Logix, Inc., a provider of high-performance, in-database analytics and Kinetica, the provider of the fastest GPU-accelerated database, have announced a partnership.

· Database Zone ·
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Machine learning and predictive analytics at speeds 100-500x faster than CPU-based analytics are to be available from GPU-accelerated database provider Kinetica.

Fuzzy Logix, Inc., a provider of high-performance, in-database analytics and Kinetica, the provider of the fastest GPU-accelerated database, announced a partnership to offer a joint solution that will allow customers of both companies to leverage high-performing advanced analytics with an acceleration of 100-500x on one-tenth the hardware over CPU-only based solutions. 

According to Kinetica’s CEO and co-founder, Amit Vij, in-database analytics capabilities are now extended by hundreds of additional in-database analytic functions from Fuzzy Logix that will now be able to take advantage of Kinetica’s distributed GPU pipeline via its User Defined Functions (UDFs).

The joint solution will initially be targeted at the most time-sensitive and compute-heavy applications in financial services, retail, and healthcare, where speed and scale are critical for real-time data insights and competitive advantage.

Analytics and data science teams will have access to a rich library of algorithms on an SQL-compliant, in-memory database that leverages the GPU’s massive parallelization and brute force compute for real-time analytics. Use cases include computing portfolio risk management, options and equity pricing, product-based inventory optimization, next likely purchase, prescribing habits of physicians, and care gap analysis.  

“Leveraging GPUs for analytical workloads is on the rise, particularly among financial services, life sciences and retail organizations that often deal with extremely large data volumes with high scaling and real-time processing requirements,” said Jim Curtis, Senior Analyst, Data Platforms and Analytics at 451 Research. “As such, the partnership between Kinetica and Fuzzy Logix should provide these additional analytical capabilities.”

The joint solution will be available as a premium offering from Kinetica. Fuzzy Logix’s GPU-accelerated and highly parallelized machine learning and predictive analytics algorithms will be embedded inside of Kinetica’s GPU database to extend the advanced in-database analytics capabilities of Kinetica. The combined offering will make it easy for customers to acquire and get support from a single provider, whether deployed in on-premises, cloud, or a hybrid architecture.  The first set of algorithms will be available by the third quarter of 2017.

“I’m pleased to announce the launch of this joint solution, which promises to be the first-of-its-kind in meeting an unmet market need,” said Partha Sen, CEO of Fuzzy Logix. “Fuzzy Logix has already managed to achieve 100-500x performance improvement using NVIDIA GPUs, and with this Kinetica partnership, we can now bring the merits of these GPU gains and our in-database technology to the most challenging problems with which the industry continues to struggle.”

“Since 2012, Fuzzy Logix has had GPU-accelerated analytics, but no GPU-accelerated database to take full advantage of their advancements at scale.  We are very excited that Fuzzy Logix has chosen the Kinetica GPU database as the home for their extensive library of GPU-accelerated analytics,” said Vij.  “We are pleased to extend our offering of in-database analytics with the leading pioneer in this space, Fuzzy Logix, and bring this joint solution to the customer base of both companies.”

data analytics, database, gpu, high performance, in database analytics

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