GPU Technology Conference Coverage
Fuzzy Logix, Inc., provider of high performance, advanced analytic solutions and Kinetica, provider of the fast, in-memory analytics database accelerated by GPUs, today announced a partnership to offer a joint solution that will allow customers of both companies to leverage high performing advanced analytics with acceleration of 100-500x over CPU-only solutions. The joint solution will initially be targeted at the most time-sensitive and compute-heavy applications in financial services, where speed and scale are critical for near real-time data insights and competitive advantage. Examples for financial services customers include computing intra-day Value at Risk (VaR) for millions of consumer portfolios, options and equity pricing, and risk simulations. Future targets of this joint solution will include applications in retail and IoT.
Kinetica has several advantages when it comes to GPU-accelerated databases – like our UDF capability that converges machine learning, deep learning, and fast OLAP with enterprise-grade security, scalability, availability, and price-performance,” said Amit Vij, CEO of Kinetica. “I am pleased to see these translating into time-to-market advantages for our customers and our partners. We see a clear need for this solution in our customer base. We are happy to expand our offering with pioneer in in-database analytics Fuzzy Logix to bring it to the combined customer base of both companies.”
Under the terms of the agreement, 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 to extend the advanced analytics capabilities of Kinetica. Customers experiencing pain with speed or scaling issues with existing advanced analytic solutions will benefit most from the joint solution. 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 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.”
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