Retail
Data analysis

Nowadays data proves to be a powerful pushing force of the industry. Big companies representing diverse trade spheres seek to make use of the beneficial value of the data. Nowadays data science is a key point for the retail industry. The main tasks in the retail industry that require high-performance data analytics are Recommendation engines, Market basket analysis, Warranty Analytics, Price optimization, Inventory management, Location of new stores, Customer sentiment analysis, Merchandising, Lifetime value prediction and Fraud detection. In all these tasks having supper efficient text processing units are necessary because the main data type that is being generated in the retail industry is unstructured text data. Grovf offers it's text processor engines which is the fastest in the market allowing retail companies to achieve dozens of times faster speed when analyzing unstructured text data while saving the TCO of datacenter 3 times less.

 


FPGA Acceleration for Big Data & AI Computing

Grovf offers products that accelerate big-data analytics and enable organizations to search and analyze the most critical data at speeds approaching real-time.

The Grovf platform takes advantage of the versatile FPGA HWs to accelerate the processing of computationally intensive big-data. We do this by accelerating middleware, so applications running on top of middleware get an automatic boost without any changes on the user application.

Read more about the product on Xilinx® Alveo™ Data Center accelerator cards.


GCache

GCache is an FPGA-based key-value database to efficiently store and retrieve cached data. Network stacks are implemented on FPGA to receive data from fast speed networks completely bypassing any type of operating systems and software layers. Key-value store algorithms are implemented completely on FPGA to handle Memcached compatible operations. Direct connection with DRAM from FPGA is used to stream data to memory for storage and retrieve the data on demand.


GRegex

Regular expressions are specially encoded text strings used as patterns for matching sets of strings. GRegeX is an implementation of standard regular expression algorithm on FPGA chip achieving 12.8 GB/s throughput with a single IP core. Wide range of supported regular expression functions allows developers configure desired rules which can be handled in a chip without reducing the throughput. The target applications include: Smart firewalls, Security and Log Text analysis.

Read more about the product on Xilinx® Alveo™ Data Center accelerator cards