MonetX

A FPGA based smart memory extension for near memory data processing

In-memory computing is taking over traditional disk-based platforms. This puts new requirements for memory size, speed, and cost. Grovf develops technology that extends the memory of the existing servers to several TBs per server while accelerating the in-memory computing workloads.

MongoDB Acceleration using Grovf's MonetX Platform

MongoDB Acceleration using Grovf's MonetX Platform

Databases provide a wealth of functionality to a wide range of applications. Yet, there are tasks for which they are less than optimal, for instance when processing becomes more complex or the data is less structured. As data is exploding exponentially only CPU based systems no longer provide real-time insights to businesses in a cost-effective way. At Grovf we designed a Monet – A FPGA based smart memory extension for near memory data processing. Monet implemented on top of Xilinx’s Alveo U50 acceleration card and once plugged into server’s PCIe bus acts as a standard RAM memory for the Linux operating system with in-memory compute API capability.