This new category is sparking a revolution in data center architecture where all applications will run in memory. Until now, in-memory computing has been restricted to a select range of workloads due to the limited capacity and volatility of DRAM and the lack of software for high availability. Big Memory Computing is the combination of DRAM, persistent memory and Memory Machine software technologies, where the memory is abundant, persistent and highly available.

Transparent Memory Service

Scale-out to Big Memory configurations.
100x more than current memory.
No application changes.

Big Memory Machine Learning and AI

* The model and feature libaries today are often placed between DRAM and SSD due to insufficient DRAM capacity, causing slower performance
* MemVerge Memory Machine bring together the capacity of DRAM and PMEM of the cluster together, allowing the model and feature libraries to be all in memory.
* Transaction per second (TPS) can be increased 4X, while the latency of inference can be improved 100X