Speaker: Amit Golander, CTO, Plexistor

In-memory compute gave up on storage and moved the active working set to memory. This brings tremendous performance gains, but also consumes expensive DRAM resources; puts data at risk; and suffers from slow recovery time when power failures occur.


In this talk we will present the convergence of memory and storage, and how it can address these deficiencies. We will show examples in which Software-defined memory (SDM) has enabled: running working sets that are much larger than the DRAM budget; provide last-transaction safety; and immediately recover from power failure.