scRNA-seq is a process that requires multiple large-scale data processing steps, with high demands on computational memory resources. The technique uses large matrices that need to fit in memory, and intermediate results must be saved and reloaded for other stages, which introduces storage and recovery bottlenecks.

MemVerge's Memory Machine software eliminates the storage of input/output bottlenecks to significantly reduce the overall time to execute the entire scRNA-seq analysis. The bigger memory capacity allows more tasks to run in parallel and an easy rollback to run what-if scenarios.

The results from the combined use of the technologies produce up to 800 times faster scRNA-seq load times and 25 times faster execution for some computational stages, compared to traditional dynamic random-access memory (DRAM)-based solutions.

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