Industry Solutions

Genomics

Memory Machine Cloud is a proven solution for checkpointing and restoring long-running, terabyte scale WDL, Cromwell, Nextflow, Sareq, and RNAseq workloads; for running entirely on spot instances without losing hours to forced restarts; for getting personalized support to help you get your environment set up and scale to the cloud; for estimating costs on GCP and AWS before paying a dime; and for comparing wall-time and spot cost savings against on-demand.

Columbia University submits hundreds of thousands of jobs to AWS and run them cost effectively on EC2 Spot instances
TGen improves efficiency and performance of Nextflow workflows on AWS
Optimizing Omics in the Cloud

Financial Services

For modern FSI applications incorporating GPU-intensive and memory-hungry AI models, MemVerge has developed solutions for expanding Server CXL memory, sharing CXL fabric-attached memory, and increasing the utilization of precious GPU resources.

Expanding server CXL memory
Sharing fabric-attached CXL memory
Memory Machine AI GPU-as-a-Service

EDA

The Cadence and MemVerge collaboration delivers a transparent, low-overhead incremental checkpoint and restore solution that makes EDA jobs resilient (hot restart) to Spot pre-emptions and without needing to change the underlying EDA application.

Cadence Press Release
Achieving K8S and Public Cloud Operational Efficiency using a New Checkpoint/Restart Feature for GPUs
GPU Checkpoint Demo