Memory Machine™ Cloud Edition (MMCE) enables customers to leverage low-cost AWS Spot instances for Docker and OCI containerized workloads, delivering up to 80% cost savings on EC2 Instances. MMCE's patented AppCapsule technology delivers workload continuity when AWS reclaims assigned Spot instances. The service-oriented architecture supports fire-and-forget job submission, a process similar to standard job schedulers.

MMCE automates container workload lifecycle on AWS Spot instances. When AWS reclaims assigned Spot instances, MMCE migrates the container running on the spot to another available spot instance. MMCE does it without losing the container state or data in memory/CPUs (AppCapsule).

MMCE automates the cloud resource management of Docker, and OCI containerized workloads. MMCE reduces the IT overhead of running complex scientific workloads on the cloud.

Secure and Private by design. The platform is deployed directly into the customer's AWS account (100% in Tenant), and data, containers, applications, and results never leave the customer's AWS account.

MMCE Application library contains the pre-qualified containerized application images that can dramatically speed up the deployment of well-understood applications. Customers can add to their private library.

Ideal workloads include:

Bioinformatics, genomics, and metagenomics analyses ( Blast+, SPAdes, Seurat), MATLAB, Mathematica, NASTRAN, Rendering, Houdini, Maya, R, Python, Batch workloads, Batch Jobs, Long-running jobs.