Optimizing
Big Memory
GPU Workloads

in the era of Generative AI

Memory Machine™

Leveraging MemVerge innovations in transparent checkpointing, GPU scheduling, memory tiering and sharing, Memory Machine™ suite of products empower organizations to utilize spot instances to cut their cloud bills in half, stand up GPU-as-a-Service to double GPU utilization, and accelerate AI workloads with CXL.

Memory Machine
Cloud

Protect spot instances & cut cloud costs

Memory Machine
AI

GPU automation & optimization

Memory Machine
Checkpoint Engine for AWS Batch

Transparent application checkpointing & restore

Memory Machine
X

CXL memory expansion & sharing

Memory Machine Checkpoint Engine

for AWS Batch

The SpotSurfer feature in Memory Machine Checkpoint Engine can expand the capability of an AWS Batch environment to bring more workloads onto low-cost Spot instances. The service combines checkpointing with cloud automation gracefully handles spot terminations, making it possible for big stateful workloads to run safely on Spot instances, and allowing you to save up to 90% in compute cost.

Industry Solutions

Genomics

Run Nextflow pipelines, next-generation sequencing (NGS), and other genomic analysis safely and reliably on EC2 Spot instances

Financial Services

Increase GPU utilization with GPU-as-a-Service, accelerate with CXL memory, pause and resume with CPU and GPU checkpointing

EDA

Cadence has collaborated with MemVerge to enable seamless support for AWS Spot instances for long-running high-memory EDA jobs

Use Cases

Slash Cloud
Costs

Scientific researchers at leading universities use Memory Machine Cloud to slash cloud costs by 50%

Double GPU
Utilization

AI practitioners deploy Memory Machine AI to double GPU utilization

Accelerate AI
Workloads

IT architects everywhere redesign big memory data centers with Memory Machine X to accelerate AI workloads