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