Sold by: MemVerge Inc.
Deployed on AWS
AWS Free Tier
Memory Machine Cloud is a powerful and intuitive container automation platform for running data-intensive pipelines and interactive computing applications in the cloud. Safely run on Spot instances, auto-right-size cloud virtual machines, save cloud costs.
Overview
Memory Machine™ Cloud (MMC) is a software product from MemVerge that streamlines the deployment of containerized applications in AWS. Memory Machine Cloud provides:
Automated cloud resource management Based on your policies, MMC identifies, instantiates, and manages the AWS resources needed to run your workloads. Intelligent job scheduling Submit batch jobs with MMC's built-in job scheduler or use MMC's integration with workflow managers such as Cromwell and Nextflow. Adaptive resource control Avoid over- or under-provisioning cloud resources by using MMC's manual or automatic controls to optimize cloud resources in real-time. Workload continuity for Spot Instances Run stateful workloads on low-cost AWS Spot instances and save up to 80% of the cost of On-demand instances. If a Spot Instance is reclaimed, MMC's AppCapsule technology transfers the complete job state to a new instance and resumes job execution without loss.Click on 'Continue to Subscribe'.
Highlights
- Save up to 80% on On-demand EC2 instance costs by using Memory Machine Cloud to run stateful workloads on Spot instances
- Improve the efficiency of how you use cloud resources by dynamically optimizing for cost and wall time
- Integrate seamlessly with your current workflow environments such as Nextflow, Cromwell, and Flyte!
Details
Sold by
Delivery method
Delivery option
MMC Topology
Latest version
Operating system
CentOs CentOS9
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
MMC Savings Unit | $0.01 |
Vendor refund policy
Refunds are not offered at this time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
MMC Topology
MMCE consists of an OpCenter and a number of worker nodes. OpCenter is a lightweight process that dynamically deploys and destroys worker nodes based on the user's job submissions. OpCenter also provides usage tracking, billing, and user management.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
Additional details
Usage instructions
Click the "Continue to Subscribe" button. After subscribing, you will need to accept the terms and conditions. Click "Accept Terms" to proceed. Please wait patiently while the processing takes place. This may take a few minutes. Once it's completed, click "Continue to Configuration".
IAM Role is configured with the necessary permissions for the MMCloud service. The IAM Policy is created and responsible for accessing AWS services API to create necessary resources to run your compute jobs, including not only EC2 instances, but also disk volumes and security groups to allow network access and management.
Access the application via a browser at http://<Public IPv4 address of OpCenter>/.
For further usage instructions, please refer to the document site: https://docs.memverge.com/MMCloud/latest/ .
Resources
Vendor resources
Support
Vendor support
24x7 support for Severity 1
Support SLA:
Severity 1: 1 hour
Severity 2: 2 business hours
Severity 3: 8 business hours
Severity 4: 1 business day https://memverge.com/support/
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By MemVerge Inc.
By Xosphere
Top
10
In Healthcare & Life Sciences, High Performance Computing, Intelligent Automation
Top
10
In Application Stacks
Top
10
In Application Servers, IT Business Management
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Automated Cloud Resource Management
Identifies, instantiates, and manages AWS resources based on defined policies to run workloads
Intelligent Job Scheduling
Built-in job scheduler with integration capabilities for workflow managers including Cromwell, Nextflow, and Flyte
Adaptive Resource Control
Manual or automatic controls to optimize cloud resources in real-time and prevent over- or under-provisioning
Spot Instance Workload Continuity
AppCapsule technology enables stateful workload execution on AWS Spot instances with automatic state transfer and job resumption upon instance reclamation
Container Application Deployment
Streamlines deployment of containerized applications for data-intensive pipelines and interactive computing in cloud environments
Spot Instance Reliability Management
Transforms unreliable Spot instances into robust resources with equivalent reliability to On-Demand instances
Cloud Cost Optimization Engine
Intelligent optimization engine that maximizes savings through automated resource allocation and placement decisions
Private SaaS Architecture
Secure private Software-as-a-Service deployment model that operates without requiring access to customer accounts
Multi-Region Application Orchestration
Enables seamless movement of applications across cloud regions and availability zones based on cost and performance optimization
Rapid Deployment Framework
Implements cloud optimization configurations with minimal setup time compared to industry alternatives
Machine Learning-Driven Infrastructure Optimization
AI/ML algorithms that continuously analyze and optimize the blend of reserved instances, savings plans, spot instances, and on-demand resources to balance cost efficiency with performance and reliability requirements.
Container-Native Workload Management
Serverless infrastructure management for Kubernetes, EKS, and ECS with automatic scaling, bin-packing, and right-sizing of pods.
Multi-Resource Autoscaling
Automated autoscaling across spot instances, reserved instances, savings plans, and on-demand resources without requiring manual tuning or configuration.
Cloud Cost Analytics and Visibility
Granular cost analytics with integration capabilities that provide visibility across performance, cost, usage, and reliability metrics for resource accountability.
AWS-Native Integration
Turnkey integrations with EC2, Auto Scaling Groups, EKS, CloudFormation, Terraform, and CloudWatch for seamless deployment and monitoring.
Standard contract
No
No
No
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.