Sold by: Modal
Modal is a serverless compute platform for AI, ML, and data teams.
Overview
Modal is a serverless compute platform for AI, ML, and data teams. We make it easy for developers to run workloads like ML inference, fine-tuning, and batch data jobs in the cloud. Our custom infrastructure allows us to spin up GPU-enabled containers in as little as one second, helping you iterate fast and scale up to large production workloads. We scale resources up and down for you so you only ever pay for what you use.
Please contact sales@modal.com to discuss pricing before purchasing Modal.
Highlights
- Autoscale to hundreds of GPUs and back down to zero in seconds, without managing and configuring boilerplate infra.
- Deploy Python functions to the cloud using infrastructure-as-code to define custom container images and hardware requirements.
- Pay as you go and only pay for the resource time you use.
Details
Sold by
Delivery method
Deployed on AWS
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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 the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Enterprise Platform Fee | The Enterprise tier monthly platform fee covers access to the full enterprise feature set, including >30 GPU concurrency, region selection, a private support channel, SSO, HIPAA BAAs, and more. This is separate from the usage component of billing, which is described in detail below. Usage pricing can be discounted based on volume commits. | $1,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Modal Add-ons | Add-ons | $0.01 |
Modal Usage | Usage | $0.01 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Private Slack channel with the Modal team.
support@modal.com
support@modal.com
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.
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Serverless Compute
Provides serverless compute infrastructure specifically designed for AI, ML, and data processing workloads
GPU Container Deployment
Enables rapid GPU-enabled container deployment with startup times as low as one second
Infrastructure as Code
Supports deploying Python functions to cloud environments with custom container image and hardware specification definitions
Dynamic Resource Scaling
Automatically scales computational resources up to hundreds of GPUs and down to zero based on workload requirements
Cloud Workload Optimization
Supports complex computational tasks including ML inference, fine-tuning, and batch data processing
Machine Learning Workflow Automation
Comprehensive AI platform with end-to-end workflow capabilities for building, deploying, and operationalizing machine learning and generative AI applications
Large Language Model Customization
Advanced capabilities for fine-tuning models using techniques like Retrieval-Augmented Generation (RAG) and Retrieval-Augmented Fine-Tuning (RAFT)
GPU Resource Management
Dynamic GPU resource provisioning with scalable and flexible deployment across multiple environments including cloud, on-premises, and hybrid infrastructures
AI Application Governance
Built-in monitoring, guardrails, and governance mechanisms for managing machine learning and generative AI application lifecycles
Multi-Environment Deployment
Supports deployment across diverse computing environments with auto-scaling and automation capabilities
Distributed Computing Framework
Utilizes Dask for scaling Python computations across distributed clusters
Serverless Computation
Supports serverless function execution with configurable memory and region specifications
Cloud Integration
Seamlessly runs popular Python libraries like pandas, NumPy, scikit-learn, PyTorch across cloud infrastructure
Environment Synchronization
Automatically synchronizes packages, credentials, and files across computational environments
Command Line Interface
Provides CLI capabilities for launching and managing computational jobs with simple command syntax
Standard contract
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