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    Modal

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    Sold by: Modal 
    Deployed on AWS
    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
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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.
    Financing for AWS Marketplace purchases

    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.

    1-month contract (1)

     Info
    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

    Additional usage costs (2)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    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.

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    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.

    Usage information

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    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

    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.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    10
    In Serverless Workloads
    Top
    10
    In Feature Engineering, ML Solutions
    Top
    10
    In High Performance Computing

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    GPU Container Provisioning
    Spin up GPU-enabled containers in as little as one second with custom infrastructure for rapid iteration and scaling.
    Autoscaling Capability
    Automatically scale resources from zero to hundreds of GPUs and back down based on workload demands without manual infrastructure management.
    Infrastructure as Code Deployment
    Deploy Python functions to the cloud using infrastructure-as-code to define custom container images and hardware requirements.
    Serverless Compute Architecture
    Serverless compute platform that abstracts infrastructure management for ML inference, fine-tuning, and batch data processing workloads.
    Pay-Per-Use Resource Billing
    Resource-based billing model that charges only for the actual compute time consumed during workload execution.
    Automated Deployment and Scaling
    Full automation and auto-scaling capabilities for moving AI projects from proof-of-concept to production environments
    Model Fine-tuning Capabilities
    Support for responsible model customization using RAG (Retrieval-Augmented Generation) and RAFT techniques to improve model accuracy and performance
    GPU Resource Optimization
    Dynamic GPU resource provisioning with scaling capabilities to optimize resource utilization across different deployment environments
    Governance and Monitoring
    Built-in governance frameworks, guardrails and monitoring systems for managing ML and GenAI applications in production
    Multi-environment Deployment
    Support for deploying workloads across multiple environments including AWS GovCloud, on-premises and hybrid infrastructure configurations
    Distributed Computing Runtime
    Unified runtime powered by Ray that distributes Python code and AI libraries across thousands of CPUs, GPUs, or both for scalable processing
    Multi-Framework Support
    Support for distributed execution of XGBoost, PyTorch, vLLM, and other AI libraries within a single platform
    Flexible Deployment Options
    Deployment capability across fully managed Anyscale-hosted infrastructure, customer VPC via BYOC, VM-based infrastructure on EC2, and Kubernetes environments including AWS EKS and SageMaker HyperPod
    GPU Optimization
    GPU-optimized compute platform designed for accelerated AI workload processing
    Multi-Node Development Environment
    Multi-node backed IDE with self-service cluster provisioning for batch and online processing without manual cluster management

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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