Modal

Modal

A serverless platform designed for AI and data teams to execute large-scale compute tasks efficiently.

About Modal

Modal is a cutting-edge serverless platform tailored for AI and data science teams, enabling high-performance AI infrastructure. Users can deploy their code for CPU, GPU, and data-heavy workloads at scale, with instant autoscaling for machine learning inference, data processing, and more. It features sub-second container startup times and requires no complex configuration files.

How to Use

Simply add a single line of code to execute functions in the cloud. The platform automatically manages resource scaling based on demand, letting users focus on developing code. It supports deploying custom AI models, fine-tuning, batch processing, and other advanced workflows.

Features

  • Comprehensive data storage options
  • Automated job scheduling
  • Support for GPU and CPU workloads
  • Seamless integrations with popular tools
  • Automatic resource scaling
  • Serverless compute environment
  • Built-in debugging and diagnostics
  • Flexible environment configurations
  • Web-accessible deployment endpoints

Use Cases

  • Deploy custom AI models at scale
  • Fine-tune and train models without infrastructure worries
  • Run generative AI inference tasks
  • Bioinformatics and computational biology
  • Processing images, videos, and 3D audio data
  • Batch processing for high-volume workloads
  • Develop and deploy large language models
  • Isolated environments for secure code execution

Best For

StartupsData EngineersAI DevelopersData ScientistsResearch TeamsMachine Learning Engineers

Pros

  • High-performance compute capabilities at scale
  • Integrated debugging and troubleshooting tools
  • Rapid cold start times for containers
  • Pay-as-you-go serverless pricing model
  • Easy integration with cloud storage services
  • Customizable environments with flexible images
  • Support for advanced GPUs like H100s and A100s
  • Seamless automatic scaling

Cons

  • Steeper learning curve for new users
  • Limited control over underlying hardware
  • Potentially higher costs for steady workloads compared to fixed infrastructure

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Starter

$0 plus usage-based compute per month

Includes $30 monthly free credits, 3 workspaces, 100 containers, 10 GPU concurrency, limited crons and web endpoints, real-time metrics, and regional deployment options.

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Most Popular

Team

$250 plus usage-based compute per month

Includes $100 monthly free credits, unlimited workspaces, 1000 containers, 50 GPU concurrency, unlimited crons and endpoints, custom domains, static IP proxy, and deployment rollbacks.

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Enterprise

Custom pricing

Volume-based pricing model with unlimited seats, customizable GPU concurrency, dedicated support via private Slack, tailored integration assistance, audit logs, Okta SSO, and HIPAA compliance.

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FAQs

How does Modal’s pricing structure work?
Modal charges are based on actual compute usage, billed per second for container runtime, making costs transparent and predictable.
What types of compute resources are available on Modal?
Modal offers a range of hardware, including Nvidia H100, A100, L40S, A10G, L4, T4 GPUs, along with CPU cores and memory options tailored for intensive data workloads.
What are the available subscription plans?
Plans include Starter, designed for individuals and small teams; Team, suited for startups and growing organizations; and Enterprise, offering customized solutions with advanced support and security features.
What security features does Modal provide?
Modal supports gVisor sandboxing, complies with SOC 2 and HIPAA standards, offers regional data hosting, and enables enterprise SSO for secure access.
Can I deploy machine learning models with Modal?
Yes, Modal is optimized for deploying, fine-tuning, and scaling machine learning models across various frameworks.