Modal

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

AI Developer Tools AI API Large Language Models (LLMs)AI Models AI Transcription AI OCR AI Chatbot AI Image Generator AI Music Generator AI Video Generator

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 for your needs. All plans include 24/7 support and regular updates.

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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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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Frequently Asked Questions

Find answers to common questions about Modal

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.