187 lines. Modal came to play.

Modal is revolutionizing cloud computing by making it easy to run Python code with minimal setup, especially for AI models and batch processing. With serverless APIs and GPU inference, it’s a dream for developers looking to innovate quickly in the cloud!

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187 lines -82%
3 sections -82%
2 files

Modal's llms.txt Insights

Short and sweet

3 sections. Minimalist, but hey — at least they showed up.

War and Peace vibes

187 lines. They really wanted AI to understand them.

Double trouble

Runs both llms.txt and llms-full.txt. Someone takes this seriously.

What's inside Modal's llms.txt

Modal's llms.txt contains 2 sections:

  • Modal llms.txt
  • Docs

How does Modal's llms.txt compare?

ModalDirectory AvgTop Performer
Lines1871029163,447
Sections3173207

Cool table. Now the real question — where do you land? Find out →

Modal's llms.txt preview

First 100 of 187 lines

# Modal llms.txt

> Modal is a platform for running Python code in the cloud with minimal
> configuration, especially for serving AI models and high-performance batch
> processing. It supports fast prototyping, serverless APIs, scheduled jobs,
> GPU inference, distributed volumes, and sandboxes.

Important notes:

- Modal's primitives are embedded in Python and tailored for AI/GPU use cases,
  but they can be used for general-purpose cloud compute.
- Modal is a serverless platform, meaning you are only billed for resources used
  and can spin up containers on demand in seconds.

You can sign up for free at [https://modal.com] and get $30/month of credits.

## Docs

- [Introduction](https://modal.com/docs/guide)
- Custom container images
  - [Defining Images](https://modal.com/docs/guide/images)
  - [Using existing container images](https://modal.com/docs/guide/existing-images)
  - [Fast pull from registry](https://modal.com/docs/guide/fast-pull-from-registry)
- GPUs and other resources
  - [GPU acceleration](https://modal.com/docs/guide/gpu)
  - [Using CUDA on Modal](https://modal.com/docs/guide/cuda)
  - [Reserving CPU and memory](https://modal.com/docs/guide/resources)
- Scaling out
  - [Scaling out](https://modal.com/docs/guide/scale)
  - [Input concurrency](https://modal.com/docs/guide/concurrent-inputs)
  - [Batch processing](https://modal.com/docs/guide/batch-processing)
  - [Job queues](https://modal.com/docs/guide/job-queue)
  - [Dynamic batching (beta)](https://modal.com/docs/guide/dynamic-batching)
  - [Multi-node clusters (beta)](https://modal.com/docs/guide/multi-node-training)
- [Scheduling and cron jobs](https://modal.com/docs/guide/cron)
- Deployment
  - [Apps, Functions, and entrypoints](https://modal.com/docs/guide/apps)
  - [Managing deployments](https://modal.com/docs/guide/managing-deployments)
  - [Invoking deployed functions](https://modal.com/docs/guide/trigger-deployed-functions)
  - [Continuous deployment](https://modal.com/docs/guide/continuous-deployment)
  - [Running untrusted code in Functions](https://modal.com/docs/guide/restricted-access)
- Secrets and environment variables
  - [Secrets](https://modal.com/docs/guide/secrets)
  - [Environment variables](https://modal.com/docs/guide/environment_variables)
- Web endpoints
  - [Web endpoints](https://modal.com/docs/guide/webhooks)
  - [Streaming endpoints](https://modal.com/docs/guide/streaming-endpoints)
  - [Web endpoint URLs](https://modal.com/docs/guide/webhook-urls)
  - [Request timeouts](https://modal.com/docs/guide/webhook-timeouts)
  - [Proxy Auth Tokens](https://modal.com/docs/guide/webhook-proxy-auth)
- Networking
  - [Tunnels](https://modal.com/docs/guide/tunnels)
  - [Proxies (beta)](https://modal.com/docs/guide/proxy-ips)
  - [Cluster networking](https://modal.com/docs/guide/private-networking)
- Data sharing and storage
  - [Passing local data](https://modal.com/docs/guide/local-data)
  - [Volumes](https://modal.com/docs/guide/volumes)
  - [Storing model weights](https://modal.com/docs/guide/model-weights)
  - [Cloud bucket mounts](https://modal.com/docs/guide/cloud-bucket-mounts)
  - [Dicts](https://modal.com/docs/guide/dicts)
  - [Queues](https://modal.com/docs/guide/queues)
  - [Dataset ingestion](https://modal.com/docs/guide/dataset-ingestion)
- Modal Sandboxes
  - [Sandboxes](https://modal.com/docs/guide/sandbox)
  - [Running commands](https://modal.com/docs/guide/sandbox-spawn)
  - [Networking and security](https://modal.com/docs/guide/sandbox-networking)
  - [File access](https://modal.com/docs/guide/sandbox-files)
  - [Snapshots](https://modal.com/docs/guide/sandbox-snapshots)
- [Modal Notebooks](https://modal.com/docs/guide/notebooks-modal)
- Performance
  - [Cold start performance](https://modal.com/docs/guide/cold-start)
  - [Memory Snapshot](https://modal.com/docs/guide/memory-snapshot)
  - [Geographic latency](https://modal.com/docs/guide/geographic-latency)
- Reliability and robustness
  - [Failures and retries](https://modal.com/docs/guide/retries)
  - [Preemption](https://modal.com/docs/guide/preemption)
  - [Timeouts](https://modal.com/docs/guide/timeouts)
  - [GPU health](https://modal.com/docs/guide/gpu-health)
  - [Troubleshooting](https://modal.com/docs/guide/troubleshooting)
- [Security and privacy](https://modal.com/docs/guide/security)
- Integrations
  - [Using OIDC to authenticate with external services](https://modal.com/docs/guide/oidc-integration)
  - [Connecting Modal to your Datadog account](https://modal.com/docs/guide/datadog-integration)
  - [Connecting Modal to your OpenTelemetry provider](https://modal.com/docs/guide/otel-integration)
  - [Okta SSO](https://modal.com/docs/guide/okta-sso)
  - [Slack notifications (beta)](https://modal.com/docs/guide/slack-notifications)
- Workspace & account settings
  - [Workspaces](https://modal.com/docs/guide/workspaces)
  - [Environments](https://modal.com/docs/guide/environments)
  - [Modal user account setup](https://modal.com/docs/guide/modal-user-account-setup)
  - [Service users](https://modal.com/docs/guide/service-users)
- Other topics
  - [Modal 1.0 migration guide](https://modal.com/docs/guide/modal-1-0-migration)
  - [File and project structure](https://modal.com/docs/guide/project-structure)
  - [Developing and debugging](https://modal.com/docs/guide/developing-debugging)
  - [Developing Modal code with LLMs](https://modal.com/docs/guide/developing-with-llms)
  - [Jupyter notebooks](https://modal.com/docs/guide/notebooks)
  - [Asynchronous API usage](https://modal.com/docs/guide/async)
  - [Global variables](https://modal.com/docs/guide/global-variables)
  - [Region selection](https://modal.com/docs/guide/region-selection)

What is llms.txt?

llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like Modal use it to ensure AI accurately represents their brand when answering user queries. Read the spec.

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