Modal Labs
Serverless cloud for AI models, batch jobs, and GPU workloads in Python
About Modal Labs
Modal Labs is a high-performance serverless cloud platform that enables AI engineers and developers to run Python code in the cloud with instant access to thousands of CPUs, GPUs, and persistent network volumes. Founded by former Spotify CTO Erik Bernhardsson, Modal reimagines cloud computing with sub-second cold starts and zero infrastructure configuration. With Modal, you define your container image, dependencies, and GPU hardware directly inside standard Python code using simple decorators (e.g. `@app.function(gpu="H100")`). Modal handles container building, volume mounting, GPU scheduling, and automatic scaling down to zero in milliseconds, making it the premier choice for running generative AI models, ComfyUI video pipelines, and massive parallel batch jobs.
Modal operates a custom container runtime built in Rust that bypasses standard Docker daemon overhead, allowing container images to spawn in under 900 milliseconds. Its distributed filesystem mounts shared NetworkFileSystem (NFS) volumes across thousands of simultaneous workers with near-local NVMe read speeds. Modal supports NVIDIA T4, L4, A10G, A100 (40GB/80GB), and H100 SXM5 GPUs. Developers can attach web endpoints (`@app.web_endpoint`), schedule recurring cron tasks, execute distributed map-reduce jobs across tens of thousands of cores, and monitor live streaming logs via the interactive web console.
Install the Modal library with pip install modal and run modal setup.
Write your Python script and specify dependencies and GPU type via @app.function decorators.
Test your function in the cloud with modal run script.py.
Deploy persistent serverless web endpoints or scheduled crons with modal deploy script.py.
Scale automatically to thousands of parallel GPU containers with per-second billing.
Capabilities & Features
Common Use Cases
serverless-gpu-inference
comfyui-video-pipelines
large-scale-batch-processing
fine-tuning-llms
scheduled-web-crawlers
Frequently Asked Questions
How fast are cold starts on Modal Labs?
Modal custom container runtime boots Python containers in under 1 second, compared to 30-90 seconds on standard Kubernetes clusters.
How does billing work on Modal?
Modal bills purely for the exact seconds your functions execute. When your code finishes, containers terminate immediately with zero idle charges.
Can I run ComfyUI and Stable Diffusion on Modal?
Yes, Modal is one of the most popular platforms for running serverless ComfyUI workflows and video generation pipelines at scale.
Free Plan
$30 free compute credit every month for all users with full access to GPUs and CPUs.
Paid Plan
Pay-per-second serverless execution: T4 at $0.59/hr, A100 (40GB) at $2.10/hr, H100 (80GB) at $4.55/hr.
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Pros & Cons
Sub-second container cold starts with custom Rust runtime
Define entire container environments and hardware requirements in pure Python
Generous $30/month free compute credits for every developer account
Instant access to massive fleets of NVIDIA H100, A100, and L4 GPUs
True scale-to-zero per-second billing eliminating idle infrastructure costs
Requires Python development experience
Proprietary cloud platform runtime
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