
What is Modal
Modal provides a high-performance, serverless cloud infrastructure designed for AI, machine learning, and data applications. It allows developers to run generative AI models, large-scale batch jobs, job queues, and more without managing the underlying infrastructure. With Modal, you can bring your own code and scale effortlessly, paying only for the resources you use.
How to Use Modal
- Sign Up: Create an account on Modal's platform.
- Deploy Code: Use Python decorators to deploy your code.
- Scale: Scale your applications to hundreds of GPUs or CPUs with a single line of code.
- Pay-as-you-go: Only pay for the compute resources you use, by the second.
Use Cases of Modal
Modal is ideal for:
- Generative AI Inference: Scale AI models with fast cold boots and seamless autoscaling.
- Fine-tuning and Training: Train models on Nvidia A100 and H100 GPUs without managing infrastructure.
- Batch Processing: Handle high-volume workloads with serverless pricing and powerful compute primitives.
Features of Modal
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Flexible Environments
Bring your own image or build one in Python, scale resources as needed, and leverage state-of-the-art GPUs like H100s & A100s for high-performance computing.
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Seamless Integrations
Export function logs to Datadog or any OpenTelemetry-compatible provider, and easily mount cloud storage from major providers (S3, R2 etc.).
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Data Storage
Manage data effortlessly with storage solutions (network volumes, key-value stores and queues). Provision storage types and interact with them using familiar Python syntax.
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Job Scheduling
Take control of your workloads with powerful scheduling. Set up cron jobs, retries, and timeouts, or use batching to optimize resource usage.
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Web Endpoints
Deploy and manage web services with ease. Create custom domains, set up streaming and websockets, and serve functions as secure HTTPS endpoints.
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Built-In Debugging
Troubleshoot efficiently with built-in debugging tools. Use the modal shell for interactive debugging and set breakpoints to pinpoint issues quickly.