What is Modal?
Modal is a high-performance AI infrastructure platform designed for developers working on AI, ML, and data applications. It offers a serverless cloud environment that scales effortlessly, allowing you to focus on your code without worrying about infrastructure. Whether you're running CPU, GPU, or data-intensive tasks, Modal makes it easy to deploy and scale your applications.
What are the features of Modal?
- Sub-second container starts: Built on a Rust-based container stack for lightning-fast iterations.
- Zero config files: Define hardware and container requirements directly in your Python code.
- Scale to hundreds of GPUs in seconds: Autoscale containers instantly to handle any workload.
- Flexible environments: Bring your own image or build one in Python, with support for state-of-the-art GPUs like H100s & A100s.
- Serverless pricing: Pay only for the resources you use, by the second.
What are the use cases of Modal?
- Generative AI: Scale inference workloads effortlessly.
- Fine-tuning and training: Train models without managing infrastructure.
- Batch processing: Handle high-volume workloads with ease.
- Language models: Deploy and run large language models.
- Image, video, and 3D processing: Optimize media processing tasks.
How to use Modal?
- Deploy your code: Use Python decorators to deploy functions to the cloud.
- Scale resources: Define hardware requirements directly in your code.
- Monitor and debug: Use built-in tools to troubleshoot and optimize your applications.
- Integrate with cloud storage: Mount data from S3, R2, and other providers.
