
Modal is a serverless platform for AI and data teams to run CPU, GPU, and data-intensive compute at scale with custom code.
Modal
Introduction
Modal is a powerful serverless platform designed for AI and data teams. It enables seamless execution of CPU, GPU, and data-intensive workloads at scale using custom code, eliminating the complexities of infrastructure management.
Key Features
- Run custom code on CPU or GPU clusters with ease
- Scale compute resources dynamically based on demand
- Integrated support for data-intensive applications and workflows
- No infrastructure setup or maintenance required
Benefits
Modal accelerates development and reduces operational overhead. Teams can focus on writing code instead of managing servers, while benefiting from high performance, cost-efficiency, and automatic scalability for demanding computational tasks.
Who Is It For?
Modal is ideal for machine learning engineers, data scientists, researchers, and developers working on resource-heavy applications such as model training, data processing, simulations, and generative AI tasks.
Frequently Asked Questions
- Is Modal truly serverless? Yes, Modal handles all infrastructure provisioning and scaling automatically.
- What languages does Modal support? It primarily supports Python, with more languages coming soon.
- How does pricing work? You pay only for the compute time and resources you use.