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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.
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