Modal

Modal automatically builds and manages containers based on your Python code definitions. You simply define your requirements in code, and Modal handles the image building and caching, ensuring your remote environment matches your local setup without manual Dockerfile management.

Yes, Modal provides on-demand access to a variety of powerful GPUs, including NVIDIA A100s and H100s. You can attach these to your functions with a single line of code, paying only for the seconds the hardware is actually executing your task.

Modal is built for massive horizontal scaling, allowing you to trigger thousands of parallel containers instantly. The platform automatically manages the lifecycle of these instances, scaling up to meet demand and scaling down to zero when the work is finished.

Migration is straightforward because Modal uses a Python-native interface. By adding a few decorators to your existing functions and defining your environment, you can move from local execution to cloud-scale infrastructure with minimal code changes.

Modal is ideal for compute-intensive tasks such as training and fine-tuning LLMs, running batch inference, processing large-scale video or image data, and deploying serverless web endpoints that require specialized hardware like GPUs.

Absolutely. Modal is designed to fit into modern development workflows, allowing you to deploy and update your cloud functions directly from your CI/CD scripts using the Modal CLI, making it easy to automate your production deployments.

The Starter plan is designed for individuals and small teams to get up and running quickly. The Team plan, priced at $250 per month, offers higher concurrency limits, shared workspaces for collaboration, and enhanced support to help growing startups scale their infrastructure.

Yes, Modal offers an Enterprise plan tailored for large organizations. This tier includes advanced security features, dedicated support, and custom service level agreements (SLAs) to provide the confidence needed for mission-critical production workloads.

Modal implements robust isolation between workloads and encrypts data both in transit and at rest. For Enterprise customers, we offer additional security configurations and compliance measures to meet strict corporate governance and privacy standards.

Modal is headquartered in the USA and utilizes major cloud providers for its underlying compute. We follow industry best practices for data handling and provide transparency into how your code and data are processed within our secure cloud environment.

We provide comprehensive documentation including API references, tutorials, and example templates for common AI workflows. Users can also access technical support and engage with our engineering team to resolve complex infrastructure challenges.

Yes, especially for Team and Enterprise customers, we provide guidance on best practices for architecture and cost optimization. Our goal is to ensure your team can transition to serverless infrastructure without any downtime or performance bottlenecks.